Computer Methods in Biomechanics and Biomedical Engineering
Daily activities such as aerobic movements and athletic events found effective in mitigating bone... more Daily activities such as aerobic movements and athletic events found effective in mitigating bone loss as it promotes osteogenesis. Computational model considered normal strain, or strain energy density as a stimulus to predict site specific osteogenesis. This model, however, fails to predict site specific osteogenesis as cortical bone surfaces exhibit different remodelling rate to mechanical loading. Remodelling rate or mineral apposition rate depends upon the loading parameters such as loading cycle, frequency, and magnitude of strain. Therefore, the present study aims to develop an adaptive neuro-fuzzy inference system (ANFIS) model for finding a robust relationship between loading parameters like strain magnitude, frequency, and cycle, and a bone remodelling parameter i.e. mineral apposition rate (MAR). The model is trained, tested, and checked with the experimental data. The results indicate that ANFIS model outperformed state of the art Artificial Neural Network (ANN) models during the prediction of MAR at periosteal and endosteal surface. A strong corelation R2 = 0.92 and R2 = 0.97 was observed at 70% of the input data at periosteal and endosteal surface respectively. Result concludes that endosteal surface was more promisable as compared to periosteal surface in predicting accurate MAR. The outcomes of present study may be used to precisely predict site-specific osteogenesis in cortical bone as function of loading parameters.
Graphene is a two-dimensional hexagonal type of carbon allotropes in the form of a sheet. It is a... more Graphene is a two-dimensional hexagonal type of carbon allotropes in the form of a sheet. It is a one atom thick sheet of carbon atoms, which has extraordinary thermal, mechanical, electronic and electrical properties. In the present research, a molecular dynamic study has been done to investigate the mechanical properties of graphene reinforced epoxy nanocomposite. A single layer of graphene sheet has been randomly reinforced into the epoxy matrix at 5%, 10%, 15% and 20% weight percentages. A dense amorphous cell is created using the Forcite module of Material Studio software and simulation is performed. Young's modulus is predicted at varying strain rate from 0-1. Results have revealed that Young's modulus increases with increase in reinforcement quantity. Moreover, graphene reinforced epoxy nanocomposite exhibits better properties than CNT reinforced nanocomposites.
In this study, effects of aspect ratio and perforation on the buckling response of graphene nanos... more In this study, effects of aspect ratio and perforation on the buckling response of graphene nanosheet (GNS)-embedded aluminum (Al) nanocomposite plate are studied using molecular dynamics (MD) simulations. The periodic system of GS-Al nanocomposite plate is built and simulated using molecular dynamics (MD) based software LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator). Embedded atom method (EAM) and Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potentials are employed to model the interactions between the atoms of Al and carbon atoms, respectively. It is observed that the buckling strength of square GNS-Al nanocomposite plate deteriorates drastically due to perforation and the same is also true for plates of higher aspect ratio.
Archives of Computational Methods in Engineering, 2021
In industries, precise measurement of different form errors is critical and challenging for strin... more In industries, precise measurement of different form errors is critical and challenging for stringent geometric and dimensional control in manufactured part. These form errors have significant influence on the functional performance of an industrial product that arises due the inherent invariability in measurement techniques and manufacturing devices. Several research have been conducted for evaluation of important form errors such as straightness, flatness, circularity, cylindricity and sphericity using different computational methods. The need of computational methods is justified as they minimize calculation time, human errors and provides improved tolerance values in assessment of form errors. In the same context, this paper presents a comprehensive review and discussion on different computational techniques for distinctive form error evaluation in engineering components. The present work mainly focused on aspects of mathematical formulations and the computational techniques i.e., traditional methods and advanced optimization algorithms, employed for precised evaluation of these errors. Based on the detailed review, several future research directions were described. Finally, last section presents concluding remarks on computational methods in modelling and precise evaluation of form error in manufactured components.
The paper presents a new mechanism for an index finger rehabilitation device. The mechanism was d... more The paper presents a new mechanism for an index finger rehabilitation device. The mechanism was designed based on a pre-specified trajectory obtained by performing flexion/extension experimental trials with index finger. These experiments were performed 30 times and mean of the normalized trajectory was extracted. From this trajectory, six precision points were selected and based on the obtained trajectory, a path generating optimization problem was formulated to imitate the flexion/extension. Besides, rectification constraints were posed to avoid defects that typically encounter during synthesis. The formulated nonlinear optimization problem was solved using nature-inspired and metaphor-less algorithms. It is found that the summed error between the desired and generated trajectories was very less in case of nature-inspired algorithm in comparison with metaphor-less algorithm. Then, all rectification constraints were validated. It is found that obtained mechanism is completely defect-free and is able to imitate the desired flexion/extension trajectory. Therefore, design obtained using nature-inspired algorithm may prove to be beneficial for the patients with dysfunction index finger.
Computer Methods in Biomechanics and Biomedical Engineering
Daily activities such as aerobic movements and athletic events found effective in mitigating bone... more Daily activities such as aerobic movements and athletic events found effective in mitigating bone loss as it promotes osteogenesis. Computational model considered normal strain, or strain energy density as a stimulus to predict site specific osteogenesis. This model, however, fails to predict site specific osteogenesis as cortical bone surfaces exhibit different remodelling rate to mechanical loading. Remodelling rate or mineral apposition rate depends upon the loading parameters such as loading cycle, frequency, and magnitude of strain. Therefore, the present study aims to develop an adaptive neuro-fuzzy inference system (ANFIS) model for finding a robust relationship between loading parameters like strain magnitude, frequency, and cycle, and a bone remodelling parameter i.e. mineral apposition rate (MAR). The model is trained, tested, and checked with the experimental data. The results indicate that ANFIS model outperformed state of the art Artificial Neural Network (ANN) models during the prediction of MAR at periosteal and endosteal surface. A strong corelation R2 = 0.92 and R2 = 0.97 was observed at 70% of the input data at periosteal and endosteal surface respectively. Result concludes that endosteal surface was more promisable as compared to periosteal surface in predicting accurate MAR. The outcomes of present study may be used to precisely predict site-specific osteogenesis in cortical bone as function of loading parameters.
Graphene is a two-dimensional hexagonal type of carbon allotropes in the form of a sheet. It is a... more Graphene is a two-dimensional hexagonal type of carbon allotropes in the form of a sheet. It is a one atom thick sheet of carbon atoms, which has extraordinary thermal, mechanical, electronic and electrical properties. In the present research, a molecular dynamic study has been done to investigate the mechanical properties of graphene reinforced epoxy nanocomposite. A single layer of graphene sheet has been randomly reinforced into the epoxy matrix at 5%, 10%, 15% and 20% weight percentages. A dense amorphous cell is created using the Forcite module of Material Studio software and simulation is performed. Young's modulus is predicted at varying strain rate from 0-1. Results have revealed that Young's modulus increases with increase in reinforcement quantity. Moreover, graphene reinforced epoxy nanocomposite exhibits better properties than CNT reinforced nanocomposites.
In this study, effects of aspect ratio and perforation on the buckling response of graphene nanos... more In this study, effects of aspect ratio and perforation on the buckling response of graphene nanosheet (GNS)-embedded aluminum (Al) nanocomposite plate are studied using molecular dynamics (MD) simulations. The periodic system of GS-Al nanocomposite plate is built and simulated using molecular dynamics (MD) based software LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator). Embedded atom method (EAM) and Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potentials are employed to model the interactions between the atoms of Al and carbon atoms, respectively. It is observed that the buckling strength of square GNS-Al nanocomposite plate deteriorates drastically due to perforation and the same is also true for plates of higher aspect ratio.
Archives of Computational Methods in Engineering, 2021
In industries, precise measurement of different form errors is critical and challenging for strin... more In industries, precise measurement of different form errors is critical and challenging for stringent geometric and dimensional control in manufactured part. These form errors have significant influence on the functional performance of an industrial product that arises due the inherent invariability in measurement techniques and manufacturing devices. Several research have been conducted for evaluation of important form errors such as straightness, flatness, circularity, cylindricity and sphericity using different computational methods. The need of computational methods is justified as they minimize calculation time, human errors and provides improved tolerance values in assessment of form errors. In the same context, this paper presents a comprehensive review and discussion on different computational techniques for distinctive form error evaluation in engineering components. The present work mainly focused on aspects of mathematical formulations and the computational techniques i.e., traditional methods and advanced optimization algorithms, employed for precised evaluation of these errors. Based on the detailed review, several future research directions were described. Finally, last section presents concluding remarks on computational methods in modelling and precise evaluation of form error in manufactured components.
The paper presents a new mechanism for an index finger rehabilitation device. The mechanism was d... more The paper presents a new mechanism for an index finger rehabilitation device. The mechanism was designed based on a pre-specified trajectory obtained by performing flexion/extension experimental trials with index finger. These experiments were performed 30 times and mean of the normalized trajectory was extracted. From this trajectory, six precision points were selected and based on the obtained trajectory, a path generating optimization problem was formulated to imitate the flexion/extension. Besides, rectification constraints were posed to avoid defects that typically encounter during synthesis. The formulated nonlinear optimization problem was solved using nature-inspired and metaphor-less algorithms. It is found that the summed error between the desired and generated trajectories was very less in case of nature-inspired algorithm in comparison with metaphor-less algorithm. Then, all rectification constraints were validated. It is found that obtained mechanism is completely defect-free and is able to imitate the desired flexion/extension trajectory. Therefore, design obtained using nature-inspired algorithm may prove to be beneficial for the patients with dysfunction index finger.
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