Prediction of Surface Roughness for HSM Based on BP Neural Network

被引：0
|
作者：
Chen, Ying [1 ]
Sun, Yanhong [1 ]
Yang, Zhenwen [1 ]
Wu, Guangdong [1 ]
机构：
[1] Jilin Engn Normal Univ, Coll Mech Engn, Changchun 130052, Jilin, Peoples R China
来源：
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND COMPUTER SCIENCE (ICEMC 2017) | 2017年 / 73卷
关键词：
Surface roughness; BP neural network; Cutting parametres; 5-axis machine; Toroidal cutter;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A predictive model is presented for the surface roughness in high-speed milling of P1.2738 (plastic die steel) based on BP Neural network. The data for establishing the model is derived from the experiment conducted on a high-speed 5-axis machining center by factorial design of experiments. Compared with measured data and data from regression analysis, the result of prediction using BP neural network indicates its feasibility, which provides reference for the optimization of cutting parameters.
引用
收藏
页码：421 / 424
页数：4
相关论文
共 50 条
  • [1] Prediction of surface roughness of difficult-to-cut material by HSM based on RBF neural network
    Zhanjie, Li
    Bing, Yan
    Meili, Tian
    6TH WSEAS INT CONF ON INSTRUMENTATION, MEASUREMENT, CIRCUITS & SYSTEMS/7TH WSEAS INT CONF ON ROBOTICS, CONTROL AND MANUFACTURING TECHNOLOGY, PROCEEDINGS, 2007, : 48 - +
  • [2] Research on Surface Roughness Prediction of Turning Parts Based on BP Artificial Neural Network
    Wang, Ping
    Zhang, Hui
    Ye, Peiqing
    Zhao, Tong
    Sun, Qi
    PROCEEDINGS OF THE 2ND INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION (IFMEITA 2017), 2017, 130 : 133 - 138
  • [3] Acoustic Emission Intelligent Prediction of Grinding Surface Roughness Based on BP Neural Network
    Guo, Li
    Ma, Yongfeng
    Wang, Yi
    Wang, Chong
    Liao, Zhenxing
    Li, Bo
    2020 3RD WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2020), 2020, : 373 - 376
  • [4] Surface Roughness Prediction Based on Surface Temperature and Tool Vibration Using BP Neural Network on Turning Machine
    Wang, Bin
    Wang, Dan-Gui
    Bi, Li-Ping
    Wang, Hui
    Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao, 2020, 41 (05): : 615 - 622
  • [5] Surface Roughness Prediction Based on Surface Temperature and Tool Vibration Using BP Neural Network on Turning Machine
    Wang, Bin
    Wang, Dan-Gui
    Bi, Li-Ping
    Wang, Hui
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2020, 41 (05): : 615 - 622
  • [6] Analysis and Prediction of Grind-Hardening Surface Roughness Based on Response Surface Methodology-BP Neural Network
    Wang, Chunyan
    Wang, Guicheng
    Shen, Chungen
    APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [7] Study on the Computing Method for Surface Roughness Coefficient Based on a BP Neural Network
    Liu, Rentai
    Zheng, Zhuo
    Li, Shucai
    Zhang, Qingsong
    GEO-CHINA 2016: NEW FRONTIERS IN CIVIL INFRASTRUCTURE, 2016, (267): : 158 - 165
  • [8] The Prediction of Surface Roughness of Parallel Machine Tools Based on the Neural Network
    Zhao, Changlong
    Guan, Xuesong
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 1328 - 1331
  • [9] Prediction of surface roughness based on feature selection-neural network
    Zhu J.
    Pu Y.
    Zhou R.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2020, 26 (12): : 3268 - 3273
  • [10] Study on Surface Settlement Prediction Technique Based on BP Neural Network
    Mo, Lianguang
    PROCEEDINGS 2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS ISDEA 2015, 2015, : 760 - 762
12345