Global versus cluster-wise regression analyses for prediction of bead geometry in MIG welding process
✍ Scribed by J.P. Ganjigatti; Dilip Kumar Pratihar; A. Roy Choudhury
- Book ID
- 104023524
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 948 KB
- Volume
- 189
- Category
- Article
- ISSN
- 0924-0136
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✦ Synopsis
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.