使用多属性决策技术和回归分析,多目标优化电线放电加工过程
Masoud Seidi1, Saeed Yaghoubi2, Farshad Rabiei3
1Department of Computer Engineering, Faculty of Engineering, Ilam University, Ilam, Iran.
Scientific reports
|May 3, 2024
概括
这项研究通过分析电线输送速度和张力等过程变量来优化电线电流加工 (WEDM). 在MEREC-WASPAS混合技术中,粗度被确定为加工部件质量的最关键因素.
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
- 工业过程 工业过程
背景情况:
- 线电放电加工 (WEDM) 是一种重要的非传统加工方法,在各个行业广泛采用.
- 优化WEDM过程变量对于提高加工元件的质量至关重要,特别是在复杂的模具结构中.
- 影响WEDM结果的关键过程参数包括电线输入速度,电线张力和发电机功率.
研究的目的:
- 研究WEDM工艺变量对加工零件的尺寸精度,硬度和表面粗度的同时影响.
- 采用多目标优化技术来确定WEDM的最佳实验条件.
- 在WEDM过程中确定不同质量属性的相对重要性.
主要方法:
- 采用混合方法,结合基于标准清除效应 (MEREC) 和权重聚合物总和产品评估 (WASPAS) 的方法,以实现多目标优化.
- 应用回归分析来研究过程变量对响应因子 (尺寸精度,硬度,粗度) 的影响.
- 确定了电线输入速度 (2厘米/秒),电线张力 (2.5公斤) 和发电机功率 (10%) 的最佳设置.
主要成果:
- 从MEREC-WASPAS和回归分析中获得的结果之间观察到强烈的相关性.
- 在MEREC-WASPAS混合技术中,表面粗度 (89%) 获得了最高的权重,其次是硬度 (9%) 和尺寸精度 (2%).
- 最佳的实验设置被确定为2厘米/秒的电线输入速度,2.5公斤的电线张力和10%的发电机功率.
结论:
- MEREC-WASPAS混合技术有效地优化WEDM参数,以提高产品质量.
- 表面粗度是影响WEDM加工零件质量的最重要因素.
- 确定的最佳参数为实现高质量的WEDM组件提供了实际指导方针.
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