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<strong>Optimization of cylindrical grinding process parameters using meta-heuristic algorithms</strong>

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Title Statement <strong>Optimization of cylindrical grinding process parameters using meta-heuristic algorithms</strong>
 
Added Entry - Uncontrolled Name Rekha, Rajasekaran ; Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirappalli – 620012, India
Baskar, Neelakandan ; Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirappalli – 620012, India
Padmanaban, Mallasamudram Ramanathan Anantha; Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirappalli – 620012, India
Palanisamy, Angappan ; Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirappalli – 620012, India
 
Uncontrolled Index Term Cylindrical grinding, Modeling, Optimization, Regression analysis, Simulated annealing, Genetic algorithm
 
Summary, etc. Owing to the complexity of grinding process, it has been very difficult to predict the optimal machining conditionswhich have been resulted in smooth surface finish, accurate geometric measurements and higher production rate. In thiswork, empirical models for surface roughness, roundness error and metal removal rate have been developed based onregression analysis. These models have been associated the grinding process parameters (work speed, feed rate and depth ofcut) with machining performances (metal removal rate, roundness error and surface roughness). Using these models, theoptimization has been carried out based on simulated annealing (SA) and genetic algorithm (GA) which have been the twopopular meta-heuristic optimization techniques. Finally, the results of the proposed techniques l have compared andexperimentally validated.
 
Publication, Distribution, Etc. Indian Journal of Engineering and Materials Sciences (IJEMS)
2021-02-04 14:22:38
 
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http://op.niscair.res.in/index.php/IJEMS/article/view/45971
 
Data Source Entry Indian Journal of Engineering and Materials Sciences (IJEMS); ##issue.vol## 27, ##issue.no## 2 (2020): IJEMS- April 2020
 
Language Note en
 
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