Symmetric Fuzzy Prediction of Cutting Force Uncertainty Based on Maximum-Minimum and Mean Values

Abstract:

Article Preview

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 and 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

Authors:

Export:

Price:

$35.00

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

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