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Intelligent design technology of automobile inspection tool based on 3D MBD model intelligent retrieval
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ( IF 1.5 ) Pub Date : 2021-03-02 , DOI: 10.1177/09544070211000174
Qi Cheng 1 , Shuchun Wang 1 , Xifeng Fang 1, 2
Affiliation  

The existing process equipment design resource utilization rate in automobile industry is low, so it is urgent to change the design method to improve the design efficiency. This paper proposed a fast design method of process equipment driven by classification retrieval of 3D model-based definition (MBD). Firstly, an information integration 3D model is established to fully express the product information definition and to effectively express the design characteristics of the existing 3D model. Through the classification machine-learning algorithm of 3D MBD model based on Extreme Learning Machine (ELM), the 3D MBD model with similar characteristics to the auto part model to be designed was retrieved from the complex process equipment case database. Secondly, the classification and retrieval of the model are realized, and the process equipment of retrieval association mapping with 3D MBD model is called out. The existing process equipment model is adjusted and modified to complete the rapid design of the process equipment of the product to be designed. Finally, a corresponding process equipment design system was developed and verified through a case study. The application of machine learning to the design of industrial equipment greatly shortens the development cycle of equipment. In the design system, the system learns from engineers, making them understand the design better than engineers. Therefore, it can help any user to quickly design 3D models of complex products.



中文翻译:

基于3D MBD模型智能检索的汽车检测工具智能设计技术。

汽车行业现有的工艺设备设计资源利用率低,迫切需要改变设计方法,以提高设计效率。本文提出了一种基于3D模型定义(MBD)分类检索的过程设备快速设计方法。首先,建立信息集成3D模型以充分表达产品信息定义并有效表达现有3D模型的设计特征。通过基于极限学习机(ELM)的3D MBD模型的分类机器学习算法,从复杂的过程设备案例数据库中检索出与要设计的汽车零件模型具有相似特征的3D MBD模型。其次,实现了模型的分类和检索,调出了具有3D MBD模型的检索关联映射的处理设备。调整和修改现有的过程设备模型,以完成要设计产品的过程设备的快速设计。最后,开发了相应的过程设备设计系统,并通过案例研究对其进行了验证。机器学习在工业设备设计中的应用大大缩短了设备的开发周期。在设计系统中,系统向工程师学习,使他们比工程师更了解设计。因此,它可以帮助任何用户快速设计复杂产品的3D模型。调整和修改现有的过程设备模型,以完成要设计产品的过程设备的快速设计。最后,开发了相应的过程设备设计系统,并通过案例研究对其进行了验证。机器学习在工业设备设计中的应用大大缩短了设备的开发周期。在设计系统中,系统向工程师学习,使他们比工程师更了解设计。因此,它可以帮助任何用户快速设计复杂产品的3D模型。调整和修改现有的过程设备模型,以完成要设计产品的过程设备的快速设计。最后,开发了相应的过程设备设计系统,并通过案例研究对其进行了验证。机器学习在工业设备设计中的应用大大缩短了设备的开发周期。在设计系统中,系统向工程师学习,使他们比工程师更了解设计。因此,它可以帮助任何用户快速设计复杂产品的3D模型。该系统向工程师学习,使他们比工程师更了解设计。因此,它可以帮助任何用户快速设计复杂产品的3D模型。该系统向工程师学习,使他们比工程师更了解设计。因此,它可以帮助任何用户快速设计复杂产品的3D模型。

更新日期:2021-03-02
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