基于混合推理的切削参数优选系统开发  

Development of Cutting Parameter Data Optimization System Based on Hybrid Inference

作　　者：官俊楠 吴磊 周鑫 孙玉文[1] 徐金亭[2] GUAN Junnan;WU Lei;ZHOU Xin;SUN Yuwen;XU Jinting(School of Mechanical Engineering,Dalian University of Technology,Dalian Liaoning 116024,China;School of Automotive Engineering,Dalian University of Technology,Dalian Liaoning 116024,China;AECC Shenyang Liming Aero-Engine Co.,Ltd.,Shenyang Liaoning 110043,China)

机构地区：[1]大连理工大学机械工程学院,辽宁大连116024 [2]大连理工大学汽车工程学院,辽宁大连116024 [3]中国航发沈阳黎明航空发动机有限责任公司,辽宁沈阳110043

出　　处：《机床与液压》2023年第7期8-13,共6页Machine Tool & Hydraulics

基　　金：国家重点研发计划资助项目(2020YFA0713702);国家自然科学基金资助项目(51975097)。

摘　　要：针对现有航空发动机结构件切削加工参数数据库数据分散、针对性和准确性不强等问题,通过分析航空发动机结构件的加工工艺,提炼出影响切削加工参数选择的主要因素;据此,建立适用于航空发动机结构件加工的切削参数数据库系统,提出一种基于规则混合推理的加工参数智能优选方法;进而利用NX二次开发技术,开发出基于混合推理的切削参数优选系统,实现了切削参数的自动加载,从而有效减轻工艺人员设计负担,提高零件编程效率。最后,在航空发动机典型结构件上验证了所开发系统的有效性。Aiming at the existing problems of scattered distribution of related cutting parameters,probable inapplicability and mismatch of involved cutting database when structural parts in the field of aerospace are to be machined,main factors that may leaded to different cutting parameter determination and thus resulted in different cutting finish were firstly found by focusing on various effects of related processing technology.Then,a novel intelligent cutting database system was established based on a hybrid rule-based reasoning strategy,which was suitable for cutting parameter optimization when machining the structural parts.Furthermore,by means of hybrid rule-based reasoning and NX secondary development technology,the cutting database system was established,by which the cutting parameters could be intelligently selected and automatically loaded.Therefore,the burden of technologists is effectively eased and thus relatively high programming efficiency can also be achieved.Finally,effectiveness of the developed technique is validated via its application onto the programming process of a typical parts of aeroengine.

关 键 词：加工参数库 混合推理 NX二次开发 

分 类 号：TH164[机械工程—机械制造及自动化]