摘要
进给速度工艺参数优化是实现数控智能加工环节中至为重要的一环,也是未来智能制造领域内亟需解决的关键性问题。针对数控加工中进给速度参数优化问题,整体上从以加工效率、加工质量、机床运行平稳性和恒定切削力为目标的进给参数离线优化、恒定切削力和恒定功率的自适应进给参数在线优化,和离线与在线联合应用3种优化方式角度,详细阐述了国内外学者对进给速度优化的研究现状和理论成果,总结了各种优化方法的应用效果和优势与缺点所在,并对工艺参数智能优化方法提出了几个代表性的突破方向和未来的发展趋势,以期能更好地实现数控系统的自主决策和智能优化,提高加工效率和加工质量,提升数控系统应用性能,推动自主化发展和智能制造的发展进程。
Feedrate optimization is an most important link in the realization of Computer Numerical Control(CNC)intelligent machining,and is also a key issue that needs to be solved urgently in the field of intelligent manufacturing in the future.In this paper,three optimization methods are discussed,which are off-line feedrate optimization with the goal of machining efficiency,machining quality,machine stability and constant cutting force,on-line adaptive feedrate optimization with constant cutting force and cutting power,and the integration of the two method.The current research status and theoretical achievements at home and abroad are summarized.The application effects,advantages and disadvantages of various optimization methods are reviewed.Then,several representative breakthrough research directions and future development trends are proposed for intelligent optimization of process parameters.We expect to better realize the independent decision-making and intelligent optimization of the CNC system,improve the processing efficiency and quality,improve the application performance of the CNC system,and promote the independent development and intelligent manufacturing.
作者
吴宝海
张阳
郑志阳
张莹
张思琪
WU Baohai;ZHANG Yang;ZHENG Zhiyang;ZHANG Ying;ZHANG Siqi(Key Laboratory of High Performance Manufacturing for Aero Engine,Ministry of Industry and Information Technology,Northwestern Polytechnical University,Xi'an 710072,China;Engineering Research Center of Advanced Manufacturing Technology for Aero Engine,Ministry of Education,Northwestern Polytechnical University,Xi'an 710072,China)
出处
《航空学报》
EI
CAS
CSCD
北大核心
2022年第4期79-98,共20页
Acta Aeronautica et Astronautica Sinica
基金
国家重点研发计划(2020YFB1710400)。
关键词
数控加工
进给速度
参数优化
自适应控制
智能优化算法
CNC machining
feedrate
parameter optimization
adaptive control
intelligent optimization algorithm
作者简介
通信作者:张莹.E-mail:zhangyingcdim@nwpu.edu.cn。
