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An experimental investigation and modelling for travelling wire electrochemical machining of Monel 400 alloys

机译:监控室400合金行驶线电化学加工的实验研究

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摘要

Monel 400 alloys find its applications in aerospace and marine industries. It is tough to cut these alloys using conventional machine tools as the hardness is high and also these alloys work-harden during cutting. Travelling wire electrochemical machining (TWECM), can cut these alloys efficiently and improves material removal rate (MRR) and surface quality. In this investigation, an attempt was made to investigate the TWECM characteristics of Monel 400 alloys and model the equation for MRR with the three process parameters i.e. voltage (V), electrolyte concentration (EC) and travelling wire speed (TS). The response surface methodology (RSM) was employed for design and analysis of experiments. The contour plots were generated to understand the effect of machining parameters on MRR. Artificial neural networks (ANN) were implemented to predict the process parameters. The predicted values of MRR with regression equation and ANN are in close agreement with the experimental results.
机译:Monel 400合金在航空航天和海洋工业中找到了应用。 由于硬度高,并且在切割过程中,使用传统的机床使用传统的机床切割这些合金是坚韧的。 热线电化学加工(TWECM),可以有效地切割这些合金,提高材料去除率(MRR)和表面质量。 在该研究中,尝试研究MRR的MRR的TWECM特性,并利用三个工艺参数的MRR的方程。电压(V),电解质浓度(EC)和行驶线速度(TS)。 响应面方法(RSM)用于设计和分析实验。 产生轮廓图以了解加工参数对MRR的影响。 实施人工神经网络(ANN)以预测过程参数。 与回归方程和ANN的MRR的预测值与实验结果密切一致。

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