Modeling and optimization of tool parameters in friction stir lap joining of aluminum using RSM and NSGA II
Author:
Affiliation:
1. Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
Publisher
Informa UK Limited
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Link
https://www.tandfonline.com/doi/pdf/10.1080/09507116.2022.2164530
Reference33 articles.
1. Deep learning approaches for force feedback based void defect detection in friction stir welding
2. Generation of force and torque during joining of AZ91C plates by FSW under distinctive tool tilt angle and their impact on mechanical strength and micro-structure
3. Effect of process parameters in obtaining aluminium–steel joints and their microstructure by friction stir welding (FSW)
4. Prediction of relationship between angular velocity to the pitch line velocity (ω/v) on tensile strength of friction stir welded AA2014-T6 Aluminium alloy joints
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1. Improved mechanical behavior of friction stir drilled 6082 aluminum alloy via T6 treatment;Journal of Materials Research and Technology;2024-07
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3. Morphological and mechanical behavior of novel Al7075 (T6) + 3.5% SiC + 0.3% CR + 5.5% MoS2-based green hybrid composite: An experimental analysis and optimization via TOPSIS;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2024-02-04
4. Influence of welding speed on the root defects formation and mechanical properties of FSWed 6082-T6 Al alloy joint;The International Journal of Advanced Manufacturing Technology;2024-02-03
5. Reverse effects of pre-deformation and traverse speed on the mechanical properties of friction stir processed pure copper;Engineering Research Express;2024-02-02
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