The Method of Machining Process Parameter Generation Based on MBD

2018 2nd International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Ding, Pengpeng^1 ; Zheng, Xiaohu^1 ; Zhang, Jie^1 ; Liu, Shimin^1 ; Ren, Changwei^1

College of Mechanical Engineering, Donghua University, Shanghai

201620, China^1

关键词: Feature information;    Feature recognition;    Geometric information;    Machining process parameters;    Model-based definitions;    Processing parameters;    Production efficiency;    Structural component;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/435/1/012048/pdf
DOI  :  10.1088/1757-899X/435/1/012048

学科分类：计算机科学（综合）

来源: IOP

【 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.