Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis

By Yung Fa Hsiao, Yeong-Shin Tarng, W. J. Huang. 2007

186 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/34b4802efae4dff7fbf1a7c6100a51835dc7c94c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. N. Venkateshwaran
2. R. Elansezhian
3. G. Anand
4. N. Alagumurthi
5. K. Palanikumar
6. J. Paulo Davim
7. Chung-Chen Tsao
8. Hong Hocheng

In Mechanical Engineering

1. N. Venkateshwaran
2. R. Elansezhian
3. G. Anand
4. N. Alagumurthi
5. K. Palanikumar
6. J. Paulo Davim
7. B. Latha
8. V. S. Senthilkumar

Citations in the corpus

• Multiple process parameter optimization of wire electrical discharge machining on Inconel 825 using Taguchi grey relational analysis (2013, unknown): “[12] used the TM with GRA to optimize the plasma arc welding process.”
• Analysis on Drilling of Glass Fiber–Reinforced Polymer (GFRP) Composites Using Grey Relational Analysis (2012, methodology): “[13] have used Grey relational analysis for optimizing the plasma arc welding parameters.”
• Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models (2018, methodology): “The grey relational grade is effectively used to study the relationship between the sequences with limited data and it can be used to examine the number of factors [26].”