Intelligent Prediction for Surface Roughness of CNC Surface Grinding Machine Tool Based on Bayesian Network

Autor:	Xiao Lei Deng, Jianzhong Fu, Yong He, Hui Feng Jiao
Rok vydání:	2010
Předmět:	Surface (mathematics) business.product_category Computer science Surface grinding Process (computing) Surface roughness Bayesian network Mechanical engineering General Medicine business Grinding Machine tool
Zdroj:	Applied Mechanics and Materials. :584-588
ISSN:	1662-7482
Popis:	Surface roughness is the most important index of product surface in grinding. Bayesian network model was built about process parameters and surface roughness. The network parameters were learned by grinding workpieces with a CNC surface grinding machine tool. The experiments for giving grinding parameters on Bayesian network prediction model have shown good results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d60d3b99e116d767718a4eff448aa702 https://doi.org/10.4028/www.scientific.net/amm.37-38.584 Zobrazit plný text záznamu