在Ti-6Al-4V合金中的磨料喷水口袋削的参数优化上,采用多标准决策分析方法
K L Naresh Raj1, S Jayavelu1, M Siva Kumar2
1Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, 600062, India.
Scientific reports
|November 29, 2025
概括
这项研究优化了使用多标准决策分析对Ti-6Al-4V合金的磨削. 火焰优化 (MFO) 算法在最大限度地提高材料去除速度和切割深度,同时最大限度地降低表面粗度和切割深度方面证明最有效.
科学领域:
- 材料科学与工程 材料科学与工程
- 制造过程 制造过程 制造过程
- 计算优化计算优化
背景情况:
- Ti-6Al-4V合金是航空航天和生物医学应用中的关键材料.
- 优化磨砂喷水 (AWJ) 口袋削对于这种合金的高效和高质量加工至关重要.
- 传统的优化方法可能无法充分解决AWJ削的多目标性质.
研究的目的:
- 为了优化Ti-6Al-4V合金的磨砂式水喷射 (AWJ) 口袋削参数.
- 为了评估Ti-6Al-4V合金在各种AWJ削条件下的可加工性.
- 为了比较多个优化算法的性能在实现多目标目标.
主要方法:
- 实验使用L32 Taguchi阵列,不同的磨砂网,喷水压力和横行速度进行.
- 采用了多标准决策分析 (MCDA) 方法,包括CODAS和MOORA.
- 粒子集群优化 (PSO),火焰优化 (MFO),灰狼优化 (GWO) 和鱼优化算法 (WOA) 被用于参数优化.
主要成果:
- 多参数ANOVA确定了具有统计意义的磨参数.
- 为了将磨削参数与输出响应 (MRR,DC,UC,SR) 相对应,开发了回归模型.
- 飞火焰优化 (MFO) 算法在最大限度地提高切割深度 (DC) 和材料移除率 (MRR) 方面表现出卓越的性能,同时最大限度地减少切割底 (UC) 和表面粗度 (SR).
结论:
- 该研究成功地优化了AWJ口袋制参数的Ti-6Al-4V合金.
- 与MCDA相结合,MFO为先进制造业的多目标优化提供了有效的框架.
- 这些发现为提高AWJ加工过程的效率和质量提供了宝贵的见解.
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