Surface Roughness Prediction Model of Cylinder Grinding

Autor:	Ning Ding, Yu Xiang Shi, Jian Shi, Yi Chen Wang, Ding Tong Zhang
Rok vydání:	2012
Předmět:	Vibration Engineering business.industry Surface roughness Mechanical engineering Cylinder General Medicine Structural engineering Surface finish business Accelerometer Signal Grinding
Zdroj:	Applied Mechanics and Materials. :123-126
ISSN:	1662-7482
Popis:	Based on the theory of roughness during cylinder grinding and the theory of fuzzy-neural network, a surface roughness intelligent prediction model is developed in this paper. The feed, speed, and the vibration data are the inputs for the model. An accelerometer is used to gather the vibration signal in real time. The model is used in the grinding experiment, and verifies the feasibility of the proposed model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::08c9a1a858b1a9a1346b7fc5aaea8063 https://doi.org/10.4028/www.scientific.net/amm.157-158.123 Zobrazit plný text záznamu