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Multi-Objective Optimization of Cutting Parameters to Minimize Power Consumption in Dry Turning of Stainless Steel 316

机译:切削参数的多目标优化,以最大程度地减少316不锈钢干式车削中的功率消耗

摘要

The machinability of stainless steel has attracted considerable interest because of its high strength and corrosion resistance. Cutting fluids-based oil are the most unsustainable elements of machining processes, it is negatively affect the environmental impact of a process. Therefore, dry machining is the optimum solution, when applicable. Reducing energy consumption and using low-cost cutting tools under dry condition should considered for sustainable machining. Therefore, this study aims to optimize machining parameters, including power consumption and the traditional machining responses of surface roughness and tool wear. Stainless steel was turned with an uncoated carbide tool under dry conditions. A multi-objective optimization method of Response surface methodology was employed to optimize machining parameters. The significant contribution of parameters was determined on the basis of compound desirability value, and optimal levels of the parameters were identified. A confirmation test was conducted to validate results. This combination of parameters resulted in the minimum power consumption of 14.94% and decreased surface roughness and tool wear by 4.71% and 13.98%, respectively. Therefore, this method also effectively reduces the effects and costs of the machining process.
机译:由于其高强度和耐腐蚀性,不锈钢的可机械加工性引起了人们的极大兴趣。切削液基油是加工过程中最不可持续的元素,它会对过程的环境影响产生负面影响。因此,适用时,干式加工是最佳解决方案。为了可持续加工,应考虑减少能耗并在干燥条件下使用低成本切削工具。因此,本研究旨在优化加工参数,包括功耗以及表面粗糙度和刀具磨损的传统加工响应。在干燥条件下,用未涂层的硬质合金工具车削不锈钢。采用响应面法的多目标优化方法对加工参数进行优化。根据化合物的合意性值确定参数的显着贡献,并确定参数的最佳水平。进行了确认测试以验证结果。这些参数的组合导致最低功耗为14.94%,表面粗糙度和工具磨损分别降低了4.71%和13.98%。因此,该方法还有效地降低了加工过程的效果和成本。

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