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Volume 13, February
 
 

Processes, Volume 13, Issue 3 (March 2025) – 45 articles

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15 pages, 2437 KiB  
Review
New Techniques of Meat Quality Assessment for Detecting Meat Texture
by Chang Liu, Yanlei Li, Wenming Sun, Feiyu Ma, Xiangwu Wang and Zihao Yang
Processes 2025, 13(3), 640; https://doi.org/10.3390/pr13030640 (registering DOI) - 24 Feb 2025
Abstract
Meat, as an essential food source in people’s lives, provides a wealth of nutrients. The physical properties of meat are directly related to its sensory caracteristics, such as elasticity, viscosity, and toughness. Food rheology, as a discipline that studies the deformation and flow [...] Read more.
Meat, as an essential food source in people’s lives, provides a wealth of nutrients. The physical properties of meat are directly related to its sensory caracteristics, such as elasticity, viscosity, and toughness. Food rheology, as a discipline that studies the deformation and flow behavior of food under force, can effectively characterize these physical properties of meat. The evaluation methods of rheological properties provide a more comprehensive and accurate means of detecting meat quality. This not only helps enhance the quality control level in the meat industry but also holds significant importance for safeguarding consumer rights. This paper reviews the assessment of rheological properties such as sensory evaluation, texture analyzers, and rheometers. The combined application of multiple technologies (such as the integration of hyperspectral imaging (HSI) with computer vision and the fusion of airflow and laser detection) and emerging technologies (such as nanotechnology and biosensor technology) shows potential in predicting the rheological properties of meat. It analyzes the current application status, advantages, and challenges faced by the assessment of rheological properties and provides an outlook on future development trends, offering theoretical references for the objective evaluation of meat quality. Full article
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27 pages, 3985 KiB  
Article
Hydrogen 5.0: Interdisciplinary Development of a Proof-of-Concept Smart System for Green Hydrogen Leak Detection
by Claudio Alarcon, Sofia Alarcon, Alvaro Hoffer and Boris Pavez
Processes 2025, 13(3), 639; https://doi.org/10.3390/pr13030639 (registering DOI) - 24 Feb 2025
Abstract
Green hydrogen is a promising energy vector for industrial applications. However, hydrogen leaks can occur causing greenhouse effects and posing safety risks for operators and local communities, potentially leading to legal liabilities. Industry 4.0 focuses on digital industrial modernization, while Industry 5.0 emphasizes [...] Read more.
Green hydrogen is a promising energy vector for industrial applications. However, hydrogen leaks can occur causing greenhouse effects and posing safety risks for operators and local communities, potentially leading to legal liabilities. Industry 4.0 focuses on digital industrial modernization, while Industry 5.0 emphasizes collaborative, human-centered, and sustainable processes. This study developed and analyzed an Industry 5.0 proof of concept as an additional safety layer for hydrogen leak management. The proof of concept was implemented using Raspberry Pi microcomputers, integrated computer vision, and OpenAI GPT-3 for dynamic email communication. A legal liability analysis for Chile and Spain identified potential challenges in transitioning the system into a market-ready product. The findings suggest the system should act as a complementary safety layer rather than a primary detection system to mitigate legal liability risks, as operational deployment without full certification and validation could lead to malfunctions. This study illustrated how hydrogen detection and management can be integrated into Industry 5.0 smart systems. With growing global interest in sustainable engineering and AI regulation, as reflected in Regulation (EU) 2024/1689, legal considerations over technologies like the one presented in this study are becoming increasingly relevant. Full article
(This article belongs to the Section Process Control and Monitoring)
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14 pages, 1728 KiB  
Article
Characteristics of Resveratrol Tablets Stored Under Stress Conditions by Total Hemispherical Reflectance and Selected Pharmacopoeial Parameters
by Beata Szulc-Musioł and Beata Sarecka-Hujar
Processes 2025, 13(3), 638; https://doi.org/10.3390/pr13030638 (registering DOI) - 24 Feb 2025
Abstract
The introduction of medicine into the pharmaceutical market must be preceded by a stability study. One of the most important reasons for the instability of a drug preparation is improper storage by the patient, which can accelerate the degradation process. In this study, [...] Read more.
The introduction of medicine into the pharmaceutical market must be preceded by a stability study. One of the most important reasons for the instability of a drug preparation is improper storage by the patient, which can accelerate the degradation process. In this study, the novel directional-hemispherical reflectance (THR) and traditional (hardness and friability) methods of drug quality control were used in the characteristics of resveratrol supplemental tablets exposed to light and elevated temperatures. The tablets were stored in an aging chamber at two different temperatures (25 °C, 45 °C) over different time intervals (1 h, 3 h, 1 day, 5 days), yielding seven storage conditions. The 410-Solar Reflectometer allowed us to determine the THR values for seven spectral ranges: 335–380, 400–540, 480–600, 590–720, 700–1100, 1000–1700, and 1700–2500 nm. At each time point, tablets exposed to stress conditions were characterized by lower reflectance values for all spectral ranges, compared to the values on day 0. Compared to day 0, significant differences in THR values were observed at temperatures of 25 °C and 45 °C on day 1 and at a temperature of 25 °C on day 5 across the entire spectrum studied. The change in THR on day 5 of the experiment at 45 °C, compared to 25 °C, was significantly higher only in the UVA 335–380 nm range. In addition, significant changes in the strength parameters of the tablets, i.e., an increase in hardness and a decrease in friability were found on days 1 and 5 of the study, irrespective of temperature. Such significant differences after UV and heat exposure are probably due to changes in the homogeneity of the tablet matrix and may indicate possible physical and chemical changes occurring on the surface or inside the tablet. Full article
(This article belongs to the Section Pharmaceutical Processes)
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21 pages, 11884 KiB  
Article
Process Parameters and Heat-Treatment Optimization for Improving Microstructural and Mechanical Properties of AA6082-T651 Deposit on EN14B Plate Using Friction Surfacing Technique
by Hemlata Jangid, Nirmal K. Singh and Amlan Kar
Processes 2025, 13(3), 637; https://doi.org/10.3390/pr13030637 (registering DOI) - 24 Feb 2025
Abstract
Friction surfacing (FS) is increasingly recognized as an advanced technique for coating similar and dissimilar materials, enabling superior joint quality through plastic deformation and grain refinement. This study investigates the deposition of AA6082-T651 alloy on a medium-carbon steel EN14B substrate using FS, with [...] Read more.
Friction surfacing (FS) is increasingly recognized as an advanced technique for coating similar and dissimilar materials, enabling superior joint quality through plastic deformation and grain refinement. This study investigates the deposition of AA6082-T651 alloy on a medium-carbon steel EN14B substrate using FS, with process parameters optimized, and the effect of axial load, rotational speed, and traverse speed on coating integrity. The optimal sample was subjected to heat treatment (HT) at 550 °C for 24, 36, and 48 h to further enhance mechanical properties. Comprehensive microstructural and mechanical analyses were performed on both heat-treated and non-heat-treated samples using optical microscopy (OM), field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), microhardness testing, and micro-tensile techniques. The optimized sample was processed with a 6 kN axial load, a rotational speed of 2700 rpm, and a traverse speed of 400 mm/min, and demonstrated superior bond quality and enhanced mechanical properties. The highest interfacial hardness values, 138 HV0.1 were achieved for the sample annealed for 48 h, under an axial load of 6 kN. Annealing for 48 h significantly improved atomic bonding at the aluminum–steel interface, confirmed by the formation of Fe3Al intermetallic compounds detected via FESEM-EDS and XRD. These compounds were the primary reason for the enhancement in the mechanical properties of the FS deposit. Furthermore, the interrelationship between process and thermal parameters revealed that a peak temperature of 422 °C, heat input of 1.1 kJ/mm, and an axial load of 6 kN are critical for achieving optimal mechanical interlocking and superior coating quality. The findings highlight that optimized FS parameters and post-heat treatment are critical in achieving high-quality, durable coatings, with improved interfacial bonding and hardness, making the process suitable for structural applications. Full article
(This article belongs to the Special Issue Advances and Implementation of Welding and Additive Manufacturing)
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27 pages, 947 KiB  
Article
Low-Carbon Economic Scheduling of Hydrogen-Integrated Energy Systems with Enhanced Bilateral Supply–Demand Response Considering Vehicle to Grid Under Power-to-Gas–Carbon Capture System Coupling
by Yulong Dang and Weiqing Wang
Processes 2025, 13(3), 636; https://doi.org/10.3390/pr13030636 (registering DOI) - 24 Feb 2025
Abstract
Hydrogen-Integrated energy systems (HIESs) are pivotal in driving the transition to a low-carbon energy structure in China. This paper proposes a low-carbon economic scheduling strategy to improve the operational efficiency and reduce the carbon emissions of HIESs. The approach begins with the implementation [...] Read more.
Hydrogen-Integrated energy systems (HIESs) are pivotal in driving the transition to a low-carbon energy structure in China. This paper proposes a low-carbon economic scheduling strategy to improve the operational efficiency and reduce the carbon emissions of HIESs. The approach begins with the implementation of a stepwise carbon trading framework to limit the carbon output of the system. This is followed by the development of a joint operational model that combines hydrogen energy use and carbon capture. To improve the energy supply flexibility of HIESs, modifications to the conventional combined heat and power (CHP) unit are made by incorporating a waste heat boiler and an organic Rankine cycle. This results in a flexible CHP response model capable of adjusting both electricity and heat outputs. Furthermore, a comprehensive demand response model is designed to optimize the flexible capacities of electric and thermal loads, thereby enhancing demand-side responsiveness. The integration of electric vehicles (EVs) into the system is analyzed with respect to their energy consumption patterns and dispatch capabilities, which improves their potential for flexible scheduling and enables an optimized synergy between the demand-side flexibility and system operations. Finally, a low-carbon economic scheduling model for the HIES is developed with the objective of minimizing system costs. The results show that the proposed scheduling method effectively enhances the economy, low-carbon performance, and flexibility of HIES operation while promoting clean energy consumption, deep decarbonization of the system, and the synergistic complementarity of flexible supply–demand resources. In the broader context of expanding clean energy and growing EV adoption, this study demonstrates the potential of energy-saving, emission-reduction systems and vehicle-to-grid (V2G) strategies to contribute to the sustainable and green development of the energy sector. Full article
(This article belongs to the Section Energy Systems)
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2 pages, 339 KiB  
Correction
Correction: Mateo-Fernández et al. Toxicological and Nutraceutical Screening Assays of Some Artificial Sweeteners. Processes 2022, 10, 410
by Marcos Mateo-Fernández, Miguel Josué González-Jiménez, Mercedes Del Río Celestino, Rafel Font, Ángeles Alonso-Moraga and Tania Merinas-Amo
Processes 2025, 13(3), 635; https://doi.org/10.3390/pr13030635 (registering DOI) - 24 Feb 2025
Abstract
In the original publication [...] Full article
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24 pages, 10667 KiB  
Article
An Investigation of MnOx and K/MnOx-Based Catalysts on MnO2 and Fe3O4 Supports for the Deep Oxidation of Cyclohexane
by Md Sarwar Kamal, Catherine B. Almquist and David L. Tierney
Processes 2025, 13(3), 634; https://doi.org/10.3390/pr13030634 (registering DOI) - 24 Feb 2025
Abstract
K/MnOx catalysts on MnO2 and Fe3O4 supports were synthesized and compared for the deep oxidation of cyclohexane. The presence of potassium (K) on the catalysts enhanced the catalytic activity compared to catalysts with similar composition but without K. [...] Read more.
K/MnOx catalysts on MnO2 and Fe3O4 supports were synthesized and compared for the deep oxidation of cyclohexane. The presence of potassium (K) on the catalysts enhanced the catalytic activity compared to catalysts with similar composition but without K. Interestingly, the lowest loading of K/MnOx used in this study (0.63 mmoles/g support) performed better than those with higher loadings. The presence of K on the catalysts increased water adsorption, decreased the extent of sintering, and inhibited changes in crystal phase of the catalyst support, as evidenced by TGA, XRD, and BET surface area analyses. The XRD profiles of the catalysts showed mixed crystal phases of MnOx and FeOx species, and EPR results support the presence of mixed valence states of Fe and Mn. The activation energies for MnOx-supported catalysts and FeOx-supported catalysts were approximately 50 kJ/mole and 53 kJ/mole, respectively. Full article
(This article belongs to the Special Issue Metal Oxides in Heterogeneous Oxidation Catalysis)
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28 pages, 24348 KiB  
Article
TopADDPi: An Affordable and Sustainable Raspberry Pi Cluster for Parallel-Computing Topology Optimization
by Zhi-Dong Zhang, Dao-Yuan Yu, Osezua Ibhadode, Liang Meng, Tong Gao, Ji-Hong Zhu and Wei-Hong Zhang
Processes 2025, 13(3), 633; https://doi.org/10.3390/pr13030633 (registering DOI) - 24 Feb 2025
Abstract
Parallel-Computing Topology Optimization (PCTO) has gained importance, especially with the advancement of additive manufacturing (AM), due to its ability to tackle high-dimensional, high-resolution challenges. PCTO is highly relevant to sustainable manufacturing processes and technologies, enabling resource-efficient designs, reduced emissions, and advancements in Industry [...] Read more.
Parallel-Computing Topology Optimization (PCTO) has gained importance, especially with the advancement of additive manufacturing (AM), due to its ability to tackle high-dimensional, high-resolution challenges. PCTO is highly relevant to sustainable manufacturing processes and technologies, enabling resource-efficient designs, reduced emissions, and advancements in Industry 4.0 integration. However, PCTO poses difficulties for newcomers or researchers, mainly because of its reliance on non-traditional computing environments and the limited availability of high-performance computing (HPC) resources. Addressing this, the study introduces TopADDPi, a Raspberry Pi-based cluster system, which has been purpose-built to facilitate learning and research in PCTO. It provides detailed instructions for assembling and configuring a Raspberry Pi cluster, with a focus on cost-effectiveness and ease of use. The study thoroughly investigates how different hardware and software configurations affect computing efficiency. In addition, through extensive numerical testing, the performance, energy consumption, and environmental impact of the Raspberry Pi cluster are benchmarked against conventional computing systems. The findings demonstrate the cluster’s advantages in handling parallel computing, its indispensable role in debugging, its remarkable energy efficiency, and its significantly reduced carbon footprint compared to conventional systems. These attributes establish the Raspberry Pi cluster as an invaluable tool for both educational and research applications in structural engineering, offering an affordable, sustainable, and indispensable solution for PCTO. Full article
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15 pages, 1904 KiB  
Article
Pre-Sowing Seed Treatments with Cold Atmospheric Plasma for the Control of Seedling Blights of Winter Wheat
by Tzenko Vatchev, Ivo Todorov Yanashkov, Plamena Marinova and Evgenia Benova
Processes 2025, 13(3), 632; https://doi.org/10.3390/pr13030632 (registering DOI) - 23 Feb 2025
Viewed by 237
Abstract
A wide range of seed-borne and soil-borne plant pathogens belonging to various fungal and fungal-like species cause pre-emergence seed decay and post-emergence seedling blights of wheat and other small-grain cereal crops. To prevent the death of the seedlings, poor establishment and reduced stand [...] Read more.
A wide range of seed-borne and soil-borne plant pathogens belonging to various fungal and fungal-like species cause pre-emergence seed decay and post-emergence seedling blights of wheat and other small-grain cereal crops. To prevent the death of the seedlings, poor establishment and reduced stand of the crops, extensive crop rotations, planting good-quality seeds and seed treatments with fungicides are used on regular basis. This study is aimed at assessing the efficacy of pre-sowing seed treatments with cold atmospheric plasma for the disinfestation of winter wheat seed from economically important fungal and fungal-like pathogens. Uninoculated or surface-inoculated with Fusarium culmorum, Bipolaris sorokiniana or Pythium ultimum wheat seeds, the cultivar Madara was treated by cold plasma produced either by microwave torch (MW) or underwater diaphragm discharge (UW) with low power at very short treatment times, or remained untreated controls. As per the treatments, the seeds were sown in a ready-to-use growing medium comprising a mixture of light and dark moss peat (w:w) 90–95%, 5–10% perlite and 3–5 kg/m3 CaCO3, having an electrical conductivity of 40 mS/m, pH (H2O) of 5.5–6.5 and moisture content of 60–70%, filling in 250 × 250 × 70 mm aluminum flat seed trays (40 grains per tray, four trays per treatment). The plants were cultivated for 45 days in a growth chamber held at (20 ± 2) °C, set to a cycle of 8 h/night and 16 h/day under fluorescent light of 2000–3000 lux intensity. For each replicate, disease incidence (DI) was determined as the total percentage of missing, dead and apparently symptomatic plants. Seed treatment with a microwave plasma torch with a power of 16 W for 40 s significantly (p < 0.001) reduced seedling blights caused by F. culmorum, B. sorokiniana and P. ultimum by 46.8%, 51.0% and 77.3%, respectively, but limited the emergence of wheat seedlings by 15.9% on average. Simultaneously, the effectiveness of underwater discharge seed treatments reached an average of about a 60% reduction of seedling blight caused by F. culmorum and B. sorokiniana and about 37% of the disease caused by P. ultimum. Pre-sowing treatments with a MW plasma torch with an input power of 11 W and treatment time of 60, 90 or 120 s exposure also showed significant (p < 0.001) effects in controlling winter wheat seedling blights caused by the three pathogens. The effectiveness of the treatment increased with increasing the time period of exposure and reached full disease control (>80% reduction) for B. sorokiniana and P. ultimum seedling blights. This study demonstrated that pre-sowing treatment with a microwave plasma torch and underwater diaphragm discharge at a relatively low input power and short exposure time can be used for disinfestation and the effective control of seedling blights in winter wheat caused by seed-borne fungal pathogens, such as Fusarium culmorum and Bipolaris sorokiniana, and fungal-like oomycetes, such as Pythium ultimum. Full article
(This article belongs to the Section Chemical Processes and Systems)
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18 pages, 4525 KiB  
Article
Coordinated Optimization of Household Air Conditioning and Battery Energy Storage Systems: Implementation and Performance Evaluation
by Alaa Shakir, Jingbang Zhang, Yigang He and Peipei Wang
Processes 2025, 13(3), 631; https://doi.org/10.3390/pr13030631 (registering DOI) - 23 Feb 2025
Viewed by 259
Abstract
Improving user-level energy efficiency is critical for reducing the load on the power grid and addressing the challenges created by tight power balance when operating domestic air conditioning equipment under time-of-use (ToU) pricing. This paper presents a data-driven control method for HVAC (heating, [...] Read more.
Improving user-level energy efficiency is critical for reducing the load on the power grid and addressing the challenges created by tight power balance when operating domestic air conditioning equipment under time-of-use (ToU) pricing. This paper presents a data-driven control method for HVAC (heating, ventilation, and air conditioning) systems that is based on model predictive control (MPC) and takes ToU electricity pricing into account. To describe building thermal dynamics, a multi-layer neural network is constructed using time-delayed embedding, with the rectified linear unit (ReLU) serving as the activation function for hidden layers. Using this piecewise affine approximation, an optimization model is developed within a receding horizon control framework, integrating the data-driven model and transforming it into a mixed-integer linear programming issue for efficient problem solving. Furthermore, this research suggests a hybrid optimization model for integrating air conditioning systems and battery energy storage systems. By employing a rolling time-domain control method, the proposed model minimizes the frequency of switching between charging and discharging states of the battery energy storage system, improving system reliability and efficiency. An Internet of Things (IoT)-based home energy management system is developed and validated in a real laboratory environment, complemented by a distributed integration solution for the energy management monitoring platform and other essential components. The simulation results and field measurements demonstrate the system’s effectiveness, revealing discernible pre-cooling and pre-charging behaviors prior to peak electricity pricing periods. This cooperative economic operation reduces electricity expenses by 13% compared to standalone operation. Full article
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13 pages, 2693 KiB  
Article
Big Data Processing Application on the Identification Method of the Dominant Channel in Polymer Flooding
by Ziwu Zhou, Ao Xia, Rui Guo, Lin Chen, Fengshuo Kong, Xiaoliang Zhao and Qi Zhang
Processes 2025, 13(3), 630; https://doi.org/10.3390/pr13030630 (registering DOI) - 23 Feb 2025
Viewed by 206
Abstract
Polymer flooding is a critical enhanced oil recovery technique; however, the development of polymer channeling along dominant channels during its later stages can adversely affect the process by increasing comprehensive water cut and dispersing remaining oil, thereby diminishing development benefits. This study aims [...] Read more.
Polymer flooding is a critical enhanced oil recovery technique; however, the development of polymer channeling along dominant channels during its later stages can adversely affect the process by increasing comprehensive water cut and dispersing remaining oil, thereby diminishing development benefits. This study aims to address this challenge by investigating the identification methods and distribution patterns of dominant channels in polymer flooding to inform and optimize the development strategy. Through a series of experiments, we analyzed how factors such as permeability, heterogeneity, reservoir thickness, and mineral composition influence the formation of dominant channels. We developed an identification method for dominant channels post-polymer flooding using a combination of reservoir engineering and mathematical analysis techniques. Our results highlight the significant role of rock and mineral composition, injection rate, and injection pressure in the formation of dominant channels. By integrating formation physical properties and production data from oil and water wells with the grey correlation method, we effectively identified dominant channels. This identification is crucial for guiding the development and adjustment of polymer flooding, enhancing oil recovery efficiency, and maximizing reservoir performance. Full article
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23 pages, 9814 KiB  
Article
Analysis and Optimization of Thermal Storage Performance of Thermocline Storage Tank with Different Water Distribution Structures
by Xinwei Wang, Longbin Duan, Genying Gao, Weibo Zheng, Dong Sun, Jinyu Li, Jing Fu and Riyi Lin
Processes 2025, 13(3), 629; https://doi.org/10.3390/pr13030629 (registering DOI) - 22 Feb 2025
Viewed by 280
Abstract
Energy storage is essential for solar energy utilization, and thermocline storage tanks are commonly used. To improve temperature stratification and storage efficiency, we investigated the effect of different water distributor configurations on tank stratification. We numerically analyzed the heat storage processes in hot [...] Read more.
Energy storage is essential for solar energy utilization, and thermocline storage tanks are commonly used. To improve temperature stratification and storage efficiency, we investigated the effect of different water distributor configurations on tank stratification. We numerically analyzed the heat storage processes in hot water tanks with three water distribution configurations: star, antenna, and octagonal. Temperature stratification was evaluated based on thermocline thickness and storage efficiency. Thermal storage efficiency improves by 0.45% when the outlet direction of the water distributor matches the fluid’s motion direction during natural stratification. The energy storage process is categorized into three stages based on efficiency changes, with different factors affecting efficiency at each stage. In the initial stage, antenna-type and octagonal water distribution improve temperature uniformity along the axial section, reduce thermocline thickness, and enhance stratification. Final efficiency during this stage is primarily influenced by energy loss resulting from the mixing of hot and cold water. In the development stage, energy storage efficiency decreases mainly because the lower boundary of the thermocline reaches the exit, causing partial discharge of hot water. Among the three configurations, the octagonal water distribution exhibits the lowest energy loss, 6.4% lower than that of the star-type distribution. Full article
(This article belongs to the Special Issue Multiphase Flow Process and Separation Technology)
22 pages, 1457 KiB  
Article
Computational Identification and Characterization of Glycosyltransferase 47 (GT47) Gene Family in Sorghum bicolor and Their Expression Profile in Internode Tissues Based on RNA-Seq Data
by Rehana Rehana, Muhammad Anwar, Sarmad Frogh Arshad and Muhammad Asif Saleem
Processes 2025, 13(3), 628; https://doi.org/10.3390/pr13030628 (registering DOI) - 22 Feb 2025
Viewed by 284
Abstract
Sorghum is an essential crop for biofuel. Many glycosyltransferase (GT) families, including GT47, are involved in the production of both types of polysaccharides. However, a comprehensive study related to the GT47 gene family is needed. The glycosyltransferase (GT) [...] Read more.
Sorghum is an essential crop for biofuel. Many glycosyltransferase (GT) families, including GT47, are involved in the production of both types of polysaccharides. However, a comprehensive study related to the GT47 gene family is needed. The glycosyltransferase (GT) 47 family helps in the synthesis of xylose, pectin, and xyloglucan and plays an essential role in the formation of the proper shape of the plant cell wall. In this study, we performed identification, phylogenetic tree, physiochemical properties, subcellular localization, protein–protein interaction network, detection of motif analysis, gene structure, secondary structure, functional domain, gene duplication, Cis-acting elements, sequence logos, and gene expression profiles based on RNA-sequence analyses in the GT47 gene family. As a result, we identified thirty-one members of the GT47 gene family. The phylogenetic analysis grouped them into three distinct clusters. According to their physiochemical properties, all GT47 proteins were hydrophilic, and their molecular weights ranged from 22.7 to 88.6 kDa. Three essential motifs were identified via motif and conserved domain analysis, emphasizing structural conservation. Subcellular localization was proposed for the various functional roles across cellular compartments. While gene structure analysis showed significant variation in introns–exons, promoter study verified susceptibility to phytohormones like ABA. RNA sequencing revealed that several GT47 genes were highly expressed in internodes, and this was linked to biomass accumulation, cell wall manufacturing, and stem elongation. Analysis of networks of protein–protein interactions and Cis-elements confirmed involvement in stress adaptation and growth regulation. These results contribute to a better understanding of the functional and evolutionary significance of the GT47 gene family in sorghum. Full article
(This article belongs to the Section Biological Processes and Systems)
19 pages, 4295 KiB  
Article
Technological Research on Preparation of Alkyl Polyglycoside by High-Gravity Impinging Stream-Rotating Packed Bed
by Zhongyu Zeng, Guisheng Qi, Yujin Guo, Ning Li, Shuwei Guo, Qiang Guo and Youzhi Liu
Processes 2025, 13(3), 627; https://doi.org/10.3390/pr13030627 (registering DOI) - 22 Feb 2025
Viewed by 150
Abstract
This manuscript introduces a new method of preparing alkyl polyglycoside, using n-decyl alcohol and glucose as raw materials, and using the high-gravity impact flow rotating packed bed (IS-RPB) as equipment to prepare alkyl polyglycoside by a direct glycoside process, focusing on solving the [...] Read more.
This manuscript introduces a new method of preparing alkyl polyglycoside, using n-decyl alcohol and glucose as raw materials, and using the high-gravity impact flow rotating packed bed (IS-RPB) as equipment to prepare alkyl polyglycoside by a direct glycoside process, focusing on solving the problems related to glucose’s easy agglutination and high cost during the preparation of alkyl polyglycoside. The effects of impact times, temperature and molar ratio of n-decyl alcohol on glucose-on-glucose conversion were investigated. The results show that the new preparation method can achieve a glucose conversion rate of more than 70%, the molar ratio of n-decyl alcohol to glucose can be reduced to 2:1, the reaction can still be carried out below 90 °C, and the glucose conversion rate can reach more than 90% after subsequent reprocessing. The product was identified as the target alkyl polyglycoside through infrared spectroscopy analysis. The critical micelle concentration of the product’s aqueous solution was determined to be 5 g/L, with a corresponding surface tension of 25.42 mN/m. Its HLB was calculated at 16.26, categorizing it as an O/W-type emulsifier characterized by excellent foaming properties and producing a rich, fine foam. Moreover, the product demonstrates favorable emulsifying and detergency capabilities. Full article
(This article belongs to the Section Materials Processes)
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18 pages, 4360 KiB  
Article
Comparison of Hydraulic Measures for Improving Coal Seam Permeability: A Case Study
by Yuxi Huang, Xiaoyang Cheng and Huan Zhang
Processes 2025, 13(3), 626; https://doi.org/10.3390/pr13030626 (registering DOI) - 22 Feb 2025
Viewed by 175
Abstract
Hydraulic measures are widely used to improve coal seam permeability, but not all hydraulic measures have a positive effect on coal permeability in soft coal seams, and the permeability-enhancing effect of hydraulic measures in soft coal seams is not clear. To further study [...] Read more.
Hydraulic measures are widely used to improve coal seam permeability, but not all hydraulic measures have a positive effect on coal permeability in soft coal seams, and the permeability-enhancing effect of hydraulic measures in soft coal seams is not clear. To further study the permeability-enhancing mechanism of hydraulic measures and compare the effect of hydraulic punching and reaming in soft coal seams, this study takes Changping Mine, China, as its case study. A comparative analysis was conducted on the influence range and gas extraction effect of hydraulic reaming and punching on coal seam permeability enhancement. The following conclusions were mainly drawn: A mathematical calculation model was established for the strength and impact velocity of high-pressure water jet damage to the coal body, and the critical theoretical pressure threshold and jet velocity were obtained. During the implementation of hydraulic measures at the Changping Mine, the effective radius of hydraulic reaming is around 4.5 m, and the influence radius of hydraulic reaming is approximately 7.5 m; the effective radius of hydraulic punching is about 6.5 m, and the influence radius of hydraulic punching is approximately 7–9 m. The gas data from field monitoring show that hydraulic measures have significantly improved the extraction gas concentration and purity, and hydraulic punching has a more significant effect on enhancing permeability in soft coal seams. Full article
(This article belongs to the Topic Advances in Coal Mine Disaster Prevention Technology)
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16 pages, 2008 KiB  
Article
Effect of Spirulina Microalgae Powder in Gluten-Free Biscuits and Snacks Formulated with Quinoa Flour
by Ahmed M. S. Hussein, Sayed Mostafa, Shymaa M. Ata, Nefisa A. Hegazy, Ibrahim M. Abu-Reidah and Ahmed A. Zaky
Processes 2025, 13(3), 625; https://doi.org/10.3390/pr13030625 (registering DOI) - 22 Feb 2025
Viewed by 213
Abstract
This study evaluated the effects of incorporating spirulina algae powder (SAP) at 3%, 6%, and 9% into quinoa flour (QF) blends to produce gluten-free biscuits and snacks, compared to a 100% QF control. The chemical composition, mineral and amino acid content, antioxidant capacity, [...] Read more.
This study evaluated the effects of incorporating spirulina algae powder (SAP) at 3%, 6%, and 9% into quinoa flour (QF) blends to produce gluten-free biscuits and snacks, compared to a 100% QF control. The chemical composition, mineral and amino acid content, antioxidant capacity, starch gelatinization, color, baking quality, sensory properties, and texture were analyzed. SAP was found to have high protein (62.50%), fat (5.92%), and ash (12.90%) content. Increasing the SAP concentration in QF blends resulted in a dose-dependent enhancement in the nutritional value of the biscuits and snacks. Farinograph analysis indicated a positive relationship between SAP percentage and water absorption. The inclusion of SAP significantly altered differential scanning calorimetry (DSC) and viscoamylograph parameters. Biscuit weight, volume, and specific volume decreased with increasing SAP levels. Hunter color measurements showed a SAP concentration-dependent darkening effect, which was supported by sensory assessments. The 9% SAP biscuits and snacks exhibited the greatest antioxidant activity, with DPPH values of 50.18 and 43.6 µmol/g, respectively, and reducing power values of 41.49 and 36.58 µmol/g, respectively. Overall, while all samples were deemed acceptable, the 3% and 6% SAP formulations generally demonstrated better sensory characteristics and improved nutritional profiles, suggesting their potential as suitable options for individuals with gluten sensitivities. Full article
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16 pages, 8842 KiB  
Article
Structure and Selected Properties of Si(C,N) Coatings on Ni-Cr Prosthetic Alloys
by Zofia Kula, Katarzyna Dąbrowska and Leszek Klimek
Processes 2025, 13(3), 624; https://doi.org/10.3390/pr13030624 (registering DOI) - 22 Feb 2025
Viewed by 101
Abstract
Metal alloys continue to be, and are expected to remain, essential materials for fabricating prosthetic elements due to their unique properties, particularly their high strength, durability, and appropriate modulus of elasticity, which make them well-suited for such applications. However, commonly used non-precious metal [...] Read more.
Metal alloys continue to be, and are expected to remain, essential materials for fabricating prosthetic elements due to their unique properties, particularly their high strength, durability, and appropriate modulus of elasticity, which make them well-suited for such applications. However, commonly used non-precious metal alloys exhibit lower corrosion resistance compared to precious metal alloys. This reduced resistance leads to the release of metal ions from the alloy into the oral environment. Adverse biological responses to metal alloys can be mitigated through various surface modifications, most commonly by applying coatings. These coatings are typically ceramic, including oxides, nitrides, and carbides. In this study, the mechanical properties (hardness, modulus of elasticity, adhesion, and thickness) of complex Si(C,N) coatings applied to a prosthetic Ni-Cr alloy were investigated. Depending on the proportions of N, C, and Si in the coating, the hardness ranged from 12 to 15 GPa, while the modulus of elasticity varied between 130 and 170 GPa. Adhesion strength, measured via the scratch test method, was within an acceptable range. Microscopic analysis revealed that the coatings had a thickness of 2 to 2.5 μm, exhibiting a homogeneous, columnar structure. In conclusion, the properties of the fabricated Si(C,N) coatings are deemed satisfactory for their intended use as protective layers for prosthetic and orthodontic components. Full article
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15 pages, 1802 KiB  
Article
Bifunctional Electrocatalysts for Alkaline Water Electrolysis Derived from Metal-Containing Ionic Liquids
by Jelena Georgijević, Nikola Zdolšek, Milica Vasić, Jadranka Milikić, Milan Vraneš, Dragana Jugović, Diogo M. F. Santos and Biljana Šljukić
Processes 2025, 13(3), 623; https://doi.org/10.3390/pr13030623 (registering DOI) - 22 Feb 2025
Viewed by 268
Abstract
Carbon-based electrocatalysts decorated with Pt and Ni nanoparticles were introduced herein to increase the efficiency of the water splitting process and thus reduce the price of the produced green hydrogen. The materials were prepared by innovative direct carbonization of ionic liquids containing the [...] Read more.
Carbon-based electrocatalysts decorated with Pt and Ni nanoparticles were introduced herein to increase the efficiency of the water splitting process and thus reduce the price of the produced green hydrogen. The materials were prepared by innovative direct carbonization of ionic liquids containing the corresponding metal, thereby eliminating the need for additional solutions and templates. The structural integrity of the materials was validated through X-ray diffraction analysis and Fourier-transform infrared spectroscopy. The electrochemical performance of these materials in catalyzing hydrogen (HER) and oxygen (OER) evolution reactions was evaluated using voltammetry and electrochemical impedance spectroscopy, uncovering distinct behaviors and highlighting the role of ionic liquid in tailoring materials’ properties and performance. Specifically, the presence of Ni was observed to enhance the catalytic performance towards the HERs due to the interaction of Ni nanoparticles and a higher amount of sp2-hybridized carbon present. In contrast, incorporating Pt into the carbon matrix was found to augment the catalytic activity for OERs with a Tafel slope of 129 mV dec−1 and a current density of 10 mA cm−2 reached at a potential of 1.67 V. Moreover, chronoamperometric measurements evidenced materials’ steady performance under both HER and OER conditions. These findings of good activity and stability showed that the introduced approach of synthesis of carbon electrocatalysts decorated with heteroatoms by direct carbonization of ionic liquids holds great promise for the synthesis of efficient and affordable electrocatalysts for green hydrogen production. Full article
(This article belongs to the Special Issue Advances in Electrocatalysts for the OER, HER and Biomass Conversion)
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21 pages, 1873 KiB  
Article
Study on the Improvement of Temperature Resistance of Starch Drilling Fluid Treatment Agent by Composite Plant Phenols
by Huaizhu Liu, Kangning Zhao, Qingchen Wang, Huafeng Ni, Fan Zhang, Le Xue, Quande Wang and Gang Chen
Processes 2025, 13(3), 622; https://doi.org/10.3390/pr13030622 (registering DOI) - 22 Feb 2025
Viewed by 284
Abstract
Modified starch and other natural polymer materials have found extensive applications in drilling fluids. However, conventional modification methods offer limited scope for further enhancing their temperature resistance, typically with the applicable temperature being below 140 °C. This paper presents the preparation of composite [...] Read more.
Modified starch and other natural polymer materials have found extensive applications in drilling fluids. However, conventional modification methods offer limited scope for further enhancing their temperature resistance, typically with the applicable temperature being below 140 °C. This paper presents the preparation of composite plant phenols using walnut shells, peanut shells, straw, and lignin, which are rich in the fundamental “three elements” of plants. To explore the improvement of the temperature resistance of cellulose-based drilling fluid additives, this study investigated the apparent viscosity, dynamic shear force, filtration performance, and adhesion coefficient of water-based drilling fluids supplemented with composite plant phenols. Additionally, the mechanism of action of the composite in drilling fluids was analyzed via infrared spectroscopy. The results revealed that the combined use of starch and composite plant phenols elevated the temperature resistance limit of starch from 160 °C to 180 °C. After aging at 180 °C, the filtration loss of the drilling fluid formulation containing composite plant phenols dropped to 3.6 mL, while the apparent viscosity climbed from 3.1 mPa·s to 13.6 mPa·s. This clearly demonstrates the excellent high-temperature resistance and filtration-reducing capabilities of composite plant phenols. When the addition of cassava starch was 2%, the filtration loss of the drilling fluid system reached a minimum of 6.2 mL. A positively charged gel was identified as the optimal high-temperature-resistant cutting agent. At a dosage of 1%, the dynamic plastic ratio of the formulation increased from 0.51 to 2.11. Tannin extract emerged as the ideal high-temperature-resistant and environmentally friendly drilling fluid treatment agent. After its addition, the apparent viscosity of the drilling fluid system increased from 2.4 mPa·s to 7.3 mPa·s, and the filtration loss decreased from 140 mL to 14.6 mL. Full article
(This article belongs to the Section Environmental and Green Processes)
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12 pages, 1932 KiB  
Article
The Development and Validation of a Novel HPLC-DAD Method for the Quantification of Icaridin in Insect Repellent Formulations
by Fernanda Fernandes Farias, Maria Cristina Santa Bárbara, Valéria Adriana Pereira Martins, Mariana Sbaraglini Garcia Silva, Vanessa Cristina Martins Silva, Newton Andreo-Filho, Patricia Santos Lopes and Vânia Rodrigues Leite-Silva
Processes 2025, 13(3), 621; https://doi.org/10.3390/pr13030621 (registering DOI) - 22 Feb 2025
Viewed by 243
Abstract
The quality control of insect repellents contributes to the population’s health since these products prevent mosquito bites and vector-borne diseases. In this study, we developed and validated a novel analytical method using high-performance liquid chromatography with a diode array detector (HPLC-DAD) for the [...] Read more.
The quality control of insect repellents contributes to the population’s health since these products prevent mosquito bites and vector-borne diseases. In this study, we developed and validated a novel analytical method using high-performance liquid chromatography with a diode array detector (HPLC-DAD) for the quantification of icaridin in insect repellent lotions. The analysis was performed on a phenyl chromatographic column 150 × 4.6 mm, 3.5 μm and stabilized at 30 °C. The detection of icaridin was achieved at 4.5 min with a 20 μL injection volume of the samples. The active ingredient was extracted from the lotion samples with isopropanol and water (50:50 v/v) and then diluted to the working concentration at 0.6 mg/mL with the mobile phase. The calibration curve was linear in the concentration range of 0.1 to 1.2 mg/mL. The method was robust, specific and precise (relative standard deviations—RSD < 2%). The accuracy of the method was demonstrated by icaridin recovery. The limit of detection and quantification were 0.03 mg/mL and 0.1 mg/mL, respectively. The present report puts forward a novel analytical method for the quantification of icaridin, contributing to improving the quality control and efficacy of marketed formulations and their different presentations such as lotions, gels and sprays, demonstrating its good applicability. Full article
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24 pages, 8640 KiB  
Article
Numerical Study of Influence of Nanofluids on the Optimization of Heat Transfer in Immersion Cooling Systems
by Abdelilah Makaoui, Youssef Admi, Mohammed Amine Moussaoui and Ahmed Mezrhab
Processes 2025, 13(3), 620; https://doi.org/10.3390/pr13030620 - 21 Feb 2025
Viewed by 339
Abstract
The present study evaluates the heat transfer performance of an immersion liquid cooling system, utilizing copper-water (Cu-water) nanofluids under various flow and geometric conditions, including different Reynolds and Rayleigh numbers, nanoparticle volume fractions, and block spacing configurations. To this end, numerical simulations were [...] Read more.
The present study evaluates the heat transfer performance of an immersion liquid cooling system, utilizing copper-water (Cu-water) nanofluids under various flow and geometric conditions, including different Reynolds and Rayleigh numbers, nanoparticle volume fractions, and block spacing configurations. To this end, numerical simulations were conducted to assess the impact of these parameters on the system’s temperature distribution and overall cooling efficiency. The findings indicate that augmenting the Reynolds number from 100 to 500, and the nanoparticle volume fraction from 0% to 5%, at a Rayleigh number of 105, results in substantial enhancements in heat transfer, with improvements reaching up to 193.8%. Furthermore, an increase in the Rayleigh number from 103 to 106, in conjunction with elevated nanoparticle concentrations at a Reynolds number of 500, yielded a heat transfer enhancement of up to 36.3%. These findings demonstrate that higher Reynolds and Rayleigh numbers promote better heat dissipation through increased convective flow and buoyancy-driven convection. Furthermore, the study underscores the pivotal function of block spacing in maximizing cooling efficacy. While closer spacing results in higher temperatures, wider spacing improves heat transfer efficiency by reducing thermal interference between blocks. The study emphasizes the synergistic effect of an enhanced thermal conductivity, strong convective flow, and optimal geometric configurations in maximizing cooling efficiency. These findings are of crucial importance for the design of more efficient thermal management systems, with applications in electronics cooling, energy systems, and industrial processes. Full article
(This article belongs to the Special Issue Applications of Nanofluids and Nano-PCMs in Heat Transfer)
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26 pages, 15731 KiB  
Article
Experimental and CFD-Integrated Investigation into the Intricate Oil–Water Two-Phase Flow Dynamics Within Blind Tees: Uncovering Flow Behaviors for Advanced Process Engineering Applications
by Chen Cheng, Qingming Gan, Yubin Su, Yang Cheng and You Zhang
Processes 2025, 13(3), 619; https://doi.org/10.3390/pr13030619 - 21 Feb 2025
Viewed by 311
Abstract
Blind tees are widely used in offshore oil systems. To enhance their rectification performance, an indoor experimental platform was established to study the flow field behavior within blind tees and bend pipes. Fluent2021 analyzed the significant effects of various structural parameters and operating [...] Read more.
Blind tees are widely used in offshore oil systems. To enhance their rectification performance, an indoor experimental platform was established to study the flow field behavior within blind tees and bend pipes. Fluent2021 analyzed the significant effects of various structural parameters and operating conditions on the oil–water rectification performance of blind tees. The study evaluates the device’s effectiveness by establishing a rectification coefficient S, investigating the impacts of blind end length, vertical pipe diameter, inlet flow velocity, and inlet oil content. Results indicate that internal vortices within the blind tee primarily cause disturbances leading to uniform distribution of oil–water phases. The size and intensity of the vortices determine the oil–water rectification efficiency of the blind tee. Blind tees of different lengths correspond to a specific velocity at which the blind end becomes filled with vortices, causing fluid stagnation. This velocity is defined as the blind end closure velocity. Avoiding this closure velocity, shorter blind ends, smaller vertical pipe diameters, and higher inlet velocities significantly enhance the oil–water flow straightening effectiveness. The rectification efficiency of the blind tee was improved by up to76.68% compared to the bend. Full article
(This article belongs to the Special Issue Recent Advances in Hydrocarbon Production Processes from Geoenergy)
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21 pages, 5536 KiB  
Article
Insights into Enhanced Oil Recovery by Viscosity Reduction Combination Flooding System for Conventional Heavy Oil Reservoir
by Hong He, Wenhui Ning, Haihua Pei, Ruping Chen, Yuhang Tian, Yibo Liu and Qingying Zuo
Processes 2025, 13(3), 618; https://doi.org/10.3390/pr13030618 - 21 Feb 2025
Viewed by 284
Abstract
To settle the problems of high energy consumption and carbon emissions in the thermal recovery of heavy oil, the viscosity reduction combination flooding (V-RCF) method is proposed to enhance oil recovery for conventional heavy oil reservoirs. The performance of the viscosity reduction combination [...] Read more.
To settle the problems of high energy consumption and carbon emissions in the thermal recovery of heavy oil, the viscosity reduction combination flooding (V-RCF) method is proposed to enhance oil recovery for conventional heavy oil reservoirs. The performance of the viscosity reduction combination flooding (V-RCF) system composed of polymer, emulsifying surfactant, and ultra-low interfacial tension surfactant was evaluated. The interfacial tension between oil and water continues to be maintained at 10−3 mN/m as the concentration of ultra-low interfacial tension surfactant(L) increases. The viscosity reduction rate of the V-RCF system reaches over 95%. A series of parallel sand pack flooding experiments were carried out to investigate enhanced oil recovery. The enhanced oil recovery (EOR) efficiency of the V-RCF under various injection modes was compared, and the best injection mode was suggested. The incremental oil recovery of the V-RCF system under multiple slug injection modes is higher than that under single slug injection mode. The optimum slug injection sequence of the V-RCF system is injecting a polymer-emulsifying surfactant(P+R) slug firstly, and then, injecting a polymer-ultra-low interfacial tension surfactant(P+L) slug. The optimum slug size ratio of polymer-emulsifying surfactant(P+R) slug and polymer-ultra-low interfacial tension surfactant(P+L) slug is 2:1. The microfluidic flooding results have further confirmed that the best recovery rate is achieved when the slug ratio is 2:1 from a microscopic perspective. Full article
(This article belongs to the Special Issue Advanced Strategies in Enhanced Oil Recovery: Theory and Technology)
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18 pages, 6921 KiB  
Article
Chitosan Nanoparticulate System Loaded with Cannabidiol: A Topical Formulation for Potential Alopecia Management
by Josenildo R. Oliveira, Débora S. Lopes, Milena C. S. Barbosa, Henrique N. Silva, Marcus V. L. Fook, Suédina M. L. Silva, João M. P. Q. Delgado and Antonio G. B. Lima
Processes 2025, 13(3), 617; https://doi.org/10.3390/pr13030617 - 21 Feb 2025
Viewed by 122
Abstract
This study explores an innovative topical formulation to treat alopecia by encapsulating cannabidiol (CBD) in chitosan nanoparticles. CBD, widely known for its anti-inflammatory, antioxidant, and endocannabinoid-modulating effects, shows significant potential for treating alopecia, a condition characterized by hair loss influenced by genetic, hormonal, [...] Read more.
This study explores an innovative topical formulation to treat alopecia by encapsulating cannabidiol (CBD) in chitosan nanoparticles. CBD, widely known for its anti-inflammatory, antioxidant, and endocannabinoid-modulating effects, shows significant potential for treating alopecia, a condition characterized by hair loss influenced by genetic, hormonal, or environmental factors. However, its low water solubility presents a significant challenge for topical applications. To address this issue, chitosan nanoparticles were synthesized using chitosan of reduced molecular mass (270 kDa) with an acetylation level of 12%, β-glycerophosphate as a crosslinking agent, and 1% glycerol to improve CBD encapsulation efficiency. Physicochemical characterization using scanning electron microscopy (SEM), zeta potential measurement, and Fourier transform infrared spectroscopy (FTIR) revealed that the β-glycerophosphate concentration impacted nanoparticle size and the electrostatic interactions between chitosan’s primary amines and phosphate groups of β-glycerophosphate. Among the tested concentrations (0.05, 0.1, 0.2, and 0.25 mol/L), 0.20 mol/L produced the smallest nanoparticles (390 nm), which were further optimized to encapsulate CBD, reaching a particle size of 227 nm. This optimized formulation may improve the solubility of CBD and enable targeted and sustained delivery to hair follicles. These findings highlight chitosan nanoparticles as a cutting-edge and scalable platform for transdermal delivery of hydrophobic bioactive compounds, presenting a promising approach for the effective management of alopecia. Full article
(This article belongs to the Special Issue Development and Characterization of Advanced Polymer Nanocomposites)
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20 pages, 4403 KiB  
Article
Pressure Relief-Type Overpressure Prediction in Sand Body Based on BP Neural Network
by Yanfang Gao, Yanchao Li, Hongyan Yu, Shijie Shen, Zupeng Chen, Dengke Li, Xuelin Liang and Zhi Huang
Processes 2025, 13(3), 616; https://doi.org/10.3390/pr13030616 - 21 Feb 2025
Viewed by 123
Abstract
With the gradual depletion of global oil and gas resources, accurate prediction of anomaly formation pressure caused by pressure relief from other sources has become increasingly crucial in oil and gas exploration and development. The anomaly formation pressure caused by pressure relief affects [...] Read more.
With the gradual depletion of global oil and gas resources, accurate prediction of anomaly formation pressure caused by pressure relief from other sources has become increasingly crucial in oil and gas exploration and development. The anomaly formation pressure caused by pressure relief affects the well’s stability and significantly impacts the safety and economy of drilling operations. However, traditional methods for predicting anomaly formation pressure, such as Bowers’ method, may not accurately identify the complex relationship between parameters and pore pressure. In contrast, the BP neural network (BPNN) can learn the complex relationship between input and output from data, which has a significant advantage in accurately identifying anomaly formation pressures caused by pressure relief from other sources. This study proposes a neural network-based method for accurately predicting anomaly formation pressure caused by pressure relief from other sources. The high quality of input data is ensured through meticulous preprocessing related to anomaly formation pressure caused by pressure relief from other sources, including data cleaning, standardization, and correlation analysis. Subsequently, model training was conducted to fully utilize its powerful nonlinear fitting ability and capture the complex changes in formation pressure caused by anomaly pressure relief from other sources. This method collects and organizes the parameters of the formation, including Gamma-ray (Gr), Delta-T (Dt), wave velocity (Vp), and Resistivity (R10), to train a BPNN model for predicting pressure relief type anomaly formations. The trained model has a Bayesian regularized backpropagation function, and the average absolute percentage error (AAPE) and correlation coefficient (R) of predicting pore pressure in well A are 4.22% and 0.875, respectively. To verify the proposed model’s effectiveness, it was applied to a blind dataset of adjacent B wells and successfully predicted pore pressure with AAPE of 5.44% and R of 0.864. We compare and analyze the formation pore pressure predicted by the traditional Bowers model and support vector machine (SVM) model. The prediction results of the BPNN model have more minor errors and are closer to the actual pressure coefficient. This study demonstrates the accuracy of the proposed model in predicting pressure relief type anomaly formation pressure using drilling data. Full article
(This article belongs to the Section Energy Systems)
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19 pages, 3135 KiB  
Article
Extraction and Characterization of High-Value Compounds from Yarrowia lipolytica W29 Using Sequential Hydrolysis
by Rhonyele Maciel da Silva, Cristiane Nunes da Silva, Célio Santos de Faria-Júnior, Filipe Smith Buarque, Bernardo Dias Ribeiro, Ailton Cesar Lemes and Maria Alice Zarur Coelho
Processes 2025, 13(3), 615; https://doi.org/10.3390/pr13030615 (registering DOI) - 21 Feb 2025
Viewed by 93
Abstract
Yeast biomass, a by-product of various industrial processes, is a sustainable source of food ingredients. Despite its nutritional richness, studies on Yarrowia lipolytica W29 biomass for high-value compound production using low-cost substrates like glycerol and glucose remain limited. These substrates enhance productivity and [...] Read more.
Yeast biomass, a by-product of various industrial processes, is a sustainable source of food ingredients. Despite its nutritional richness, studies on Yarrowia lipolytica W29 biomass for high-value compound production using low-cost substrates like glycerol and glucose remain limited. These substrates enhance productivity and modulate cell wall composition. Extracting these compounds is complex but can be optimized through sequential hydrolysis, including autolysis and acid hydrolysis. In this study, mannoprotein exhibited a 60% emulsification index, 40 mN m−1 surface tension for both substrates, and thermal stability with a mass retention above 30%. Acid hydrolysis yielded bioactive peptides (<1 kDa) with the highest antioxidant activity: 220 µM Trolox (ABTS), 270 µM Trolox (DPPH), and 125 µM ascorbic acid (FRAP). The raw biomass and feed ingredient (dry residue) provided 100% and 90% of the daily protein intake, respectively, with a β-glucan content of 17%. Glycerol and glucose resulted in similar high-value compounds, highlighting glycerol as a cost-effective carbon source. Thus, sequential hydrolysis is an effective strategy for extracting compounds from Y. lipolytica W29 biomass, offering a promising alternative for industrial applications due to its high nutritional value and functional properties. Full article
(This article belongs to the Section Separation Processes)
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15 pages, 5907 KiB  
Article
Markov-Chain-Based Statistic Model for Predicting Particle Movement in Circulating Fluidized Bed Risers
by Yaming Zhuang
Processes 2025, 13(3), 614; https://doi.org/10.3390/pr13030614 - 21 Feb 2025
Viewed by 215
Abstract
To increase the calculation speed of the computational fluid dynamics (CFD)-based simulation for the gas–solid flow in fluidized beds, a Markov chain model (MCM) was developed to simulate the particle movement in a two-dimensional (2D) circulating fluidized bed (CFB) riser. As a statistic [...] Read more.
To increase the calculation speed of the computational fluid dynamics (CFD)-based simulation for the gas–solid flow in fluidized beds, a Markov chain model (MCM) was developed to simulate the particle movement in a two-dimensional (2D) circulating fluidized bed (CFB) riser. As a statistic model, the MCM takes the results obtained from a CFD–discrete element method (DEM) as samples for calculating transition probability matrixes of particle movement. The transition probability matrixes can be directly used to describe the macroscopic regularities of particle movement and further used to simulate the particle motion combined with the Monte Carlo method. Particle distribution snapshots, residence time distribution (RTD), and mixing obtained from both MCM and CFD-DEM are compared. The results indicate that the MCM offers a computational speed that is approximately 100 times faster than that of the CFD-DEM. The discrepancy in the mean particle residence time, as computed by the two models, is under 2%. Furthermore, the MCM provides an accurate depiction of time-averaged particle motion. In sum, the MCM can well describe the time-averaged particle mixing compared to the CFD-DEM. Full article
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19 pages, 18180 KiB  
Article
Analysis of Crushing Performance of Toothed Double-Roll Crusher for Coal Particle Based on Discrete Element Method
by Zeren Chen, Guoqiang Wang, Zhengjie Lei, Duomei Xue and Zhengbin Liu
Processes 2025, 13(3), 613; https://doi.org/10.3390/pr13030613 - 21 Feb 2025
Viewed by 210
Abstract
The large toothed double-roll crusher, as key crushing equipment for open pit mines, is very necessary to analyse its crushing performance at different feed particle sizes, compressive strengths of coal, and rotation speeds of toothed rollers. Firstly, a toothed double-roll crusher is taken [...] Read more.
The large toothed double-roll crusher, as key crushing equipment for open pit mines, is very necessary to analyse its crushing performance at different feed particle sizes, compressive strengths of coal, and rotation speeds of toothed rollers. Firstly, a toothed double-roll crusher is taken as the research object in this paper; the coupling simulation model of the toothed double-roll crusher based on the DEM-MBD and Ab-T10 breakage model is constructed. The validity of the coupling simulation model is verified through the actual measurement data. On this basis, the crushing performance under variable factors is analysed by integrating comprehensive tests. The results show that the rotation speed of the toothed roller is the main influence factor on the crushing performance of the toothed double-roll crusher when it works at 25~33.3 r/min. With the increase in compressive strength of coal, the productivity decreases, and this phenomenon disappears gradually at 33.3~42 r/min. Further, a 5–20% increase in the large size of the coal particles can improve 10% crushing quality with a discharge size lower than 300 mm and approximately 25% productivity of the toothed double-roll crusher. Finally, the power density is reduced as the mass percentage of large-sized coal particles increases, and this phenomenon is weakened with the increase in the compressive strength of coal. Full article
(This article belongs to the Section Manufacturing Processes and Systems)
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24 pages, 6641 KiB  
Article
Optimal Dispatching Rules for Peak Shaving of Cascaded Hydropower Stations in Response to Large-Scale New Energy Integration
by Zhanxing Xu, Qiang Liu, Lingjun Xu, Li Mo, Yongchuan Zhang and Xin Zhang
Processes 2025, 13(3), 612; https://doi.org/10.3390/pr13030612 - 21 Feb 2025
Viewed by 139
Abstract
Fully tapping into the load regulation capacity of cascade hydropower stations on a river, in coordination with wind and photovoltaic power stations, can effectively suppress power fluctuations in new energy and promote grid integration and the consumption of new energy. To derive the [...] Read more.
Fully tapping into the load regulation capacity of cascade hydropower stations on a river, in coordination with wind and photovoltaic power stations, can effectively suppress power fluctuations in new energy and promote grid integration and the consumption of new energy. To derive the peak shaving dispatching rules for cascaded hydropower stations in provincial power systems with a high proportion of new energy integration, a short-term peak shaving dispatching model for cascaded hydropower stations was first established considering large-scale new energy consumption; secondly, based on statistical learning methods, the peak shaving and dispatching rules of cascade hydropower stations in response to large-scale new energy integration were derived. Finally, taking wind farms, photovoltaic power stations, and the Qingjiang cascade hydropower stations in the power grid of Hubei Province, China, as research objects, the compensation effect of Qingjiang cascade hydropower stations on new energy output and the peak shaving performance for the power grid load were verified. The research results indicate that cascade hydropower can effectively reduce the peak valley load difference in provincial power grids and improve the overall smoothness of power grid loads while suppressing fluctuations in new energy output. After peak regulation by cascade hydropower, the residual load fluctuation indices of the power grid are improved by more than 20% compared to those after the integration of new energy. The probabilistic dispatching decisions for the facing period’s output through the optimal dispatching rules of cascade hydropower stations can provide dispatchers with richer decision-making support information and have guiding significance for the actual peak shaving dispatch of cascade hydropower stations. Full article
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20 pages, 10090 KiB  
Article
A Novel P + d Control Scheme for Time-Delayed Telerobotic Systems with Damping Adjustment
by Lei Xi, Haochen Zhang, Jianrong Liu, Wenxu Zhang and Yangming Fan
Processes 2025, 13(3), 611; https://doi.org/10.3390/pr13030611 - 21 Feb 2025
Viewed by 218
Abstract
This paper presents a novel Proportional Damping Injection (P + d) control scheme that incorporates a damping regulation strategy and an adaptive method for networked telerobotic systems. Unlike the traditional P + d controller with a fixed damping coefficient, the proposed approach includes [...] Read more.
This paper presents a novel Proportional Damping Injection (P + d) control scheme that incorporates a damping regulation strategy and an adaptive method for networked telerobotic systems. Unlike the traditional P + d controller with a fixed damping coefficient, the proposed approach includes a dynamic damping adjuster, designed based on position error, to enhance the position tracking speed and improve the system robustness. To address uncertainties in dynamic models and external forces, Radial Basis Function (RBF) neural networks and an adaptive strategy are employed for dynamic estimation. The closed-loop stability of the teleoperation system was rigorously established using the Lyapunov–Krasovskii method, and the relationship between the controller gains and communication delay boundaries was explicitly derived. Finally, simulations and experimental results validated the system’s stability and effectiveness, demonstrating the advantages of the proposed controller. Full article
(This article belongs to the Special Issue Modeling and Simulation of Robot Intelligent Control System)
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