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作 者:李静[1] 高华钰 沈南燕[1] 方明伦[1] 朱凯 LI Jing;GAO Huayu;SHEN Nanyan;FANG Minglun;ZHU Kai(Shanghai Key Lab of Intelligent Manufacturing and Robotics,Shanghai University,Shanghai 200072)
机构地区:[1]上海大学上海市智能制造及机器人重点实验室,上海200072
出 处:《机械工程学报》2021年第5期185-195,共11页Journal of Mechanical Engineering
基 金:国家科技重大专项资助项目(2016ZX04004003)。
摘 要:面向机床精密主轴加工过程,对混合流水生产调度问题进行研究。通过深入分析机床精密主轴加工工艺流程,以主轴粗精磨削工艺、分批规则、设备利用率等作为约束条件,以加工时间最小化为目标,建立混合流水生产模式下、机床精密主轴加工智能分批调度模型,并设计了基于差分进化-遗传混合算法的二阶段优化算法对模型进行求解;以某精密主轴生产线的实际订单为例进行仿真实验,与传统加工方案及其他典型分批调度算法对比分析,验证了该智能分批调度模型的有效性、算法的准确性及解决实际问题的优越性,能够有效缩短生产节拍,提高加工效率和设备利用率。Faced machine tool precision spindle Processing,the production scheduling problems with hybrid flow job is studied.Firstly,Through analyzing the machine precision spindle machining process,an intelligent batch scheduling model of hybrid production line is built,with factors of the spindle grinding process,batching rules and equipment utilization etc.,as restriction conditions,minimizing the total machining time and so on.Then,a two-stage optimization algorithm based on differential evolution algorithm and genetic algorithm is designed to solve the model.The actual experiment of a precision spindle production line is taken as an example to experiment,and compared with traditional processing schemes and another typical batch scheduling schemes.The result shows the effectiveness of the intelligent batch scheduling model,the accuracy and the superiority in solving practical problems of the algorithm,which can effectively shorten the production cycle and improve the processing efficiency and equipment utilization.
关 键 词:机床精密主轴 混合生产线 智能调度 批次划分 排序优化
分 类 号:TP181[自动化与计算机技术—控制理论与控制工程]
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