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Multi-objective optimisation of electrical discharge machining process using Derringer's desirability function approach

机译:基于Derringer期望函数法的放电加工过程多目标优化

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Proper selection of manufacturing conditions is one of the most important aspects in the die sinking electrical discharge machining (EDM), as these conditions determine important characteristics such as surface roughness, material removal rate and tool wear rate. In the present work, mathematical models have been developed for relating the surface roughness and material removal rate to machining parameters like pulse-on time, pulse-off time and discharge current. Response surface methodology (RSM) has been applied for developing the models using the technique of design of experiments and multi-linear regression analysis. Validation experiments were conducted to demonstrate the effectiveness of these models. A desirability function approach popularised by Derringer and Suich was used to optimise the EDM process with multiple objectives. Optimal parameter combinations have been identified for machining in finish and roughing region. The study demonstrates that the EDM process parameters can be adjusted to achieve higher material removal rate and better surface roughness simultaneously.
机译:适当选择制造条件是在沉模放电加工(EDM)中最重要的方面之一,因为这些条件决定了重要的特性,例如表面粗糙度,材料去除率和工具磨损率。在当前的工作中,已经开发了数学模型,用于将表面粗糙度和材料去除率与机械加工参数(例如脉冲接通时间,脉冲断开时间和放电电流)相关联。响应面方法(RSM)已用于通过实验设计和多线性回归分析技术开发模型。进行了验证实验以证明这些模型的有效性。由Derringer和Suich推广的合意函数方法用于优化具有多个目标的EDM工艺。确定了用于精加工和粗加工区域的最佳参数组合。研究表明,可以调整EDM工艺参数,以同时实现更高的材料去除率和更好的表面粗糙度。

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