Application of Taguchi technique to optimize the gma welding parameters and study of fracture mode characterization of AISI 304H welded joints

Rizvi, Saadat Ali

doi:10.1556/1848.2018.9.1.2

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…An efficient neural network based prediction tool was developed to approximate the mechanical properties of weldments without performing the experiments, outputting values predicted for the given input values. Rizvi [11] optimized different welding process parameters which affect the weldability of stainless steel (AISI) 304H through Taguchi techniques by L9 orthogonal array and also studied the fracture mode characterization. Analysis of variance (ANOVA) and signal-to-noise ratio (SNR) were applied to determine the effect of welding current, wire feed speed, and gas flow rate on mechanical, microstructure properties of SS304H.…”

Section: Introductionmentioning

confidence: 99%

Characterization and Parametric Optimization of EN-10149-2 Steel Welded Joints Made by MIG Welding

Behredin

Ramulu

Beri

et al. 2022

Advances in Materials Science and Engineering

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Advanced high strength steels (AHSS) are multiphase steels that contain various concentrations of ferrite, bainite, martensite, and retained austenite phases. The unique physical characteristics of AHSS present some challenges to welding and bonding processes. AHSS have tendency to change microstructure and mechanical properties by any welding process like other steels. Based on the significant applications in various industries, the experimental works are carried out on one of AHSS materials, EN-10149-2 S700MC, with thickness of 2 mm steel sheet metal by MIG welding process parameters such as current, voltage, and welding speed. For all combinations of process parameters, the butt joints are fabricated. The butt joints are inspected through different nondestructive testing for defects detection. All the defect-free joints are characterized through microstructure (at different zones of joint), hardness, and tensile tests. From the obtained mechanical test results, the process parameters are optimized through design of experiment techniques (DoE). The analysis from DoE method is used to identify which parameter is the most significant among all parameters. Confirmatory test is also done by taking the optimal parameters and the result shows that the improvement of the response variables is acceptable and also shows that the method that is used for optimization was valid.

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Section: Introductionmentioning

confidence: 99%

Characterization and Parametric Optimization of EN-10149-2 Steel Welded Joints Made by MIG Welding

Behredin

Ramulu

Beri

et al. 2022

Advances in Materials Science and Engineering

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“…ANOVA is a power full statically tool to determine which factor influence the response [19]. A model or model term is significant when p value is less than 0.05.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments

Rizvi

Ali

2021

Frattura Ed Integrità Strutturale

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In this experimental works, the effect of GMA welding process parameters, such as arc voltage, wire feed speed, and gas flow rate on the mechanical quality of IS 2062 structural steel of grade A has been studied. Process parameters play an important role in determining the weld quality. In this research work response surface methodology (RSM) technique via design expert (DOE) 12 version software was applied to determining the weld quality and also to develop a mathematical model that can predict the main effect of the above said parameters on weld quality i.e. toughness and hardness. A set of experiments has been conducted to collect the data using a central composite design and ANOVA was used to predict the impact of welding parameters on toughness and hardness and Comparison also made between the actual result and predicted value and from the result that is clear that toughness and hardness of weldment is significantly affected by arc voltage, wire feed speed, and follow by gas flow rate.

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“…One of the most widely used methods to solve this problem is the Taguchi technique. It is effective for various welding technologies, investigating the effect of process parameters on weld quality in terms of weld bead geometry and mechanical properties [4,5]. Again, the effect of influential welding parameters depends largely on several factors such as material type, joint type, as well as welding process involved and has to be researched separately for each new component, material as well as for welding process [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Argon Gas Metal Arc Welding Process Parameters with Regard to Tensile Strength for AISI 310 Stainless Steel Using Taguchi Technique

Shete¹,

Gite²

2022

JERA

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Gas metal arc welding (GMAW) is the leading process in the development of arc welding process for higher productivity and quality. In this study, the effect of process parameters of argon gas welding on the strength of T type welded joint of AISI 310 stainless steel is analyzed. The Taguchi technique is used to develop the experimental matrix and tensile strength of the welded joint is measured using experimental method and finite element method. Optimization of input parameter is performed for the maximum tensile strength of welded joint using ANOVA. The results showed that welding speed is the most significant factor affecting the tensile strength followed by voltage in argon gas metal arc welding (AGMAW) process. Argon gas welding process performance with regard to the tensile strength is optimized at voltage: 18.5 V, wire feed speed: 63 m/min and welding speed: 0.36 m/min.

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Application of Taguchi technique to optimize the gma welding parameters and study of fracture mode characterization of AISI 304H welded joints

Cited by 5 publications

References 19 publications

Characterization and Parametric Optimization of EN-10149-2 Steel Welded Joints Made by MIG Welding

Characterization and Parametric Optimization of EN-10149-2 Steel Welded Joints Made by MIG Welding

Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments

Optimization of Argon Gas Metal Arc Welding Process Parameters with Regard to Tensile Strength for AISI 310 Stainless Steel Using Taguchi Technique

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