数据-机理混合驱动下考虑刀具柔性的柔性加工工艺参数能效优化方法
A Data and Model Hybrid Driven Cutting Parameter Energy-efficiency Optimization Method for Flexible Machining Process Considering Cutting Tool Flexibility
赵希坤 1李聪波 1杨勇 2吕岩 3姜书艳2
作者信息
- 1. 重庆大学机械传动国家重点实验室 重庆 400044
- 2. 重庆机床(集团)有限责任公司 重庆 401336
- 3. 重庆工商大学机械工程学院 重庆 400067
- 折叠
摘要
在柔性加工过程中,加工任务不断变换导致加工刀具更换频繁,现有研究主要面向固定加工刀具开展工艺参数能效优化,无法快速响应加工刀具频繁更换的加工环境.为更好的满足变刀具条件下柔性加工工艺参数能效优化的需求,提出一种数据-机理混合驱动下考虑刀具柔性的柔性加工工艺参数能效优化方法.首先揭示变加工刀具条件下柔性加工能耗特性,构建数据-机理混合驱动的柔性加工能效优化模型,然后融合马尔科夫理论和优势动作评论算法,提出考虑刀具柔性的柔性加工工艺参数能效优化方法,最后通过案例分析与算法对比,验证所提出方法能在变刀具条件下实现柔性加工工艺参数的高效优化决策.
Abstract
The change of machining tasks leads to frequent replacement of cutting tools in the flexible machining process.The current studies mainly focus on cutting parameter energy-efficiency optimization based on fixed cutting tool,which cannot cope with the dynamic change of cutting tools.To meet the demand of energy efficiency optimization under the condition of multiple cutting tools,a data and model hybrid driven cutting parameter energy-efficiency optimization method considering cutting tool flexibility is proposed.Specifically,the correlation between the energy consumption and cutting parameters under the condition of multiple cutting tools is analyzed,and a data and model hybrid driven cutting parameter optimization model is formulated.Then,the cutting parameter energy-efficiency optimization method considering cutting tool flexibility is proposed based on Markov Decision theory and Advantage actor-critic algorithm.Finally,the proposed method is demonstrated by extensive comparative experiments,and the results show that the proposed optimization method can effectively carry out cutting parameter optimization adapted to the dynamic change of cutting tool.
关键词
柔性加工/能效优化/刀具柔性/工艺参数Key words
flexible machining/energy efficiency optimization/cutting tool flexibility/cutting parameter引用本文复制引用
基金项目
国家重点研发计划(2020YFE0201000)
国家自然科学基金(51975075)
重庆市技术创新与应用示范专项重点示范项目(cstc2018jszxcyzdX0183)
出版年
2024
NETL
NSTL
万方数据