Parametric Optimization of Gas Metal Arc Welding Processes by Using Factorial Design Approach

Singla, Manoj; Singh, Dharminder; Deepak, D

doi:10.4236/jmmce.2010.94026

Cited by 19 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Welding speed, arc voltage, welding current, gas flow rate, offset distance were chosen as input parameters and penetration, throat thickness and reinforcement height were chosen as output parameters. Manoj Singla et al [17] applied Factorial design approach for finding the relationship between the various process parameters and weld deposit area of GMAW process.…”

Section: Gas Metal Arc Welding (Gmaw)mentioning

confidence: 99%

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Prasad

Rao

2012

Journal for Manufacturing Science and Production

View full text Add to dashboard Cite

Design of Experiment is one of the extensively used method for experimental study of many manufacturing processes in engineering. In welding, Design of Experiments are widely used to develop a mathematical relationship between the welding input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality. In the present study, a review is made on Response Surface Method based Design of Experiments that have been employed for various welding processes by other researchers. This study predominantly focuses on the usage of Response Surface Method in Welding.

show abstract

Section: Gas Metal Arc Welding (Gmaw)mentioning

confidence: 99%

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Prasad

Rao

2012

Journal for Manufacturing Science and Production

View full text Add to dashboard Cite

show abstract

“…al. [18] using factorial design approach optimization by developing a mathematical model. Optimal levels of the factors are different for different objectives presented by P. Sonasale [19] using Taguchi's experimental design strategy.…”

Section: General Optimisation Studiesmentioning

confidence: 99%

Optimization of Metal Inert Gas Welding Process during Joining of Structural Steels- An Overview

Misra

Porwal

2020

E3S Web Conf.

View full text Add to dashboard Cite

Metal Inert Gas welding is a fast, reliable and cost effective technique for joining of different ferrous materials and steels used in the construction of large structures like Fe410WA, IS2062, SS304, AISI1040 and AISI316 etc. To obtain better quality and performance of the steel welded joints, parameter optimisation of metal inert gas welding procedure and weld heat treatment process is carried out. In optimization work and studies, variables of GMAW process like welding voltage and current, speed of welding, WFR (rate of wire feed), GFR (rate of gas flow), type of gas used and effect of heat treatments are kept changing to get best combinations of input parameters for best quality of welded parts. The quality of welds is evaluated in terms of mechanical properties of welded joints like ultimate tensile and yield strength, elongation, microstructure, heat affected zone and defect free weld joints etc. Model and experimental studies are done in different combinations to get best combination of input parameters for steels. Studies by authors have identified the significance of input parameters in ascending order and some of them also quantified the optimal values of the input parameters. Pre and post weld heat treatment of structures is beneficial in improvement of mechanical and fatigue properties.

show abstract

“…Srivastava et al [12] used Box Behnken design technique of Response Surface Methodology to optimize gas metal arc welding for IS 2062 mild steel. Singla et al [13] developed a mathematical model for the parametric optimization of gas metal arc welding by using factorial design approach. Ambekar et al [14] presented a study by using Taguchi orthogonal array of L 16 for optimization of process parameters gas metal arc welding on AISI 410 steel.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Taguchi Based Grey Algorithm for Multi Objective Optimization of Gas Metal Arc Welded DP1000 Steel

Karataş¹,

Bayramoğlu

Eşme

et al. 2021

European Mechanical Science

View full text Add to dashboard Cite

Euro-6 norms for reduction of CO 2 emissions and ECE-R66-01 regulation for safer passenger transportation became legislative obligations for bus builders. These two adaptations increase the weight of a bus as nearly 600kg which also increases the fuel consumption nearly 1.5-3%. Dual phase (DP) steels can compensate these increases by decreasing the thickness of the components. Because, ferrite provides the steel with good formability and martensite increases the hardness and ultimate tensile strength in DP steels. This study focused on the multi response hybrid optimization of gas metal arc welding (GMAW) of DP1000 steel to determine the optimal parametric combination which gives the maximum ultimate tensile strength (UTS, MPa) and joint efficiency (JE) under minimum heat input (Q, kj/mm). Nine experimental trials which is based on the orthogonal array suggested by Taguchi method was carried out to investigate objective functions for optimization in the experimental range of GMAW parameters such as voltage (U, volt), welding speed (V, mm/min) and wire feed rate (f, m/min). The Taguchi method continued with Grey Relational Analysis (GRA) to overcome the multiobjective optimization model. Finally, Analysis of variance (ANOVA) method has been used to determine the significance of the welding parameters on the responses of UTS, JE and Q. This shows flexible applicability of Taguchi based GRA to find out the effect of each GMAW process parameters onto individual responses.

show abstract

Parametric Optimization of Gas Metal Arc Welding Processes by Using Factorial Design Approach

Cited by 19 publications

References 11 publications

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Optimization of Metal Inert Gas Welding Process during Joining of Structural Steels- An Overview

Hybrid Taguchi Based Grey Algorithm for Multi Objective Optimization of Gas Metal Arc Welded DP1000 Steel

Contact Info

Product

Resources

About