Surface Roughness Prediction in Turning of Free Machining Steel 1215 by Artificial Neural Network

被引：1
|
作者：
Cai, X. J. [1 ]
Liu, Z. Q. [1 ]
Wang, Q. C. [1 ]
Han, S. [1 ]
An, Q. L. [1 ]
Chen, M. [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
来源：
HIGH SPEED MACHINING | 2011年 / 188卷
关键词：
Surface roughness; Artificial neural network (ANN); Free machining steel;
D O I：
10.4028/www.scientific.net/AMR.188.535
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Surface roughness is a significant aspect of the surface integrity concept. It is efficient to predict the surface roughness in advance by a prediction model. In this study, artificial neural network is used to model the surface roughness in turning of free machining steel 1215. The inputs considered in the prediction ANN model were cutting speed, feed rate and depth of cut, and the output was R-a. Several feed-forward neural networks with different architectures were compared in terms of prediction accuracy, and then the best prediction model, a 3-4-1-1 ANN was capable of predicting R-a with a mean squared error 5.46%, was presented.
引用
收藏
页码：535 / 541
页数：7
相关论文
共 50 条
  • [21] Surface roughness prediction in machining of cast polyamide using neural network
    Serhat Yilmaz
    A. Armagan Arici
    Erol Feyzullahoglu
    Neural Computing and Applications, 2011, 20 : 1249 - 1254
  • [22] Prediction of surface roughness in duplex stainless steel face milling using artificial neural network
    Vasconcelos, Guilherme Augusto Vilas Boas
    Francisco, Matheus Brendon
    da Costa, Lucas Ribeiro Alves
    Ribeiro Junior, Ronny Francis
    Melo, Mirian de Lourdes Noronha Motta
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 133 (5-6): : 2031 - 2048
  • [23] Influence of surface roughness in turning process - an analysis using artificial neural network
    Krishnan, B. Radha
    Vijayan, V.
    Pillai, T. Parameshwaran
    Sathish, T.
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2019, 43 (04) : 509 - 514
  • [24] Application Of Regression And Artificial Neural Network Analysis In Modelling Of Surface Roughness In Hard Turning Of AISI 52100 Steel
    Paturi, Uma Maheshwera Reddy
    Devarasetti, Harish
    Narala, Suresh Kumar Reddy
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 4766 - 4777
  • [25] Surface Roughness Prediction using Artificial Neural Network in Hard Turning of AISI H13 Steel with Minimal Cutting Fluid Application
    Beatrice, B. Anuja
    Kirubakaran, E.
    Thangaiah, P. Ranjit Jeba
    Wins, K. Leo Dev
    12TH GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT (GCMM - 2014), 2014, 97 : 205 - 211
  • [26] The Effect of Artificial Neural Network Architecture on Surface Roughness Parameter Prediction Capability when Turning Inconel 718
    Vrabeľ M.
    Maňková I.
    Paľo M.
    Lattner R.
    Vrabeľ, Marek (marek.vrabel@tuke.sk), 2016, Jan-Evangelista-Purkyne-University (16): : 54
  • [27] 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
  • [28] 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
  • [29] Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models
    Davim, J. Paulo
    Gaitonde, V. N.
    Karnik, S. R.
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 205 (1-3) : 16 - 23
  • [30] Surface roughness prediction in CNC end milling machining using artificial neural networks
    Chang, Ming-Kun
    Chang, Wen-Jie
    ICIC Express Letters, Part B: Applications, 2016, 7 (04): : 759 - 764
12345