Design and Optimization of Friction Stir Welding Tool

Aissani, Mouloud; Gachi, Saliha; Boubenider, F.; Benkedda, Y.

doi:10.1080/10426910903536733

Cited by 85 publications

(30 citation statements)

References 13 publications

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“…However, these alloys are difficult to join with fusion welding methods which produce solidification cracks and high volume of porosities [1][2][3][4]. Accordingly, friction stir welding (FSW) as a solid state joining method is being noticed recently by many industries and researchers due to its capability to reduce defects compared with conventional techniques [5].…”

Section: Introductionmentioning

confidence: 99%

Effect of cyclic solution treatment on microstructure and mechanical properties of friction stir welded 7075 Al alloy

Bayazid

Farhangi

Asgharzadeh

et al. 2016

Materials Science and Engineering: A

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Section: Introductionmentioning

confidence: 99%

Effect of cyclic solution treatment on microstructure and mechanical properties of friction stir welded 7075 Al alloy

Bayazid

Farhangi

Asgharzadeh

et al. 2016

Materials Science and Engineering: A

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“…Numerous studies on tool design have been reported in the last few years. It has been concluded from previous studies that shoulder and tool pin are the key factor of heat generation, material mixing in the welding and determines the mechanical properties of welded joints [44][45][46][47][48][49]. It has been observed that flat, scroll and concave feature of shoulder and frustrum shapped (truncated cone) with threaded, tapered triflat, threaded and cylindrical pin were applied in the joining of Al-Li alloy [50][51][52][53][54][55][56] Pin-less tool is also applied in the joining of thin sheet of Al-Li alloys [57].…”

Section: Shi and Wumentioning

confidence: 99%

Fabrication of third generation Al–Li alloy by friction stir welding: a review

Alam

Sinha

2019

Sādhanā

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Aerospace industry stimulates research for new materials to reduce the weight of it thereby reduction of fuel consumption. Aluminium-Lithium alloys have become a good alternative due to its inherent properties. Nevertheless, joining of these materials by traditional welding is difficult. Friction stir welding process considered as an ideal joining process for these materials due to low heat input. This paper reviews the fabrication of the latest generation of Al-Li alloy by friction stir welding. In addition, it also presents and discusses the effect of process parameters on microstructure, mechanical properties and precipitate distribution in friction stir welded joint of Al-Li alloy.

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“…The trust radius was then automatically readjusted using fuzzy logic according to the prediction accuracy. The approximation model was repeatedly evolved and searched recursively until convergence [5][6][7][8][9][10][11][12][13].…”

Section: Lgp Testmentioning

confidence: 99%

Optimized Light Guide Plate Optical Brightness Parameter: Integrating Back-Propagation Neural Network (BPN) and Revised Genetic Algorithm (GA)

Wang¹

2014

Materials and Manufacturing Processes

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The light guide plate (LGP) printing process is used to obtain the optimal optical brightness, which requires the optimization of the LGP printing process parameters. This study analyzed the optical brightness optimization parameter design. This study integrated the back-propagation neural network (BPN) and a revised genetic algorithm (GA) to identify the optimal experimental level combination of the optical brightness parameter design. The obtained optical brightness process capability C pk by the proposed method was 1.73, which was better than the process capability C pk of 1.65 obtained by using the Taguchi method.

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Design and Optimization of Friction Stir Welding Tool

Cited by 85 publications

References 13 publications

Effect of cyclic solution treatment on microstructure and mechanical properties of friction stir welded 7075 Al alloy

Effect of cyclic solution treatment on microstructure and mechanical properties of friction stir welded 7075 Al alloy

Fabrication of third generation Al–Li alloy by friction stir welding: a review

Optimized Light Guide Plate Optical Brightness Parameter: Integrating Back-Propagation Neural Network (BPN) and Revised Genetic Algorithm (GA)

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