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Modelling of surface finish, electrode wear and material removal rate in electrical discharge machining of hard-to-machine alloys

机译:难加工合金的放电加工中的表面光洁度,电极磨损和材料去除率的建模

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Hard-to-machine alloys are commonly used for industrial applications in the aeronautical, nuclear and automotive sectors, where the materials must have excellent resistance to corrosion and oxidation, high temperature resistance and high mechanical strength. In this present study the influence of different parameters of the electrical discharge machining process on surface roughness, electrode wear and material removal rate have been studied. Regression techniques are employed to model arithmetic mean deviation Ra (mu m), peak count Pc (1/cm), material removal rate MRR (mm(3)/min) and electrode wear EW (%). All these parameters have been studied in terms of current intensity supplied by the generator of the electrical discharge machine I(A), pulse time t(i) (mu s), duty cycle eta and open-circuit voltage U (V). This modelling allows us to obtain mathematical data and models to predict that the most influential factor in MRR and Ra is the current intensity and in the case of EW and Pc is the pulse time. (C) 2014 Elsevier Inc. All rights reserved.
机译:难以加工的合金通常用于航空,核能和汽车行业的工业应用中,这些材料必须具有出色的耐腐蚀和抗氧化性,耐高温性和高机械强度。在本研究中,研究了电火花加工工艺的不同参数对表面粗糙度,电极磨损和材料去除率的影响。回归技术用于模拟算术平均偏差Ra(μm),峰数Pc(1 / cm),材料去除率MRR(mm(3)/ min)和电极磨损EW(%)。已经根据放电机的发生器提供的电流强度I(A),脉冲时间t(i)(μs),占空比eta和开路电压U(V)研究了所有这些参数。该模型使我们可以获得数学数据和模型,以预测MRR和Ra中最有影响力的因素是电流强度,而EW和Pc情况下则是脉冲时间。 (C)2014 Elsevier Inc.保留所有权利。

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