Application of TOPSIS for the Optimal Welding Parameters Design of Aerospace Aluminum Alloy Thick Plate

Jhy-Ping Jhang (jpjhang@huafan.hfu.edu.tw) and Hung-shu Wu
Additional contact information
Jhy-Ping Jhang: Hua Fan University
Hung-shu Wu: Hua Fan University

Chapter Chapter 9 in Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 2013, pp 81-88 from Springer

Abstract: Abstract This research proposes an economic and effective experimental design method for multiple quality characteristics to deal with the parameter design problems that have many continuous parameters and levels. We use Taguchi experimental method, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and Cross analysis to find the optimal parameters combination for the weldment of thick aerospace aluminum alloy plates. The primitive results show the potential improvement over previous experimental methods. Because the model can learn the relationship between the welding parameters and the quality responses of different materials to facilitate the future applications in the decision-making of parameter settings for automatic welding equipment, it can also be presented to the relevant welding industries as a reference to improve the product quality and welding efficiency.

Keywords: TIG; TOPSIS; Aerospace aluminum alloy; Weldment; Taguchi method (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-642-33012-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783642330124

DOI: 10.1007/978-3-642-33012-4_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).