Paper Title:
The Establishment of a Prediction Model for Surface Roughness in Ultrasonic-Assisted Turning
  Abstract

During experimentation, traditional Taguchi analysis often uses L18 or L27 orthogonal array, with a considerable number of test sequences for Run 18 or Run 27. Both are time-consuming and expensive. A progressive Taguchi-neural network model is proposed in this study, which combines the Taguchi method with a neural network construction, and can construct a prediction model for surface roughness in ultrasonic-assisted turning. According to the results, the Stage-1 initial-network, due to its limited number of network training examples, generates good predictive ability results for regions near Taguchi factor level points. For learning and training examples from regions farther out, prediction results are increasingly unreliable. Comparably, the Stage-3 precision-network generates the more reliable predictions for global regions.

  Info
Periodical
Chapter
Chapter 1: Computer-Aided Design, Manufacturing and Engineering
Edited by
Jiuba Wen, Fuxiao Chen, Ye Han and Huixuan Zhang
Pages
119-125
DOI
10.4028/www.scientific.net/AMM.120.119
Citation
C. B. Yang, C. S. Deng, H. L. Chiang, "The Establishment of a Prediction Model for Surface Roughness in Ultrasonic-Assisted Turning", Applied Mechanics and Materials, Vol. 120, pp. 119-125, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Bin Wang, Ji Shu Yin, Bing Huang Chen
Abstract:Discussed in detail using BP neural network to establish the quantitative relationship model between the process parameters and components...
737
Authors: Zhi Yong Li, Zong Wei Niu
Abstract:Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical...
418
Authors: Hui Zhen Yang, Wen Guang Zhao, Wei Chen, Xu Quan Chen
Chapter 8: System Modeling and Simulation
Abstract:Wavelet Neural Network (WNN) is a new form of neural network combined with the wavelet theory and artificial neural network. The wavelet...
4847
Authors: Feng Ge Li, Hong Yu
Chapter 2: Disaster Prevention and Reduction of Civil Engineering
Abstract:A new method to diagnose the damage of masonry structure using artificial network is brought forward. The frequencies and the ratio of change...
1148
Authors: Andrzej Metelski, Srecko Krile, Radoslaw W. Maruda, Stanislaw Legutko, Grzegorz M. Krolczyk
Chapter 1: Processes of Metal Machining
Abstract:The paper examines the influence of cutting parameters, namely cutting speed and feed rate on the tool life in machining process of...
66