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

机译:开发用于优化加工参数的实证模型,以最大限度地减少功耗

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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.
机译:制造业消耗了巨大的能源需求,该扇区中使用的机床具有非常较低的能量效率。为机床的最佳加工参数选择最佳加工参数对于节能和降低环境排放。在这项工作中,开发了经验模型的实证模型为了最小化使用响应表面方法的功耗。在使用涂覆的钨刀片的AISI 6061铝的转动期间在车床机床上进行实验。功耗和加工参数之间的关系是充分的模型。本型模型用于配方最小功耗标准作为使用期望函数方法的最佳加工参数的函数。利用方差分析发现加工参数对能量消耗的影响。使用确认实验证明了开发的经验模型的验证。结果表明发达的模型是有效的,并且该行业采用了机床最低功耗的潜力。

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