Predicting surface roughness of hardened AISI 1040 based on cutting parameters using neural networks and multiple regression

被引：0
|
作者：
机构：
[1] Asiltürk, Ilhan
来源：
Asiltürk, I. (iasilturk@yahoo.com) | 1600年 / Springer London卷 / 63期
关键词：
17;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：1 / 4
相关论文
共 50 条
  • [1] Predicting surface roughness of hardened AISI 1040 based on cutting parameters using neural networks and multiple regression
    Asilturk, Ilhan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 63 (1-4): : 249 - 257
  • [2] Predicting surface roughness of hardened AISI 1040 based on cutting parameters using neural networks and multiple regression
    İlhan Asiltürk
    The International Journal of Advanced Manufacturing Technology, 2012, 63 : 249 - 257
  • [3] Optimization of cutting parameters with respect to roughness for machining of hardened AISI 1040 steel
    Sahinoglu, Abidin
    Rafighi, Mohammad
    MATERIALS TESTING, 2020, 62 (01) : 85 - 95
  • [4] Impact of cutting parameters and vibrations on surface roughness based on the linear multiple regression
    Kribes, N. r
    Ouelaa, N.
    Yallese, M. A.
    Belhadi, S.
    MATERIAUX & TECHNIQUES, 2007, 95 (03): : 197 - 203
  • [5] Neural network prediction of surface roughness in milling of AISI 1040 steel
    Topal, E. S.
    Sinanoglu, C.
    Gercekcioglu, E.
    Yildizli, K.
    JOURNAL OF THE BALKAN TRIBOLOGICAL ASSOCIATION, 2007, 13 (01): : 18 - 23
  • [6] Optimization of Cutting Parameters in Face Milling with Neural Networks and Taguchi based on Cutting Force, Surface Roughness and Temperatures
    Yalcin, Umit
    Karaoglan, Aslan Deniz
    Korkut, Ihsan
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (11) : 3404 - 3414
  • [7] OPTIMIZATION OF PROCESS PARAMETERS AFFECTING CUTTING FORCE, POWER CONSUMPTION AND SURFACE ROUGHNESS USING TAGUCHI-BASED GRAY RELATIONAL ANALYSIS IN TURNING AISI 1040 STEEL
    Akgun, Mahir
    SURFACE REVIEW AND LETTERS, 2022, 29 (03)
  • [8] 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):
  • [9] An investigation of cutting parameters effect on sound level, surface roughness, and power consumption during machining of hardened AISI 4140
    Sahinoglu, Abidin
    Ulas, Efehan
    MECHANICS & INDUSTRY, 2020, 21 (05)
  • [10] Experimental Investigation of the Effects of Cutting Tool Coating Materials on Surface Roughness in Machining of AISI 1040 Steel
    Habali, Kasim
    Gokkaya, Hasan
    Sert, Hasan
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2006, 9 (01): : 35 - 38
12345