Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process

被引：38

作者：

Ganjigatti, J. P. ^{[1
]}

Pratihar, Dilip Kumar ^{[1
]}

Choudhury, A. Roy ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Mech Engn, Kharagpur 721302, W Bengal, India

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2007年 / 189卷 / 1-3期

关键词：

regression analysis; global approach; cluster-wise regression; MIG welding; bead geometry;

D O I：

10.1016/j.jmatprotec.2007.02.006

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, an attempt is made to establish input-output relationships in MIG welding process through regression analyses carried out both globally (i.e., one set of response equations for the entire range of the variables) as well as cluster-wise. It is important to mention that the second approach makes use of the entropy-based fuzzy clusters. The investigation is based on the data collected through full-factorial design of experiments. Results of the above two approaches are compared and some concluding remarks are made. The cluster-wise regression analysis is found to perform a slightly better than the global approach in predicting weld bead-geometric parameters. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：352 / 366

页数：15