An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Singh, Mandeep; Garg, Harish; Maharana, Sthitapragyan; Yadav, Anchal; Singh, Rasmeet; Maharana, Pragyansu; Nguyen, Tien Van; Yadav, Sudesh; Loganathan, M. K.

doi:10.3390/met11091449

Cited by 38 publications

(26 citation statements)

References 35 publications

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“…The volute casing pressure allowed for the identification of this loss. In subsequent analysis [27,28,31], including ideas for different technologies, these were introduced as a whole, taking into account this critical negative impression of this proposed technology and other optimum design methodologies. With the TLBO technique, quality performance indicative of excellent design was noted.…”

Section: Resultsmentioning

confidence: 99%

“…The water ran smoothly at the planned stream rate and the outspread push coefficients of the structure stream rate were utilized to upgrade both the pressure-driven productivity and the working steadiness of the volute casing. When using a model as the proxy model, the multi-objective optimization design is roughly estimated, as seen in [28][29][30]. The TLBO approach is an optimizer with sequential minimum and maximum techniques.…”

Section: Introductionmentioning

confidence: 99%

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CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

et al. 2022

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In this study, we proposed a novel approach to improve centrifugal pump performance with regard to the pump head, pump efficiency, and power. Firstly, to establish constraints, an optimal numerical model that accounted for factors such as pump efficiency and the head was considered. The pump was designed, and an artificial intelligence algorithmic approach was applied to the pump before performing experiments. We considered a set of models by selecting the parameters of the centrifugal pump casing section area, the interference of the impeller, the volute tongue length, and the volute tongue angle. The weights of the factors of safety and displacement on the optimization indices were estimated. The matrix of the weights for the optimal process was less than 38% or greater than 62%. This approach guarantees a complicated multi-objective optimization problem. The results show that the centrifugal pump performances were improved.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

et al. 2022

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“…In this paper, the software program Minitab 18 was used to create the TM, for the S/N evaluation, and for the evaluation of ANOVA [41][42][43][44][45][46]. In particular, acquired outcomes are presented in Section 4 in this paper.…”

Section: Grey Relational Analysis Based On Taguchi Methodsmentioning

confidence: 99%

Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

et al. 2021

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Compliant mechanisms’ design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnification ratio, low stress by using a flexure joint, and especially no friction and no bending. This joint was designed with optimal dimensions for the studied mechanism by using the method of grey relational analysis (GRA), which is based on the Taguchi method (TM), and finite element analysis (FEA). Grey relational grade (GRG) has been estimated by an artificial neural network (ANN). The optimal values were in good agreement with the predicted value of the Taguchi method and regression analysis. The finite element analysis, signal-to-noise analysis, surface plot, and analysis of variance demonstrated that the design dimensions significantly affected the equivalent stress and displacement. The optimal values of displacement were also verified by the experiment. The outcomes were in good agreement with a deviation lower than 6%. Specifically, the displacement amplification ratio was obtained as 65.36 times compared with initial design.

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“…The average error rate was observed to be 1.67%. Singh et al [22] worked on Al6061 composites with SiC and graphite reinforcement with the independent variables of current, voltage, pulse duration and tool material. The study was carried out using ANOVA.…”

Section: Introductionmentioning

confidence: 99%

Modelling Approach for the Prediction of Machinability in Al6061 Composites by Electrical Discharge Machining

et al. 2022

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This work aims to identify the pattern for the major output parameters, material removal rate (MRR) and surface roughness (Ra) of different combinations of Al6061-based composites. Based on the verification carried out on these patterns using analysis of variance (ANOVA) as the mathematical tool, the work predicts the mentioned output characteristics while machining Al6061 composites of different material compositions based on their hardness values. ANOVA was employed for the generation of equations of the particular composite. The equations were compared for the coefficients of each parameter employed in ANOVA. The work was carried out comparing the characteristic equation of different combinations of Al6061-based composite. The results indicate that the coefficients of the current show a drastic variation when compared to other coefficients for both the output parameters. It was observed that the current and its coefficients contribute to the output parameters based on the variation in hardness. For surface roughness, the constant of the characteristic equation was also found to influence the parameter for the change in hardness. The equation derived for both material removal rate (MRR) and surface roughness (Ra) were identified to be matching with the experimental result carried out for validation. The average variation observed was 9.3% for MRR and 7.2% for surface roughness.

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An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Cited by 38 publications

References 35 publications

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm

Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

Modelling Approach for the Prediction of Machinability in Al6061 Composites by Electrical Discharge Machining

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