材料科学
ABS树脂
焊接
聚丙烯
聚对苯二甲酸乙二醇酯
聚碳酸酯
有限元法
激光束焊接
塑料焊接
响应面法
过程(计算)
人工神经网络
复合材料
机械工程
计算机科学
结构工程
人工智能
工程类
机器学习
电弧焊
填充金属
操作系统
作者
Jing Wu,Song Lu,Hongjian Wang,Yan Wang,Fengbin Xia,Jin-Wang
标识
DOI:10.1007/s00170-021-07519-z
摘要
Thermoplastics are widely used in industry and life fields. Laser transmission welding (LTW) provides a solution to improve comprehensive performances of different thermoplastics. This paper reviews LTW process of thermoplastics according to classification of composition and structure of materials, such as the fiber-reinforced thermoplastics (FRP), polycarbonate (PC), acrylonitrile/butadiene/styrene (ABS), polyethylene terephthalate (PET), polypropylene (PP), and polymethyl methacrylate (PMMA). The effects of typical laser parameters, such as laser power and scanning speed on the welding strength of materials, are discussed. The impact of reinforcement or additive on the laser welding process is also elaborated. As an auxiliary to experimental tools, the modeling and simulation methods involved in the welding process are also presented and it is concluded that finite element method (FEM) is the primary techniques employed in modeling and simulations. Response surface methodology (RSM) and artificial neural network (ANN) have also shown advantages in the welding research. Mixed method (MM), which combines various kinds of modeling and simulation methods, can be employed to obtain optimized process parameters more efficiently. In general, still, significant research is needed to improve the welding quality of thermoplastics by combining experiments with modeling and simulations.
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