Paper Title:
Symmetric Fuzzy Prediction of Cutting Force Uncertainty Based on Maximum-Minimum and Mean Values
  Abstract

In this paper, on the basis of the conception of symmetric fuzzy number and linear planning theory as well as the maximum-minimum and mean values of the measured cutting force, two fuzzy prediction models of cutting force uncertainty are constructed. The test results show that the proposed fuzzy models can validly predict the variation ranges of cutting force uncertainty for the given cutting conditions, and better express the uncertainty of cutting force than the empirical model from the least square regression.

  Info
Periodical
Materials Science Forum (Volumes 471-472)
Edited by
Xing Ai, Jianfeng Li and Chuanzhen Huang
Pages
335-338
DOI
10.4028/www.scientific.net/MSF.471-472.335
Citation
W.P. Wang, K.S. Hu, "Symmetric Fuzzy Prediction of Cutting Force Uncertainty Based on Maximum-Minimum and Mean Values", Materials Science Forum, Vols. 471-472, pp. 335-338, 2004
Online since
December 2004
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