Application of Expert Methods for Predicting Liquidus Temperature of TIG Weldments

F. O. Uwoghiren, A. Ozigagun and Tunde Basit Adeleke
Additional contact information
F. O. Uwoghiren: Department of Production Engineering, University of Benin, Benin City, Edo State, Nigeria
A. Ozigagun: Department of Production Engineering, University of Benin, Benin City, Edo State, Nigeria
Tunde Basit Adeleke: Department of Production Engineering, University of Benin, Benin City, Edo State, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 5, 21-25

Abstract: Liquidus temperature is regarded as the minimum temperature required for an alloy to completely transform into the liquid state. Uncontrolled temperature leads to excessive heat generated in the material which create wider heat affected zone, alters the microstructure of the material and also induce residual stresses in the material. Optimizing this process is one sure way of producing a quality weld. In this study, the application of expert systems such as response surface method to optimize the liquidus temperature was pursued. The central composite design matrix was employed to collect data from the sets of experiments. The specimen was made from mild steel plates and welded with the tungsten inert gas process. The result of the response surface method shows that current has a very strong influence on the liquidus temperature. The model for optimizing liquidus temperature has a P-value

Keywords: Liduidus; RSM; TIG; Weld (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61263 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61263/12125 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:5:id:61263

DOI: 10.24018/ejeng.2019.4.5.1263

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().