Optimizing Friction Stir Welding via Statistical Design of Tool Geometry and Process Parameters

Blignault, C.; Hattingh, D.G.; James, M.N.

doi:10.1007/s11665-011-9984-2

Cited by 21 publications

(12 citation statements)

References 3 publications

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“…A second-order polynomial regression model that comprised the main and interaction effects of all parameters was developed to establish a mathematical relationship between the FSW process parameters and the UTS of the joints. The second-order polynomial regression model is represented in equation (1) 52–55…”

Section: Resultsmentioning

confidence: 99%

Mathematical modeling and optimization of friction stir welding process parameters in AA5083 and AA7075 aluminum alloy joints

Saeidi

Manafi

Givi

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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In this study, dissimilar joints of AA5083-H116 and AA7075-T6 aluminum alloys were successfully made by friction stir welding technique. The microstructure and mechanical behavior of the welded joints were investigated at different rotational and traverse speeds. A mathematical modeling was developed to demonstrate a relationship between the friction stir welding parameters and the ultimate tensile strength of the dissimilar joints. Then, the mathematical modeling was optimized by genetic algorithm in order to find the optimum condition in which the maximum tensile strength of welded joints can be achieved. Eventually, genetic algorithm results confirmed that the maximum tensile strength of welded joints is achievable in rotational and traverse speeds of 500 r/min and 50 mm/min, respectively. The maximum error between experimental data and predicted model was less than 1%.

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Section: Resultsmentioning

confidence: 99%

Mathematical modeling and optimization of friction stir welding process parameters in AA5083 and AA7075 aluminum alloy joints

Saeidi

Manafi

Givi

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…The results indicated that rotational speed, welding speed, and axial force are the significant parameters in deciding the tensile strength of the welded joint. Blignault et al [5] optimized the procedures for FSW of 5083-H321 aluminum alloy by selecting appropriate weld process parameters and tool modifications. The model developed in this study allows the weld tensile strength to be predicted for all combinations of tool geometry and process parameters [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A study to estimate the tensile strength of friction stir welded AA 5059 aluminium alloy joints

Babu

Karunakaran

Balasubramanian

2015

Int J Adv Manuf Technol

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Friction stir welding (FSW) is an important welding technique where in, and optimizing the process parameters will improve the joint strength of the welds. The FSW process and tool parameters play a major role in determining the joint strength. In this paper, an attempt has been made to establish an empirical relationship between the FSW process parameters (rotational speed, welding speed, and axial force) and predicting the maximum tensile strength of the joint. Statistical tools such as design of experiments, analysis of variance, and regression analysis are used to develop the relationships. A non-heat treatable aluminum alloy Aluminium Association 5059 of 4 mm thickness was used as the base material. Response surface methodology is employed to develop the mathematical model. Analysis of variance technique is used to check the adequacy of the developed mathematical model. The developed mathematical model can be used effectively at 95 % confidence level. The effect of FSW process parameter on mechanical property of Aluminium Association 5059 aluminum alloy has also been analyzed in detail.

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“…22 Also, in recent years, some studies have been made on the optimization of the tool geometry using statistical analyses and finite-element methods. 23,24 …”

Section: Introductionmentioning

confidence: 99%

Effects of different stirrer-pin forms on the joining quality obtained with friction-stir welding

Başak¹

2015

Mater. Tehnol.

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In this study, 20 different pins that could be employed in friction-stir welding were manufactured. These pins and the Al7075 T6 material were joined with the friction-stir-welding technique. Tensile tests, microstructure and microhardness measurements, scanning-electron-microscopy (SEM) and energy-dispersion-spectrometry (EDS) analyses were conducted on the components joint by friction-stir welding. Designs of the weld and the tip that achieve the best performance were determined.

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Optimizing Friction Stir Welding via Statistical Design of Tool Geometry and Process Parameters

Cited by 21 publications

References 3 publications

Mathematical modeling and optimization of friction stir welding process parameters in AA5083 and AA7075 aluminum alloy joints

Mathematical modeling and optimization of friction stir welding process parameters in AA5083 and AA7075 aluminum alloy joints

A study to estimate the tensile strength of friction stir welded AA 5059 aluminium alloy joints

Effects of different stirrer-pin forms on the joining quality obtained with friction-stir welding

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