摘要
在考虑刀具误差和本身尺寸误差导致加工后零件尺寸精度预测不符合实际使用要求情况的基础上,提出了一种耦合模糊区间和模糊权重的隶属函数模型,该模型考虑了加工过程中各种影响因素占比非固定的情况,还动态表征了多种影响因素在加工过程的贡献变化情况。此外,实际零件加工尺寸的大小多为模糊值,本文将零件尺寸视为一种可能性分布并结合模糊隶属函数构造了新的可靠性预测模型。将预测值与实验数据对比后发现,加工精度可靠性分析的准确度得到显著提升。
Based on the consideration of the tool error and its dimensional error,the dimensional accuracy prediction of the processed parts does not meet the actual use requirements,and a membership function model that couples fuzzy intervals and fuzzy weights is proposed.This model takes into account the fact that the proportion of various influencing factors in the processing process is not fixed,and it also dynamically characterizes the changes in the contribution of various influencing factors in the processing process.In addition,considering that the size of the actual part processing size is mostly fuzzy value,this paper regards the part size as a possibility distribution and constructs a new reliability prediction model combined with the fuzzy membership function.After comparing the predicted value with the experimental data,it is found that the accuracy of the reliability analysis of the machining accuracy has been significantly improved.
作者
刘新田
马牧洲
何佳龙
LIU Xin-tian;MA Mu-zhou;HE Jia-long(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;College of Mechanical and Aerospace,Jilin University,Changchun 130022,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2022年第2期377-383,共7页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金青年科学基金项目(51905209).
关键词
模糊区间耦合
模糊权重
动态权重
模糊可靠度预测
fuzzy interval coupling
fuzzy weights
dynamic weights
fuzzy reliability prediction
