Investigation of Surface Roughness during Turning Process Based on Response Surface Methodology

被引：1
|
作者：
Han, S. [1 ]
An, Q. L. [1 ]
Chen, M. [1 ]
Liu, G. [2 ]
Zhang, Y. S. [3 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] Shanghai Tool works Co LTD, Shanghai 200093, Peoples R China
[3] Changchun FAW Tool & Equipment Co Ltd, Changchun, Peoples R China
来源：
SURFACE FINISHING TECHNOLOGY AND SURFACE ENGINEERING II | 2010年 / 135卷
基金：
中国国家自然科学基金;
关键词：
Mathematical model; Surface roughness; RSM; Central composite design; TAGUCHI; PARAMETERS; DESIGN;
D O I：
10.4028/www.scientific.net/AMR.135.243
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The purpose of this study was to analyze the effects of cutting parameters on the surface roughness (R-a) when turning of alloy cast iron using uncoated carbide insert under dry cutting condition. The mathematical model for the surface roughness was developed by response surface methodology (RSM).Response surface contours were constructed and used for determining the optimum cutting conditions to reduce machining time without increasing the surface roughness.
引用
收藏
页码：243 / +
页数：2
相关论文
共 50 条
  • [1] Optimization of Cutting Parameters on Turning Process Based on Surface Roughness using Response Surface Methodology
    Yusuf, Muhammad
    Ariffin, M. K. A.
    Ismail, N.
    Sulaiman, S.
    MATERIALS AND COMPUTATIONAL MECHANICS, PTS 1-3, 2012, 117-119 : 1561 - 1565
  • [2] Surface roughness robustness analysis for turning operations based on response surface methodology
    College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China
    不详
    Tang, D. (d.tang@nuaa.edu.cn), 1600, Nanjing University of Aeronautics an Astronautics (44):
  • [3] Experimental investigation during turning process of titanium material for surface roughness
    Thirumalai, R.
    Techato, Kuaanan
    Chandrasekaran, M.
    Venkatapathy, K.
    Seenivasan, M.
    MATERIALS TODAY-PROCEEDINGS, 2021, 45 : 1423 - 1426
  • [4] A neural-network-based methodology for the prediction of surface roughness in a turning process
    Kohli, A
    Dixit, US
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2005, 25 (1-2): : 118 - 129
  • [5] A neural-network-based methodology for the prediction of surface roughness in a turning process
    A. Kohli
    U.S. Dixit
    The International Journal of Advanced Manufacturing Technology, 2005, 25 : 118 - 129
  • [6] Prediction of Surface Roughness in Turning of EN 353 Using Response Surface Methodology
    Bhuvnesh Bhardwaj
    Rajesh Kumar
    Pradeep K. Singh
    Transactions of the Indian Institute of Metals, 2014, 67 : 305 - 313
  • [7] Prediction of Surface Roughness in Turning of EN 353 Using Response Surface Methodology
    Bhardwaj, Bhuvnesh
    Kumar, Rajesh
    Singh, Pradeep K.
    TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2014, 67 (03) : 305 - 313
  • [8] An experimental investigation for the improvement of attainable surface roughness during hard turning process
    Rashid, Waleed B.
    Goel, Saurav
    Luo, Xichun
    Ritchie, James M.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2013, 227 (B2) : 338 - 342
  • [9] Experimental Investigation of Surface Roughness in Electrical Discharge Turning Process
    Gohil, Vikas
    Puri, Y. M.
    PROCEEDINGS OF THE 19TH INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2016), 2016, 1769
  • [10] Application of Taguchi and Response Surface Methodology (RSM) in Steel Turning Process to Improve Surface Roughness and Material Removal Rate
    Prasath, Manikanda K.
    Pradheep, T.
    Suresh, S.
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (11) : 24622 - 24631
12345