A Review on Friction Stir Welding/Processing: Numerical Modeling

被引:58
作者
Akbari, Mostafa [1 ]
Asadi, Parviz [2 ]
Sadowski, Tomasz [3 ]
Gu, Cheng
Mi, Gaoyang
Ou, Wenmin
机构
[1] Tech & Vocat Univ TVU, Dept Mech Engn, Tehran 1435761137, Iran
[2] Imam Khomeini Int Univ, Fac Engn, Dept Mech Engn, Qazvin 3414896818, Iran
[3] Lublin Univ Technol, Dept Solid Mech, Nadbystrzycka 40 Str, PL-20216 Lublin, Poland
基金
英国科研创新办公室;
关键词
friction stir welding; numerical models; strain and temperature distributions; material flow; force and torque; MATERIAL FLOW BEHAVIOR; MONTE-CARLO-SIMULATION; TOOL TILT ANGLE; RESIDUAL-STRESSES; MECHANICAL-PROPERTIES; WELDING PROCESS; ALUMINUM-ALLOY; PROCESS PARAMETERS; HEAT-TRANSFER; GRAIN-GROWTH;
D O I
10.3390/ma16175890
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Friction stir welding (FSW) is a manufacturing process that many industries have adopted to join metals in a solid state, resulting in unique properties. However, studying aspects like temperature distribution, stress distribution, and material flow experimentally is challenging due to severe plastic deformation in the weld zone. Therefore, numerical methods are utilized to investigate these parameters and gain a better understanding of the FSW process. Numerical models are employed to simulate material flow, temperature distribution, and stress state during welding. This allows for the identification of potential defect-prone zones. This paper presents a comprehensive review of research activities and advancements in numerical analysis techniques specifically designed for friction stir welding, with a focus on their applicability to component manufacturing. The paper begins by examining various types of numerical methods and modeling techniques used in FSW analysis, including finite element analysis, computational fluid dynamics, and other simulation approaches. The advantages and limitations of each method are discussed, providing insights into their suitability for FSW simulations. Furthermore, the paper delves into the crucial variables that play a significant role in the numerical modeling of the FSW process.
引用
收藏
页数:73
相关论文
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