Application of response surface methodology in surface roughness prediction model and parameter optimization

被引：0
|
作者：
Zhang, Hong-Zhou [1 ]
Ming, Wei-Wei [1 ]
An, Qing-Long [1 ]
Chen, Ming [1 ]
Rong, Bin [2 ]
Han, Bing [2 ]
机构：
[1] School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
[2] Shanghai Aircraft Manufacturing Co. Ltd, Shanghai 200436, China
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2010年 / 44卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：447 / 451
相关论文
共 50 条
  • [31] Surface Roughness Prediction Model in Machining of 34CrMo4 Steel with Several Tools Using Response Surface Methodology
    Barghikar, Hamed
    Poursafar, Amin
    Amrollahi, Abbas
    MATERIALS AND MANUFACTURING TECHNOLOGIES XIV, 2012, 445 : 90 - +
  • [32] Application of box-Behnken design and response surface methodology for surface roughness prediction model of CP-TI powder metallurgy components through WEDM
    Das A.
    Sarkar S.
    Karanjai M.
    Sutradhar G.
    Journal of The Institution of Engineers (India): Series D, 2018, 99 (1) : 9 - 21
  • [33] PREDICTION OF SURFACE ROUGHNESS IN END MILLING OPERATION OF DUPLEX STAINLESS STEEL USING RESPONSE SURFACE METHODOLOGY
    Philip, S. D.
    Chandramohan, P.
    Rajesh, P. K.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2015, 10 (03) : 340 - 352
  • [34] Optimization of stir casting process parameter using response surface methodology
    Senthilkumar, K. M.
    Sivakumar, A.
    Shivaji, Rohokale Milind
    Tamang, S. K.
    Giriraj, M.
    JOURNAL OF CERAMIC PROCESSING RESEARCH, 2022, 23 (02): : 233 - 236
  • [35] Pyrolysis of pine needles: Parameter optimization using response surface methodology
    Omvesh
    Jindal, Meenu
    Thallada, Bhaskar
    Palla, Venkata Chandra Sekhar
    BIORESOURCE TECHNOLOGY REPORTS, 2023, 22
  • [36] Surface roughness analysis and optimization for the CNC milling process by the desirability function combined with the response surface methodology
    Esme, Ugur
    MATERIALS TESTING, 2015, 57 (01) : 64 - 71
  • [37] Modeling and Optimization of Tool Wear and Surface Roughness in Turning of Al/SiCp Using Response Surface Methodology
    Laghari, Rashid Ali
    Li, Jianguang
    Xie, Zhengyou
    Wang, Shu-qi
    3D RESEARCH, 2018, 9 (04)
  • [38] Surface Roughness Model for Helical Milling of Die-steel Based on Response Surface Methodology
    Qin, Xuda
    Hua, Song
    Ji, Xiaolai
    Chen, Shimao
    Ni, Wangyang
    MACHINING AND ADVANCED MANUFACTURING TECHNOLOGY X, 2010, 431-432 : 346 - 350
  • [39] Analysis and optimization of surface roughness in the ball burnishing process using response surface methodology and desirabilty function
    Sagbas, Aysun
    ADVANCES IN ENGINEERING SOFTWARE, 2011, 42 (11) : 992 - 998
  • [40] Prediction model and optimization of energy consumption, cutting force, and surface roughness during machine tool cutting process based on high-order response surface methodology
    Du, Jidong
    Wang, Yan
    Zhou, Xuede
    Ji, Zhicheng
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (07)
12345