摘要
研究基于非支配排序遗传算法(NSGA-II),构建了以最小化加工总能耗和加工总时间为目标的多目标优化模型,模型通过优化滚刀主轴转速、轴向进给速度和进给量等工艺参数,给出一套完整的数控滚齿加工工艺参数优化方案。同时,研究基于SQLite3数据库和Sinumerik Operate平台开发本多目标优化模型支持系统,结合实际加工约束条件进行实验验证。结果表明:多目标优化系统能有效降低加工总能耗或缩短加工总时间,其中协同优化方案在二者间实现了更优的平衡,具体表现为加工总能耗降低了19.4%,同时加工总时间缩短了8.0%。
The study,based on the Non-dominated Sorting Genetic Algorithm(NSGA-II),constructs a multi-objective optimization model aiming to minimize total machining energy consumption and total machining time;by optimizing process parameters such as hob spindle speed,axial feed rate,and feed amount,the model provides a complete set of CNC gear hobbing process parameter optimization schemes.Meanwhile,the study develops a support system for this multi-objective optimization model based on the SQLite3 database and Sinumerik Operate platform,and conducts experimental verification combined with actual machining constraints.The results show that the multi-objective optimization system can effectively reduce total machining energy consumption or shorten total machining time;among them,the collaborative optimization scheme achieves a better balance between the two,specifically manifested in a 19.4%reduction in total machining energy consumption and an 8.0%shortening in total machining time.
作者
高玮
芦晶晶
GAO Wei;LU Jingjing(China Aero Engine Harbin Dongan Engine Co.,Ltd.,Harbin 150000,China)
出处
《粘接》
2025年第11期194-197,共4页
Adhesion
关键词
多目标优化
数控滚齿加工技术
工艺参数
能耗与效率
multi-objective optimization
CNC gear hobbing technology
process parameter
energy consumption and efficiency
