A Hybrid Method of NSGA-II and TOPSIS to Optimize the Performance of Friction Stir Extrusion
Publish place: The Iranian Journal of Materials Forming، Vol: 8، Issue: 4
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJMF-8-4_006
تاریخ نمایه سازی: 8 آبان 1400
Abstract:
This study investigates the effect of friction stir back extrusion (FSBE) input parameters such as traverse speed, rotational speed, and wire diameter on the mechanical and microstructural properties of the produced wire. Numerous experiments were performed with different input parameters, and the grain size, hardness, and ultimate pressure strength (UPS) of each of the produced wires were investigated. In addition, to better understand the effect of input parameters, the process was simulated using the finite element method (FEM) model, and the temperature, material flow, and strain distributions in the wires were investigated. Then, using the artificial neural network (ANN), a relationship was obtained between the input parameters of the process, such as traverse speed, rotational speed, and wire diameter, with the mechanical and microstructural properties of the produced wires. This relationship was then used in a hybrid multi-objective optimization to find the optimal process parameters. Due to the higher importance of UPS in comparison to the grain size and microhardness, the weighting of ۰.۶, ۰.۲, and ۰.۲ were used in the TOPSIS model, and the optimum input parameters were achieved as ۶ mm, ۳۶.۳۵ mm/min, and ۴۵۶ rpm, for the traverse speed, rotational speed, and wire diameter, respectively.
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Authors
Mostafa Akbari
Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
Parviz Asadi
Advanced Materials Processing and Modeling Lab., Department of Mechanical Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran
Hossein Rahimi Asiabaraki
Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran