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Development of an Empirical Model for Optimization of Machining Parameters to Minimize Power Consumption

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dc.contributor.author Garg, Girish Kant
dc.contributor.author Sangwan, Kuldip Singh
dc.date.accessioned 2023-08-28T08:50:27Z
dc.date.available 2023-08-28T08:50:27Z
dc.date.issued 2018
dc.identifier.uri https://iopscience.iop.org/article/10.1088/1757-899X/346/1/012078/meta
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11702
dc.description.abstract The manufacturing sector consumes huge energy demand and the machine tools used in this sector have very less energy efficiency. Selection of the optimum machining parameters for machine tools is significant for energy saving and for reduction of environmental emission. In this work an empirical model is developed to minimize the power consumption using response surface methodology. The experiments are performed on a lathe machine tool during the turning of AISI 6061 Aluminum with coated tungsten inserts. The relationship between the power consumption and machining parameters is adequately modeled. This model is used for formulation of minimum power consumption criterion as a function of optimal machining parameters using desirability function approach. The influence of machining parameters on the energy consumption has been found using the analysis of variance. The validation of the developed empirical model is proved using the confirmation experiments. The results indicate that the developed model is effective and has potential to be adopted by the industry for minimum power consumption of machine tools. en_US
dc.language.iso en en_US
dc.publisher IOP en_US
dc.subject Mechanical Engineering en_US
dc.subject Power Consumption en_US
dc.title Development of an Empirical Model for Optimization of Machining Parameters to Minimize Power Consumption en_US
dc.type Article en_US


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