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优化EDM参数用于X37CrMoV5-1工具钢的增强加工,使用taguchi方法和回归分析

Kapil Surani¹, Hiteshkumar Patel¹, Chandrakant Sonawane²

¹Mechanical Engineering Department, Gujarat Technological University-Institute of Technology & Research, Mehsana, Gujarat, 384460, India.

Scientific reports

|November 23, 2025

概括

这项研究优化了X37CrMoV5-1工具钢的电放电加工 (EDM). 峰值电流和脉冲启动时间是关键因素,大大提高了材料清除率,减少了工具磨损.

科学领域:

制造业工程制造工程
材料科学材料科学材料科学
部落学 (tribology) 是一个学科.

背景情况:

在精密刀具加工中,电放电加工 (EDM) 对于加工难加工的合金至关重要.
由于其硬度和应用需求,X37CrMoV5-1工具钢需要优化加工策略.

研究的目的:

实验研究EDM参数对X37CrMoV5-1工具钢的加工性能的影响.
开发材料移除率 (MRR) 和工具磨损率 (TWR) 的预测回归模型.
确定最佳的EDM参数,以最大限度地提高MRR和最大限度地减少TWR.

主要方法:

在实验设计中使用了Taguchi L9直角阵列.
系统地改变了峰值电流 (Ip),脉冲启动时间 (Ton),工作周期 (DC) 和间隙电压 (Vg).
开发回归模型来分析参数对MRR和TWR的影响.

主要成果:

峰值电流 (Ip) 是最有影响力的参数,解释了超过64%的MRR变化和57%的TWR变化.
为了最大限度地提高MRR的最佳参数:Ip=9A,Ton=155μs,DC=28%,Vg=50V.
最小化TWR的最佳参数是:Ip=3A,Ton=210μs,DC=19%,Vg=50V. 这些参数是:
与之前的研究相比,MRR增加了27.5%,TWR下降了21.3%.
回归模型显示出高准确度 (R2>0.987).

结论:

控制高峰电流和脉冲启动时间的调节显著提高了X37CrMoV5-1工具钢的EDM效率.
开发的回归模型可靠地预测EDM性能.
优化的EDM参数为这种关键的工具钢提供了在材料清除和工具寿命方面的大幅改善.

关键词:

这是EDM,EDM是EDM.过程创新过程创新回归分析是一种回归分析.塔古奇 (DOE) 是一个在X37CrMoV5-1钢中使用.

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