使用PSO和TLBO框架对Hastelloy C276的加工参数进行数据驱动优化
Mosleh M Abualhaj1, B Venkatesh2, Kiran D Parmar3
1Department of Networks and Cybersecurity, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
Scientific reports
|January 15, 2026
概括
低温二氧化碳冷却显著提高了Hastelloy C276的可加工性,减少了表面粗性和切削力. 像粒子群优化 (PSO) 这样的进化优化算法进一步增强了这些可持续的加工策略.
科学领域:
- 材料科学 材料科学 材料科学
- 制造业 工程 制造工程
- 可持续的加工 可持续的加工
背景情况:
- 哈斯特洛伊C276是一种高性能合金,对航空航天和化学工业至关重要.
- 由于其优越的性能,由于其高强度和工件硬化,它面临着重大加工挑战.
- 可持续的加工实践越来越重要,以减少对环境的影响.
研究的目的:
- 在各种可持续的冷却/滑方法下,系统地研究Hastelloy C276的可加工性.
- 分析切割参数对表面粗度,切割力,刀具磨损和温度的影响.
- 使用先进的计算算法优化加工条件.
主要方法:
- 使用Taguchi L16直角阵列进行的实验.
- 测试的四个环境:干燥加工,最小滑量 (MQL),纳米增强的MQL (NMQL) 和冷CO2 (CCO2).
- 差异分析 (ANOVA) 用于确定参数意义;粒子群优化 (PSO) 和基于教学学习的优化 (TLBO) 用于优化.
主要成果:
- 与干燥加工相比,冷CO2冷却可以将表面粗度和切削力降低30-40%.
- 在冷却CO2下观察到的工具磨损和切割温度的显著降低.
- 料速度和切割速度被确定为对表面粗度和温度最有影响的参数.
- 公用事业单位的优化成功率 (83.6%) 比TLBO (79.1%) 高.
结论:
- 低温CO2辅助加工提供了一种有效和可持续的策略,可以提高Hastelloy C276的可加工性.
- 通过增强滑,NMQL提供了适度的好处.
- 进化优化算法是确定具有挑战性的合金最佳加工参数的宝贵工具.
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