The Method of Machining Process Parameter Generation Based on MBD

被引:3
|
作者
Ding, Pengpeng [1 ]
Zheng, Xiaohu [1 ]
Zhang, Jie [1 ]
Liu, Shimin [1 ]
Ren, Changwei [1 ]
机构
[1] Donghua Univ, Coll Mech Engn, Shanghai 201620, Peoples R China
来源
2018 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND TECHNOLOGIES (AIAAT 2018) | 2018年 / 435卷
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
D O I
10.1088/1757-899X/435/1/012048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The steering engine room is one of the key structural components of the carrier rocket. It has many types of parts features and a large number of process parameters. Moreover, it needs a long processing cycle. The processing parameters are generally set manually by the technicians based on experience, and the design information obtained from the parts cannot directly provide a reference for the generation of subsequent process parameters. In order to correlate the non-geometric information extracted from the MBD (Model Based Definition) model with the process parameters generation process and make the MBD model run through the entire process parameter generation process, a method of process parameter generation based on MBD is proposed in this paper. The feature information of MBD model can be identified with feature recognition algorithm. The non-geometric information of MBD model can be extracted by information extraction algorithm. In addition, processing parameters can be generated automatically by using BP neural network according to the acquired information. This method can shorten the generation time of the entire process parameters, reduce the production cycle and increase the production efficiency.
引用
收藏
页数:9
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