An in-process neural network-based surface roughness prediction (INN-SRP) system using a dynamometer in end milling operations

被引：55
|
作者：
J.C. Chen
B. Huang
机构：
[1] Huang, B.
[2] Chen, J.C.
来源：
Chen, J.C. (cschen@iastate.edu) | 1600年 / Springer-Verlag London Ltd卷 / 21期
关键词：
End milling - In-process neural network-based surface roughness prediction;
D O I：
10.1007/s001700300039
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：339 / 347
页数：8
相关论文
共 50 条
  • [31] Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
    Wu, T. Y.
    Lei, K. W.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 102 (1-4): : 305 - 314
  • [32] Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations
    Huang, Bernie P.
    Chen, Joseph C.
    Li, Ye
    NEUROCOMPUTING, 2008, 71 (4-6) : 544 - 549
  • [33] Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm
    Oktem, H
    Erzurumlu, T
    Erzincanli, F
    MATERIALS & DESIGN, 2006, 27 (09): : 735 - 744
  • [34] In-process surface roughness prediction system using cutting vibrations in turning
    D. R. Salgado
    F. J. Alonso
    I. Cambero
    A. Marcelo
    The International Journal of Advanced Manufacturing Technology, 2009, 43 : 40 - 51
  • [35] In-process surface roughness prediction system using cutting vibrations in turning
    Salgado, D. R.
    Alonso, F. J.
    Cambero, I.
    Marcelo, A.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 43 (1-2): : 40 - 51
  • [36] Prediction and Analysis of the Surface Roughness in CNC End Milling Using Neural Networks
    Chen, Cheng-Hung
    Jeng, Shiou-Yun
    Lin, Cheng-Jian
    APPLIED SCIENCES-BASEL, 2022, 12 (01):
  • [37] Correction to: Prediction of surface roughness in milling process using vibration signal analysis and artificial neural network
    T. Y. Wu
    K. W. Lei
    The International Journal of Advanced Manufacturing Technology, 2019, 102 : 315 - 315
  • [38] Surface roughness prediction of end milling process based on IPSO-LSSVM
    Duan, Chunzheng
    Hao, Qinglong
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2014, 8 (03):
  • [39] Prediction of Surface Roughness Based on Cutting Parameters and Machining Vibration in End Milling Using Regression Method and Artificial Neural Network
    Lin, Yung-Chih
    Wu, Kung-Da
    Shih, Wei-Cheng
    Hsu, Pao-Kai
    Hung, Jui-Pin
    APPLIED SCIENCES-BASEL, 2020, 10 (11):
  • [40] Prediction of end milling process parameters using artificial neural network
    Parmar, Jignesh G.
    Dave, K. G.
    Gohil, A., V
    Trivedi, H. S.
    MATERIALS TODAY-PROCEEDINGS, 2021, 38 : 3168 - 3176
12345