Surface Roughness Prediction Model of Cylinder Grinding

被引：1
|
作者：
Ding, Ning [1 ]
Wang, Yichen [2 ]
Zhang, Dingtong [3 ]
Shi, Yuxiang [1 ]
Shi, Jian [4 ]
机构：
[1] Changchun Univ, Mech Engn Coll, Changchun 130022, Peoples R China
[2] Jilin Univ, Sch Biol & Agr Engn, Changchun 130021, Peoples R China
[3] Jilin Province Agri Machine Res Inst, Changchun 130023, Peoples R China
[4] Changchun Univ Sci & Technol, Mech Engn Coll, Changchun 120032, Peoples R China
来源：
MECHATRONICS AND APPLIED MECHANICS, PTS 1 AND 2 | 2012年 / 157-158卷
关键词：
grinding; surface roughness; prediction; fuzzy neural network; vibration;
D O I：
10.4028/www.scientific.net/AMM.157-158.123
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：123 / +
页数：2
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