Paper Title:
Prediction of Weld Bead Dilution in GMAW Process Using Fuzzy Logic
  Abstract

Gas metal arc welding is one of the most important arc welding processes used in manufacturing and repair. In this process selecting appropriate values for process variables is essential in order to decide upon metal transfer and subsequently control the heat input into the workpiece from which reliable predictions could be made about the metallurgical, mechanical properties and performance of the welded joints. In this paper, the welding dilution in gas metal arc welding of ST37 steel has been predicted by fuzzy logic. A five level five factor rotatable central composite design was used to collect the welding data and the weld dilution was modeled as a function of wire feed rate, welding voltage, nozzle-to-plate distance, welding speed and gas flow rate.

  Info
Periodical
Chapter
Chapter 15: Meso/Micro Manufacturing Equipment and Processes
Edited by
Wu Fan
Pages
3171-3175
DOI
10.4028/www.scientific.net/AMM.110-116.3171
Citation
M. Aghakhani, M. M. Jalilian, A. Karami, "Prediction of Weld Bead Dilution in GMAW Process Using Fuzzy Logic", Applied Mechanics and Materials, Vols. 110-116, pp. 3171-3175, 2012
Online since
October 2011
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Price
$32.00
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