在合金薄壁组件和多目标协作优化中预测微磨引发的残余应力和变形
Jie Yi1, Rui Wang1, Dengyun Du2
1School of Mechanical and Electronic Engineering, Shandong Jianzhu University, Jinan 250101, China.
Materials (Basel, Switzerland)
|January 28, 2026
概括
这项研究开发了模型来预测和最大限度地减少合金微研磨中的残余应力和变形. 优化的加工参数显著降低了压力,并提高了薄壁元件的精度.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 制造过程 制造过程 制造过程
背景情况:
- 合金的低刚性会在微加工过程中造成残余应力和变形,影响加工精度.
- 了解剩余应力形成对于控制薄壁元件的变形至关重要.
研究的目的:
- 开发模型来表征和预测合金微研磨中的残余应力和变形.
- 为了优化微研磨参数,同时最大限度地减少残余应力和变形.
主要方法:
- 使用指数式衰变的正弦函数和改进的粒子群优化进行表面残余应力表征.
- 响应表面建模 (中央复合材料设计) 以分析加工参数效应.
- GA-BP神经网络用于增强预测准确性,AGE-MOEA2用于多目标优化.
主要成果:
- 一个新型模型在各种条件下准确地描述了残余应力分布.
- 优化了加工参数,同时最大限度地减少剩余应力和顶部表面变形.
- 验证实验证实了峰值残余应力和抑制变形的显著减少.
结论:
- 拟议的建模和优化策略有效地解决了合金薄壁元件加工中的残余应力和变形挑战.
- 这种方法为实现高精度制造结果提供了有价值的参考.
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