数控铣削加工参数离线–在线优化研究及应用
Research and Application of Off-Online Optimization of CNC Machining Parameter
DOI: 10.12677/MET.2020.91002, PDF,   
作者: 刘恒丽*, 王 勇：天津商业大学，天津；董靖川：天津大学，天津；刘日鑫：河北师范大学，河北 石家庄
关键词: 离线–在线优化；自适应控制；进给速度；切削力；Off-Online Optimization； Adaptive Control； Feed Rate； Cutting Force
摘要: 针对数控加工参数优化问题，提出了离线优化与在线自适应控制相结合策略，形成了离线–在线优化方法并开发相应的系统。首先通过基于Pareto遗传算法和TRIZ理论的离线优化得到加工参数最优解；在此基础上，基于自适应控制系统，在线调整进给速度，以电流作为反馈量来控制切削力，使得切削力保持在设定值，实现无论切削条件怎样变化，都能通过在线调整进给速度尽快稳定切削力，保证切削过程稳定性的目的；最后通过实验验证方案的有效性和可行性。
Abstract: This electronic document defines the standard format of the Chinese academic journals published. Aiming at the NC machining parameters optimization, a strategy is proposed combining off-line optimization with on-line adaptive control, and an off-online optimization method is formed and the corresponding system is developed. First, the optimal solution of machining parameters is obtained by off-line optimization based on Pareto genetic algorithm and TRIZ theory. On this basis, feed speed is adjusted online and current is used as feedback to control cutting force based on adaptive control system, and cutting force can be kept at a set value. No matter how cutting conditions change, cutting force can be stabilized as soon as possible by adjusting feed speed online, and the cutting process stability can be ensured. Finally, the effectiveness and feasibility of the scheme are verified by experiments.
文章引用：刘恒丽, 王勇, 董靖川, 刘日鑫. 数控铣削加工参数离线–在线优化研究及应用[J]. 机械工程与技术, 2020, 9(1): 13-25. https://doi.org/10.12677/MET.2020.91002

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