Optimization of Process Parameters in Submerged Arc Welding Using Multi-objectives Taguchi Method

2015 ◽  
pp. 221-232 ◽  
Author(s):  
Abhijit Saha ◽  
Subhas Chandra Mondal
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Arc Welding ◽  
Submerged Arc Welding ◽  
Optimization Of Process Parameters ◽  
Submerged Arc

The Use of Taguchi Method Based on Desirability Function Approach for Optimization of Process Parameters in Submerged Arc Welding

2012 ◽  
Vol 622-623 ◽  
pp. 319-322
Author(s):  
Joydeep Roy ◽  
John Deb Barma ◽  
Subhash Chandra Saha
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Arc Welding ◽  
Desirability Function ◽  
Traverse Speed ◽  
Submerged Arc Welding ◽  
Function Approach ◽  
Confirmatory Test ◽  
Submerged Arc ◽  
Desirability Function Approach

In this paper, the Taguchi method coupled with desirability function approach is used for the optimization of response parameters in submerged arc welding (SAW). Desirability function (DF) approach has been introduced to convert the multi- response objective to single objective. Weld quality is greatly influenced by the weld parameters which directly or indirectly affect the response parameters. In the present investigation three process variables viz. Wire feed rate (Wf), stick out (So) and traverse speed (Ts) have been considered and the response parameters are hardness (H), tensile strength (TS), toughness (IS). Finally a confirmatory test has been carried out with the optimal process parameters for validation of the experiment.

Optimization of Process Parameters for Submerged Arc Welding by Weighted Principal Component Analysis Based Taguchi Method

2012 ◽  
Vol 622-623 ◽  
pp. 45-50 ◽  
Author(s):  
Joydeep Roy ◽  
Bishop D. Barma ◽  
J. Deb Barma ◽  
S.C. Saha
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Arc Welding ◽  
Principal Component ◽  
Traverse Speed ◽  
Component Analysis ◽  
Submerged Arc Welding ◽  
Bead Geometry ◽  
Weighted Principal Component ◽  
Submerged Arc

In submerged arc welding (SAW), weld quality is greatly affected by the weld parameters such as welding current, traverse speed, arc voltage and stickout since they are closely related to weld joint. The joint quality can be defined in terms of properties such as weld bead geometry and mechanical properties. There are several control parameters which directly or indirectly affect the response parameters. In the present study, an attempt has been made to search an optimal parametric combination, capable of producing desired high quality joint in submerged arc weldment by Taguchi method coupled with weighted principal component analysis. In the present investigation three process variables viz. Wire feed rate (Wf), stick out (So) and traverse speed (Tr) have been considered and the response parameters are hardness, tensile strength (Ts), toughness (IS).

Analyzing the response of submerged arc welding process parameters on Form factor and dilution

2021 ◽  
Author(s):  
Sachin Mohal ◽  
Saurabh Chaitanya ◽  
Manjit Singh ◽  
Rachin Goyal ◽  
Amresh Kumar ◽  
...  
Keyword(s):  
Form Factor ◽  
Process Parameters ◽  
Arc Welding ◽  
Welding Process ◽  
Submerged Arc Welding ◽  
Arc Welding Process ◽  
Submerged Arc
Sign in / Sign up

Export Citation Format

Share Document