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Int. J. Productivity and Quality Management, Vol. 6, No. 3, 2010 ... An empirical study of the motives and benefits of QMS/ISO implementation among Indian SMEs ... Mechanical Engineering Dept., Vishwakarama Institute of Information Tech.,... more
Int. J. Productivity and Quality Management, Vol. 6, No. 3, 2010 ... An empirical study of the motives and benefits of QMS/ISO implementation among Indian SMEs ... Mechanical Engineering Dept., Vishwakarama Institute of Information Tech., Kondhwa (Bk), Pune 411048, ...
PurposeThe purpose of this paper is to carry out a reliability analysis of a mechanical system considering the degraded states to get a proper understanding of system behavior and its propagation towards complete... more
PurposeThe purpose of this paper is to carry out a reliability analysis of a mechanical system considering the degraded states to get a proper understanding of system behavior and its propagation towards complete failure.Design/methodology/approachThe reliability analysis of computerized numerical control machine tools (CNCMTs) using a multi-state system (MSS) approach that considers various degraded states rather than a binary approach is carried out. The failures of the CNCMT are classified into five states: one fully operational state, three degraded states and one failed state.FindingsThe analysis of failure data collected from the field and tests conducted in the laboratory provided detailed understandings about the quality of the material and its failure behavior used in designing and the capability of the manufacturing system. The present work identified that Class II (major failure) is critical from a maintainability perspective whereas Class III (moderate failure) and Class...
The analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some... more
The analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some vibration parameters to characterize the distributed defects in the bearing, RMS, Peak and peak to peak which are used in the detection defects in the bearing. These parameters are measured at various load and speeds with simulated defect on bearing parts. This paper also shows the sensitivity of kurtosis in condition monitoring of ball bearing. It has been shown that vibration based monitoring is an effective method for detecting the faults in the bearing.
With the rapid growth of modern technology, maintenance contributes significantly vitalfunction in many industries. The objectives of maintenance-related decision-making process will lead to select and use various condition monitoring... more
With the rapid growth of modern technology, maintenance contributes significantly vitalfunction in many industries. The objectives of maintenance-related decision-making process will lead to select and use various condition monitoring techniques for different industrial applications. It is evident from the published literature that, effective use of ISO standards in isolation is very well documented, but after knowing the importance of the use of integrated condition-based maintenance (ICBM) strategy, it will be more important to know how interoperability of international standards, company standards, standard guidelines, and recent research models/recommendations will help to implement ICBM strategy more effectively.These paper overview relevant international standards related to condition monitoring &diagnosis of selected machines used in power generation and highlights case of how concept of interoperability of standards defined at different levels helpedtoselect suitable mainten...
Performance evaluation of the turbine-generator subsystem in a sub-critical power plant is presented.  The major selected systems considered for the study are turbine governing, turbine lubrication, generator oil system, generator gas... more
Performance evaluation of the turbine-generator subsystem in a sub-critical power plant is presented.  The major selected systems considered for the study are turbine governing, turbine lubrication, generator oil system, generator gas system, and generator excitation system. The availability simulation model is developed and solved using Laplace transformation techniques which arereported in this study. The transition diagram of the proposed model represented several states with full working capacity, reduced capacity, and failed state. The Markov based results revealed that the turbine lubrication and generator excitation subsystems are affected the system availability at most. Therefore these critical subsystems are on higher priority from a maintenance perspective.
This paper incorporates the fusion-updating process in an optimization technique by solving NP hard problems. Here, the process of scheduling jobs and machines in a sequential order is made to attain in a minimized makespan time. The... more
This paper incorporates the fusion-updating process in an optimization technique by solving NP hard problems. Here, the process of scheduling jobs and machines in a sequential order is made to attain in a minimized makespan time. The proposed methodology manipulates couple of conventional optimization technique Social Spider Optimization (SSO) and Grey Wolf Optimization (GWO) by fusing method. This fusion takes part in updating process in the optimization. Solving job shop scheduling, problem manually takes enormous time to reveal settling result; instead, solving with met heuristics technique will certainly conserve the time consumption in manipulating. The proposed hybrid (SSOGWO) reveals superior result (minimized makespan time) compare to SSO, GWO and Particle Swarm Optimization (PSO) techniques. Even for manipulating with huge problem size in job shop scheduling the proposed technique would achieve the average of 99.90% closer to benchmark minimized makespan time. Keyword: Job ...
Six sigma for small-and medium-sized enterprises (SMEs) is an emerging topic among many academics and Six Sigma practitioners over the last two to three years. Very few studies have been reported about the successful applications of Six... more
Six sigma for small-and medium-sized enterprises (SMEs) is an emerging topic among many academics and Six Sigma practitioners over the last two to three years. Very few studies have been reported about the successful applications of Six Sigma in SMEs. Main objective of this paper is to examine the extent of usefulness of a simpler but not very frequently used methodology known as the Shainin methodology for simplifying the implementing Six Sigma. To confirm whether Six Sigma implementation is simplified, this paper highlights the comparison of three DOE approaches viz. Classical, Taguchi and Shainin methodology. A case study based research work done in ISO certified Indian SME, concludes that, Six Sigma implementation process can be simplified by using Shainin tools and proper use company's ISO/QMS. 1. INTRODUCTION In recent past, academicians, practitioners and organizational researchers have recognized that the Quality Management System (QMS) process and the Six-Sigma process ...
Engine Oil (lubricating oil) is an important element in I C engines and it is exposed to various strains depending on the operating conditions. If it becomes contaminated with dirt and metal particles, it can become too thick or thin and... more
Engine Oil (lubricating oil) is an important element in I C engines and it is exposed to various strains depending on the operating conditions. If it becomes contaminated with dirt and metal particles, it can become too thick or thin and loses its protective properties, lead to unwanted friction. In turn, to avoid an engine failure, the oil must be changed before it loses its protective properties, which may be harmful for engine which deteriorates vehicle performance. At the same time, changing the lubricant too early, cause inefficient use of already depleting resources, also unwanted impact on environment and economic reasons. Hence, it will be always helpful to know the useful remaining life of the oil under use. With this objective, the research work had been undertaken to develop an instrument for predicting remaining life of the oil under use. Viscosity is considered as an important parameter for describing quality of oil. In this research work reported in this paper proposes...
Reliability, maintainability, and availability analysis of Computerized Numerical Control Machine Tools (CNCMT) is vital as they are widely used in manufacturing industries for mass production. This paper proposes a generalized framework... more
Reliability, maintainability, and availability analysis of Computerized Numerical Control Machine Tools (CNCMT) is vital as they are widely used in manufacturing industries for mass production. This paper proposes a generalized framework for TimeBetween-Failure (TBF) and Time-To-Repair (TTR) data analysis, integrated with Markov chains for estimating the system’s Steady State Availability (SSA). A case study of a typical CNCMT illustrates the applicability and the effectiveness of the proposed framework. The effect of variation of sub-systems' failure and repair rates on the availability of the CNCMT is studied. The critical sub-systems from reliability, maintainability, and availability point of view are identified. The analysis reveals that the CNCMT’s failure and repair rates are nearly constant and the CNCMT fails four times per year. The Lubrication Sub-system (LS) is the utmost severe sub-system as far as maintainability aspect is concerned and Turret Sub-system (TS) is th...
With the rapid growth of modern technology, maintenance contributes significantly vitalfunction in many industries. The objectives of maintenance-related decision-making process will lead to select and use various condition monitoring... more
With the rapid growth of modern technology, maintenance contributes significantly vitalfunction in many industries. The objectives of maintenance-related decision-making process will lead to select and use various condition monitoring techniques for different industrial applications. It is evident from the published literature that, effective use of ISO standards in isolation is very well documented, but after knowing the importance of the use of integrated condition-based maintenance (ICBM) strategy, it will be more important to know how interoperability of international standards, company standards, standard guidelines, and recent research models/recommendations will help to implement ICBM strategy more effectively.These paper overview relevant international standards related to condition monitoring &diagnosis of selected machines used in power generation and highlights case of how concept of interoperability of standards defined at different levels helpedtoselect suitable mainten...
The paper reports development of a theoretical model to study vibration characteristics of the ball bearing. The Lagrangian method is adopted to analyse vibrations generated due to circumferential motions of the ball as well as its... more
The paper reports development of a theoretical model to study vibration characteristics of the ball bearing. The Lagrangian method is adopted to analyse vibrations generated due to circumferential motions of the ball as well as its contact with an inner and outer ring. The contact between the ball and bearing rings are assumed to be of nonlinear spring whose stiffness is computed using Hertz theory. The Runge Kutta method is implemented to solve nonlinear equations of motion. The effect of extended outer raceway defect size and speed on the vibration characteristics of the ball bearing is analysed. The frequency domain transformation indicates that vibration characteristic of ball bearing varies as a result of nonlinear load deflection relation during the interaction of ball and raceway defect. The analysis implied that defect size and speed of the ball bearing are influencing parameters affecting the dynamic response of the bearing.
REBA (Rapid Entire Body Assessment) and RULA (Rapid Upper Body Assessment) are techniques to quantize the fatigue experienced by the worker while manually lifting loads. These assessments were carried out by a procedural analysis of body... more
REBA (Rapid Entire Body Assessment) and RULA (Rapid Upper Body Assessment) are techniques to quantize the fatigue experienced by the worker while manually lifting loads. These assessments were carried out by a procedural analysis of body postures involved. The fatigue involved in a particular operation was quantified and accordingly changes in work method for system improvement were suggested. These techniques helped in process refinement by identifying actions causing high fatigue.
India’s rapid economic growth and change in lifestyle have increased the level of municipal solid waste (MSW) generation in the country. Metropolitan cities in India are contributing a major portion (in lakhs metric tons per day) of MSW.... more
India’s rapid economic growth and change in lifestyle have increased the level of municipal solid waste (MSW) generation in the country. Metropolitan cities in India are contributing a major portion (in lakhs metric tons per day) of MSW. It is only due to the lack of availability of poor infrastructure to handle MSW in the country. Also, the people ignorance towards to handle these waste is also a big challenge to handle this problem. The implementations of low-cost and user-friendly methods are the primary need to handle this kind of situation. It can be easily predicted that Kitchen waste (KW) is contributing a major portion in MSW and its ignorance towards disposing off is increasing environmental pollution day-by-day. It is the motivation of the present study and a comprehensive review of KW generation in India has been done. A study based on prefeasibility to handle KW is also done and based on that a feasible solution is provided to handle KW on waste to energy for sustainable...
Centrifugal filtration is a mechanical method of separation which uses centrifugal force and density difference for separation of particles. The paper aims to optimize the filter design in order to maximize the filtration efficiency and... more
Centrifugal filtration is a mechanical method of separation which uses centrifugal force and density difference for separation of particles. The paper aims to optimize the filter design in order to maximize the filtration efficiency and increase the reusability of the fluid by varying the input parameters. This is achieved by analyzing the particle behavior using Discrete Phase Modelling and Taguchi approach. The filtration efficiency is found to be significantly enhanced by changes in design and process parameters in the system. Increased efficiency could assure higher quality of fluid, which enhances its reusability.
Received: 17 September 2018 Accepted: 6 November 2020 Solar desalination system is one of the technologies which converts hard water to soft water which even is useful for drinking purpose. This paper reports the mathematical modelling of... more
Received: 17 September 2018 Accepted: 6 November 2020 Solar desalination system is one of the technologies which converts hard water to soft water which even is useful for drinking purpose. This paper reports the mathematical modelling of hard water desalination using hybrid (ETC + CPC) solar desalination system. This model considers various parameters such as intensity of solar radiation, atmospheric temperature, wind speed, material for compound parabolic concentrator, flow rate, concentration ratio and gives idea for system performance in terms of soft water production. Experiments were conducted at Pune City which is located in western region of India and accordingly environmental parameter are considered accordingly. It is observed that average percentage error values calculated using this proposed model to quantity soft water in comparison with actual experimental results are in the range of 3% to 5%. Hence, it is concluded that numerically calculated quantity of soft water pe...
The demand of steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. Many of the process industries depend on industrial steam boilers as a vital component... more
The demand of steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. Many of the process industries depend on industrial steam boilers as a vital component for their operation. The availability of the boiler can be improved by identifying critical mechanical subsystems/components concerning failure frequency, reliability, and maintainability and minimizing their likelihood of occurrences. The selection of appropriate technique for data collection and reliability analysis is essential. The time between failure (TBF) and time to repair (TTR) of all components and subsystems were collected to carry out reliability, availability, and maintainability (RAM) analysis. The best-fit distribution and distribution parameters were calculated using reliasoft software weibull++10 after performing trend testing. The preventive maintenance intervals of all components and subsystems and the availability of the system wer...
PurposeIndia's textile industries play a vital role in the Indian economy. These industries consume the highest thermal energy (steam power). The demand of the steam in process industries is increasing rapidly, and this demand can be... more
PurposeIndia's textile industries play a vital role in the Indian economy. These industries consume the highest thermal energy (steam power). The demand of the steam in process industries is increasing rapidly, and this demand can be met by increasing the capacity utilization of steam boilers. The purpose of this paper is to present a new approach for reliability analysis by expert judgment method.Design/methodology/approachA lack of adequate life data is one of the biggest challenge in the reliability analysis of mechanical systems. This research provides an expert judgment approach for assessing the boiler's reliability characteristics. For this purpose, opinions of experts on time to failure and time to repair data were elicited in the form of statistical distributions. In this work, reliability analysis of the boiler system is carried out by expert judgment method and by using best-fit failure model. The system reliability along with preventive maintenance intervals of a...
This paper incorporates the fusion-updating process in an optimization technique by solving NP hard problems. Here, the process of scheduling jobs and machines in a sequential order is made to attain in a minimized makespan time. The... more
This paper incorporates the fusion-updating process in an optimization technique by solving NP hard problems. Here, the process of scheduling jobs and machines in a sequential order is made to attain in a minimized makespan time. The proposed methodology manipulates couple of conventional optimization technique Social Spider Optimization (SSO) and Grey Wolf Optimization (GWO) by fusing method. This fusion takes part in updating process in the optimization. Solving job shop scheduling, problem manually takes enormous time to reveal settling result; instead, solving with met heuristics technique will certainly conserve the time consumption in manipulating. The proposed hybrid (SSO-GWO) reveals superior result (minimized makespan time) compare to SSO, GWO and Particle Swarm Optimization (PSO) techniques. Even for manipulating with huge problem size in job shop scheduling the proposed technique would achieve the average of 99.90% closer to benchmark minimized makespan time.
Abstract Early detection of the fault is not only essential to ensure the current health of the critical equipment but also to diagnose the fault before any catastrophic failure. In order to improve the capability for early fault... more
Abstract Early detection of the fault is not only essential to ensure the current health of the critical equipment but also to diagnose the fault before any catastrophic failure. In order to improve the capability for early fault detection and diagnosis of critical equipment, an improved form of generalized coordinated condition monitoring approach has been developed and adopted in this paper. The effectiveness of an integrated approach has been realized by concurrently using selected condition monitoring techniques viz. vibration analysis, noise measurement, wear debris analysis, ultrasonic monitoring in terms of increased fault diagnosis accuracy. A case study on failure analysis of Induced Draft (ID) fan 2A from 250 × 2 MW thermal power plant located in the western region of India is carried out. The vibration trend of acceleration parameter of hydraulic coupling input bearing found to be on the higher side and reached to 4.2 (g) level, sound level meter recorded an increased noise level of 99.8 dB, and high-frequency sound of 18 dB ultrasound was observed by the ultrasonic meter. In addition, medium alloy bearing particles of size 68 µm were found in the test oil sample, which confirmed that hydraulic coupling input bearing deterioration, has occurred. The vibration parameter provides sufficient insights into the earliest failures, and the fault location, severity, its effect on other process parameters are monitored by noise, wear, and ultrasound level. Furthermore, the secondary damages related to motor and fan were avoided. Simultaneous use of these techniques not only detects the earlier fault but can be diagnosed before any catastrophic failure. The result obtained in this study assisted the maintenance engineer of the plant for scheduling the maintenance activity well in advance.
A simple system or mechanism for engine Oil (lubricating oil) deterioration monitoring is a need. As engine oil is an important element in I C engines and it is exposed to various strains depending on the operating conditions. If it... more
A simple system or mechanism for engine Oil (lubricating oil) deterioration monitoring is a need. As engine oil is an important element in I C engines and it is exposed to various strains depending on the operating conditions. If it becomes contaminated with dirt and metal particles, it can become too thick or thin and loses its protective properties, leads to unwanted friction. In turn, to avoid an engine failure, the oil must be changed before it loses its protective properties, which may be harmful to engine which deteriorates vehicle performance. At the same time, changing the lubricant too early, cause inefficient use of already depleting resources, also unwanted impact on the environment and economic reasons. Hence, it will be always helpful to know the quality of the oil under use. With this objective, the research work had been undertaken to develop a simple capacitance sensor for quantification of the quality of oil under use. One of the investigated parameter to quantify oil degradation is Visco...
At present, optimization techniques are popular to solve typical engineering problems. It is the action of making the best or most effective use of a situation or resources. In order to survive in the competitive market, each organization... more
At present, optimization techniques are popular to solve typical engineering problems. It is the action of making the best or most effective use of a situation or resources. In order to survive in the competitive market, each organization has to follow some optimization technique depending on their requirement. In each optimization problem, there is an objective function to minimize or maximize under the given restrictions or constraints. All techniques have their own advantages and disadvantages. Traditional method starts with the initial solution and with each successive iteration converges to the optimal solution. This convergence depends on the selection of initial approximation. These methods are not suited for discontinuous objective function. So, the need of non-traditional method was felt. Some non-traditional methods are called nature-inspired methods. In this chapter, the authors give the description of the optimization techniques along with the comparison of the tradition...
Abstract Rolling element Bearings are critical components in rotating machinery found in most of industrial and commercial applications. Failure of these components does affect not only performance of the entire machinery but also its... more
Abstract Rolling element Bearings are critical components in rotating machinery found in most of industrial and commercial applications. Failure of these components does affect not only performance of the entire machinery but also its reliability, safety and profitability. A comprehensive condition based monitoring techniques, research models along with guidelines by various Industrial sector, ISO standard do exist to predict early failure of bearing. The interoperability based operational model is developed that provides the necessary flexibility to industrial users to infer various modelling and simulation techniques for fault detection, diagnosis and prognosis of bearing. The paper presented with case studies highlighting condition based strategies that can provide savings in many maintenance activities. The case study of bearing failure revels that, lack of standardization is observed for bearing when it is associated with distributed and extended nature of fault under low speed application. Research study based recommendation is discussed at the end of the paper.
Abstract Use of composite structures in various sectors is rapidly increasing. The composite materials are becoming very popular due to high strength to weight ratio, high stiffness to weight ratio, low coefficient of friction, improved... more
Abstract Use of composite structures in various sectors is rapidly increasing. The composite materials are becoming very popular due to high strength to weight ratio, high stiffness to weight ratio, low coefficient of friction, improved appearance etc. Extensive literature is available for the behavior of composite bolted joints subjected to tensile loading for the aerospace structures. The work reported in this paper is an attempt to extend the analytical model for studying the behaviour of composite bolted joint under compressive loading. The model is capable of conducting the parametric study on the joint stiffness variation with respect to parameters such as plate width, bolt diameter and stacking sequence for compressive loading. The model is verified experimentally. The experiments were designed to study the effect of variation in the parameters on the joint stiffness. Unidirectional and bidirectional carbon fibre epoxy composite laminates were tested as per ASTM D5961. The parameters viz. stacking sequence, bolt diameter, plate width of the joint stiffness are identified as significant.
The use of composites is increasing in the engineering applications in order to reduce the weight, building energy efficient systems, designing a suitable material according to the requirements of the application. But at the same time,... more
The use of composites is increasing in the engineering applications in order to reduce the weight, building energy efficient systems, designing a suitable material according to the requirements of the application. But at the same time, building a structure is possible only by bonding or bolting or combination of them. There are limitations for the bonding methods and problems with the bolting such as stress concentration near the neighborhood of the bolt hole, tensile or shear failure, delamination etc. Hence the design of a composite bolted structure needs a special attention. This paper focuses on the performance of the composite bolted joint under static tensile loading and the effect of variation in the parameters such as the bolt pitch, plate width, thickness, bolt tightening torque, composite material, coefficient of friction between the bolt and plate etc. A simple spring mass model is used to study the single bolted composite bolted joint.The influencing parameters are identified through the developed model and compared with the results from the literature. The best geometric parameters for the applied load are identified for the composite bolted joints.
ABSTRACT The ISO 9001 quality management system has been widely accepted and adapted as a national standard by most industrial countries. Despite its high popularity and the urgent demand from customers to implement ISO 9001, some major... more
ABSTRACT The ISO 9001 quality management system has been widely accepted and adapted as a national standard by most industrial countries. Despite its high popularity and the urgent demand from customers to implement ISO 9001, some major concerns for those organizations that are seeking registration to ISO 9001 include the expensive cost and the lengthy time to implement. The purpose of this paper is to describe an expert advisory system for ISO 9001 implementation by using an expert system. This expert advisory system integrated the ISO 9001 quality system guidelines and domain experience a into a knowledge-based expert system. By identifying the critical ISO elements and comparing the company's current quality performance with ISO standards, this advisory system provides assessment results and implementation suggestions in terms of corrective and preventive action reports to the organization. The advisory system has been validated by its implementation at Pune based small scale company. The following contains a description of the system and a discussion of the validation results. Limitations of the system and recommendations for future research are also discussed.
Optimization of any manufacturing process is a prerequisite for procuring high-quality products. To develop the methods to satisfy the increasing demand for improved quality standards for industrial applications thus has been of... more
Optimization of any manufacturing process is a prerequisite for procuring high-quality products. To develop the methods to satisfy the increasing demand for improved quality standards for industrial applications thus has been of significant interest. In this paper, the center-less honing process has been analyzed. This study aims to optimize the process parameters to make the process robust to any variations. Using feature engineering and dimensionality reduction compression in the amount of data required. Building a quality prediction model using soft-computing techniques such as Deep Neural Network, decision trees, Support Vector Machine, logical regression and ensemble method has been explored in this research work. A comparison of these methods is presented along with an attempt made towards selecting the best method for the given problem.
Int. J. Six Sigma and Competitive Advantage, Vol. 6, Nos. 1/2, 2010 ... Mapping macro/micro level critical links for integrating Six Sigma DMAIC steps as a part of company's existing QMS: an Indian SME case study ... Mechanical... more
Int. J. Six Sigma and Competitive Advantage, Vol. 6, Nos. 1/2, 2010 ... Mapping macro/micro level critical links for integrating Six Sigma DMAIC steps as a part of company's existing QMS: an Indian SME case study ... Mechanical Engineering Department, Vishwakarama ...