Concept design of checking fixture for auto-body parts based on neural networks

Autor:	Lai Xin-min, Lin Zhong-qin, Hu Cai-qi
Rok vydání:	2005
Předmět:	Engineering drawing Engineering Artificial neural network business.industry Mechanical Engineering Process (computing) Control engineering CAD Fixture Industrial and Manufacturing Engineering Computer Science Applications Control and Systems Engineering Domain knowledge business Software
Zdroj:	The International Journal of Advanced Manufacturing Technology. 30:574-577
ISSN:	1433-3015 0268-3768
Popis:	The concept design of checking fixtures for auto-body parts is a highly complex process that requires a human designer to draw from his rich experience. By exploiting recent advances in CAD/CAM and artificial intelligence techniques, one may constrain multiple solutions such that only good designs are considered. In this paper, a method of selecting type for checking fixtures is proposed that harnesses advantages of neural networks. This method attempts to capture relevant domain knowledge and is used to produce acceptable solutions. The method is applied to a case problem and the suggested checking fixture type is compared to one offered by a human designer. The agreement between the two solutions is very close.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::61dc74c483eff3531cac6d3da7da0217 https://doi.org/10.1007/s00170-005-0039-4 Zobrazit plný text záznamu Full text from SpringerLink