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Paper Title
Optimization and Prediction Of MIG Welding Process Parameters Using ANN
  Jigar Shah,  Gaurav Patel,  Jatin Makwana

Welding is widely used by manufacturing engineers and production personnel to quickly and effectively set up manufacturing processes for new products. The MIG welding parameters are the most important factors affecting the quality, productivity and cost of welding. This paper presents the influence of welding parameters like welding current, welding voltage, Gas flow rate, wire feed rate, etc. on weld strength, ultimate tensile strength, and hardness of weld joint, weld pool geometry of various metal material during welding. By using DOE method, the parameters can be optimize and having the best parameters combination for target quality. The analysis from DOE method can give the significance of the parameters as it give effect to change of the quality and strength of product.

Keywords- Optimization, MIG Welding, ANN, GA
Publication Details
Unique Identification Number - IJEDR1702233
Page Number(s) - 1487-1492
Pubished in - Volume 5 | Issue 2 | May 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Jigar Shah,  Gaurav Patel,  Jatin Makwana,   "Optimization and Prediction Of MIG Welding Process Parameters Using ANN", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1487-1492, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702233.pdf
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