• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2019, Vol. 55 ›› Issue (17): 222-232.doi: 10.3901/JME.2019.17.222

• 制造工艺与装备 • 上一篇    

基于双砂轮架数控随动磨床的曲轴磨削加工过程优化

李静1,2, 朱凯1,2, 沈南燕1,2, 高华钰1,2, 吴洋1,2   

  1. 1. 上海大学机电工程与自动化学院 上海 200072;
    2. 上海大学上海市智能制造及机器人重点实验室 上海 200072
  • 收稿日期:2018-12-26 修回日期:2019-03-11 发布日期:2020-01-07
  • 通讯作者: 沈南燕(通信作者),女,1982年出生,博士,副教授,硕士研究生导师。主要研究方向为智能机床及磨削技术。E-mail:shny@shu.edu.cn
  • 作者简介:李静,女,1982年出生,博士,副教授,硕士研究生导师。主要研究方向为先进制造装备及磨削技术。E-mail:ian1982@shu.edu.cn
  • 基金资助:
    国家科技重大专项资助项目(2016ZX04004003)。

Optimization of Crankshaft Grinding Process Using CNC Tracing Grinding Machine with Double Grinding Carriages

LI Jing1,2, ZHU Kai1,2, SHEN Nanyan1,2, GAO Huayu1,2, WU Yang1,2   

  1. 1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072;
    2. Shanghai Key Lab of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200072
  • Received:2018-12-26 Revised:2019-03-11 Published:2020-01-07

摘要: 对汽车发动机曲轴生产线中双砂轮架数控随动磨床这一核心装备的曲轴磨削加工过程进行优化,通过合理规划双砂轮磨削工序,制定双砂轮维护策略,有效缩短加工耗时,降低生产成本。为了充分发挥双砂轮架系统独立随动的优势,将加工过程看作多旅行商问题,建立以单件曲轴平均加工耗时和磨削成本为优化目标,以生产节拍、磨床结构等为约束的加工过程优化模型。该模型除了砂轮档位磨削时间、砂轮移动时间和辅助时间以外,还考虑到生产线长期加工过程中修整砂轮时间和砂轮报废后更换时间,更加符合实际生产过程。针对由于磨床结构约束双砂轮不能始终同时磨削的情况,建立了允许某一个砂轮退回安全位等待的加工过程优化模型作为补充,使工艺优化具有更好的实用性。选择不同加工耗时和成本的权重设置,对某种规格曲轴进行双砂轮加工过程优化,将得到的最优加工方案与企业原有方案进行对比,验证了所提出模型的正确性及算法的有效性。

关键词: 非圆磨削, 工序优化, 多旅行商问题, 曲轴生产线, 改进遗传算法

Abstract: Based on CNC tracing grinding machine with double grinding carriages, which is the core equipment in the automobile engine crankshaft production line, a research on the optimization of crankshaft grinding process is made to shorten machining used time and reduce production cost through reasonable planning double grinding wheels' work steps and formulating maintenance strategies. To fully develop the advantage of double grinding carriages servo systems, regard the grinding process as a multiple travelling salesman problem, build the grinding process optimization model at which make average machining used time and production cost of single crankshaft as optimization target, use cycle time of production line and structure of grinding machine as restrain. This model still considers the time of dressing grinding wheels and replacing the scrap grinding wheels during long period grinding process in production line except the grinding time, the movement time and the auxiliary time, more according with actual situation. An additional optimization model which allows one of the grinding carriages return to safety position waiting is built as supplement when there is no feasible solution satisfying the condition that double grinding carriages always work simultaneously due to the structural constraints of grinding machine, making the technology has more practicability. The grinding process of a specific crankshaft is optimized under different sets of weights to obtain the corresponding optimal solutions. The correctness of the proposed model and the validity of the algorithm are verified by comparing the solutions before and after optimizing.

Key words: non-circular grinding, process optimization, multiple traveling salesman problem, crankshaft production line, improved genetic algorithm

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