Intelligent Dynamic Roughness Identification Model in Grinding

被引：0
|
作者：
Ding, Ning [1 ]
Zhang, Dingtong [2 ]
He, Ye [1 ]
机构：
[1] Changchun Univ, Coll Mech Engn, Changchun, Peoples R China
[2] Agr Machine Inst, Changchun, Peoples R China
来源：
MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2 | 2011年 / 48-49卷
关键词：
identification; surface roughness; fuzzy neural network; vibration;
D O I：
10.4028/www.scientific.net/AMM.48-49.621
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：
In this paper, first, the relation between roughness and grinding parameters is built. Then, an intelligent dynamic identification model of surface roughness is developed, which bases on the theory of roughness during grinding and the theory of fuzzy-neural network. The inputs for the model are the grinding parameters. Besides, an accelerometer is used to gather the dynamic vibration signal in real time. The model was used in the external cylindrical grinding experiment, and the result verified that the proposed model was feasible.
引用
收藏
页码：621 / +
页数：2
相关论文
共 50 条
  • [1] Surface Roughness Intelligent Prediction on Grinding
    Zhang, Dingtong
    Ding, Ning
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 2166 - 2169
  • [2] On-line intelligent prediction model of surface roughness in cylindrical grinding
    Ding, N.
    Wang, L. S.
    Li, G. F.
    ADVANCES IN ABRASIVE MACHINING AND SURFACING TECHNOLOGIES, PROCEEDINGS, 2006, : 537 - +
  • [3] Study of intelligent prediction control of surface roughness in grinding
    Ding, N.
    Wang, L.S.
    Li, G.F.
    Key Engineering Materials, 2007, 329 : 93 - 98
  • [4] An intelligent system approach for surface roughness and vibrations prediction in cylindrical grinding
    Asilturk, Ilhan
    Tinkir, Mustafa
    El Monuayri, Hazim
    Celik, Levent
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2012, 25 (08) : 750 - 759
  • [5] Intelligent Modeling of Surface Roughness during Diamond Grinding of Advanced Ceramics
    Shrivastava, Pankaj Kumar
    Dubey, Avanish Kumar
    WORLD CONGRESS ON ENGINEERING, WCE 2011, VOL I, 2011, : 825 - 830
  • [6] Surface Roughness Prediction Model of Cylinder Grinding
    Ding, Ning
    Wang, Yichen
    Zhang, Dingtong
    Shi, Yuxiang
    Shi, Jian
    MECHATRONICS AND APPLIED MECHANICS, PTS 1 AND 2, 2012, 157-158 : 123 - +
  • [7] Surface roughness prediction model for ceramic grinding
    Agarwal, Sanjay
    Rao, P. Venkateswara
    MANUFACTURING ENGINEERING AND MATERIALS HANDLING, 2005 PTS A AND B, 2005, 16 : 1237 - 1245
  • [8] Research on Dynamic Intelligent Control System of Grinding Quality
    Jin, Jiaqi
    Jiang, Xingyu
    Zhang, Xinmin
    Wang, Wanshan
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 2192 - 2197
  • [9] Dynamic intelligent prediction control in slender cylindrical grinding
    Ding, Ning
    Li, Xiaomei
    Ding, Yuan
    Li, Guofa
    Wang, Longshan
    ADVANCES IN GRINDING AND ABRASIVE TECHNOLOGY XIV, 2008, 359-360 : 189 - +
  • [10] Determination of a dynamic grinding model
    Jenkins, HE
    Kurfess, TR
    Ludwick, SJ
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1997, 119 (02): : 289 - 293
12345