基于三维零件特征提取的装配过程质量缺陷率预测  

Assembly Process Quality Defect Prediction Based on Three-dimensional Feature Extraction

作　　者：居桦[1] 奚斌[1] 雷自力[1] 

机构地区：[1]华中科技大学机械科学与工程学院,湖北武汉430074

出　　处：《信阳师范学院学报（自然科学版）》2011年第3期337-341,共5页Journal of Xinyang Normal University(Natural Science Edition)

摘　　要：对传统单工位装配复杂度质量预测理论进行了研究,结合机械行业自身特点,总结了与复杂度理论相关的参数量,并对其权重进行了分析.基于该理论,引入了三维特征提取与专家系统相结合的模式,在UG三维建模的环境下,直接获取复杂度参数值,实现了在设计阶段对装配过程质量缺陷率的自动预测,并分析该缺陷率是否符合3σ质量标准.The complexity of the traditional assembly quality prediction theory in mechanical industry was investigated according to the characteristics of the industry.We also summarized the parametric reference to the complexity theory and analyzed their weights.Based on complexity theory,a three-dimensional feature extraction and a combination of expert system model were introduced.In the UG environment of three-dimensional modeling,we directly got the complex parameter values to achieve the automatic assembly process quality defect prediction in the design stage,and analyzed whether the defect rate 3σ quality standards to guide the process of product design and production.

关 键 词：装配复杂度 缺陷预测 UG二次开发 特征提取 

分 类 号：TH164[机械工程—机械制造及自动化]