Desirability Function Approach for Solving Multi-Objective Optimization Problem in Submerged Arc Welding

2006 ◽  
Vol 7 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Saurav Datta, ◽  
Asish Bandyopadhyay, ◽  
Pradip Kumar Pal,
Keyword(s):  
Arc Welding ◽  
Optimization Problem ◽  
Desirability Function ◽  
Submerged Arc Welding ◽  
Function Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Submerged Arc ◽  
Desirability Function Approach

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.

Multi-Objective Optimization of Bead Geometry for Submerged Arc Welding of Pipeline Steel Using RSM-Fuzzy Approach

2016 ◽  
Vol 16 (3) ◽  
pp. 141-151 ◽  
Author(s):  
Satish Kumar Sharma ◽  
Sachin Maheshwari ◽  
Sandeep Rathee
Keyword(s):  
Fuzzy Logic ◽  
Arc Welding ◽  
Pipeline Steel ◽  
Submerged Arc Welding ◽  
Bead Geometry ◽  
Multi Objective Optimization ◽  
Process Variables ◽  
Bead Width ◽  
Multi Objective ◽  
Submerged Arc

AbstractIn this paper, for the purpose of better control as well as multi-objective optimization of bead geometry parameters, the optimal combination of submerged arc welding (SAW) process variables is determined using fuzzy logic approach. Open circuit voltage, trolley speed, contact tube to work distance, preheating temperature and wire feed rate are taken as process variables during SAW of the pipeline steel. For this experimental investigation, experiments are designed and performed according to response surface methodology (RSM). Bead width, penetration, and reinforcement are taken as the performance measures in bead geometry. In fuzzy logic, two membership function (MF) namely triangular and trapezoidal are employed for the performance comparison of SAW process. As compared to triangular MF, the use of trapezoidal MF has given the more logical and better-optimized results for bead geometry parameters. Outcomes of the study are also confirmed by conducting the confirmatory experiments.

Multi-Objective Optimization of HAZ Characteristics for Submerged Arc Welding of Micro-Alloyed High Strength Pipeline Steel using GRA-PCA Approach

2016 ◽  
Vol 16 (4) ◽  
pp. 263-271 ◽  
Author(s):  
Satish Kumar Sharma ◽  
Sachin Maheshwari
Keyword(s):  
Arc Welding ◽  
Pipeline Steel ◽  
Principal Component ◽  
High Strength ◽  
Submerged Arc Welding ◽  
Confirmatory Test ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimal Setting ◽  
Submerged Arc

AbstractIn any type of welding, its heat affected zone (HAZ) is the most critical section where the probability of hydrogen or solidification cracking is prominent. Continuous efforts are being applied by researchers and welders to minimize HAZ and its alterations. For the same purpose, by varying the factors of submerged arc welding (SAW) process which directly influences the heat input and cooling rate of the weld, experiments are carried out on the plates of micro-alloyed high strength pipeline steel. Voltage, welding speed, contact tube to work distance, wire feed rate and preheating temperature are taken as process variables. The experiments are designed according to the central composite rotatable design approach of response surface methodology (RSM). Multi-objective optimization of HAZ characteristics (HAZ area and its hardness) is carried out using grey relational analysis (GRA). To un-correlate the correlated characteristics of HAZ, principal component analysis (PCA) approach is coupled with GRA. The results of the confirmatory test have shown an improvement of 28.51 % and 5.94 % in area and hardness value of HAZ respectively at optimal setting combination of SAW process parameters.

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