基于多对称特征的零件装配效率预测模型
邱清盈,男,1970年出生,副教授。主要研究方向为结构设计与优化、创新设计。
E-mail:medesign@zju.edu.cn
戚玉轩(通信作者),男,1984年出生,博士。主要研究方向为设计方法学、结构对称设计、创新设计。
E-mail:qiyvxuan@zju.edu.cn
网络出版日期: 2017-07-05
基金资助
* 国家自然科学基金资助项目(51175455); 20160727收到初稿,20161225收到修改稿;
Part Assembly Efficiency Prediction Model Based on Multi-symmetry Features
邱清盈 , 戚玉轩 , 冯培恩 , 李立新 . 基于多对称特征的零件装配效率预测模型[J]. 机械工程学报, 2017 , 53(13) : 118 -124 . DOI: 10.3901/JME.2017.13.118
To study the influence of parts’ structure symmetry on assembly efficiency,grasping and orienting operations during parts’ assembling process are analyzed,and symmetry features within a part are separately considered and classified into contour and extra-orientation symmetry features. Taking the maximum possible rotating angle of a hexagonal prism part under three different assembling conditions as an example,the concept of total angle of correction (TAC) is proposed based on the existing concept of total angle of rotation (TAR). Using the existing experimental data,a part “symmetry-handling time” prediction model is proposed,which satisfies both the premise of “part’s assembly efficiency increases with its structure symmetry” and the four basic conditions. Four different parts assembly efficiencies are estimated using five different models,and comparing results show that the “symmetry-handling time” prediction model proposed fits the experimental data better and has better discriminability and credibility.
/
| 〈 |
|
〉 |