研究目的
To develop mathematical models to predict the weld interface depth (MD), weld interface width (MW) and maximum temperature (Tmax) for polypropylene through transmission laser welding (TTLW) and to establish an optimised combination of laser welding parameters to prevent thermal degradation.
研究成果
The developed three-dimensional finite element model of the laser transmission welding process can predict the dimensions of weld interface depth and width and temperature profile along the weld line. The results show that laser power is the most significant factor affecting the responses followed by scanning speed and spot diameter. The model helps in identifying optimal input parameters/limits selection as well in process performance and design.
研究不足
The study is a preliminary investigation and future work is needed to consider the implementation of clamping pressure and fluid dynamic model for thermo-morphologic analysis. The validation of the presented preliminary study will be conducted in future experimental work.
1：Experimental Design and Method Selection:
The study uses a finite element method (FEM) and response surface methodology (RSM) combined approach to simulate the thermal field by solving a three-dimensional transient heat diffusion equation using COMSOL Multiphysics. Minitab v17 is used for experimental design as per central composite design.
2：Sample Selection and Data Sources:
Polypropylene plates with dimensions of 17 mm long × 10 mm wide × 2 mm thick are used. The study considers only one-half of the overlapping area due to symmetries.
3：List of Experimental Equipment and Materials:
COMSOL Multiphysics for simulation, Minitab v17 for statistical analysis, and polypropylene plates with specific thermo-physical properties.
4：Experimental Procedures and Operational Workflow:
The simulation involves scanning the laser beam through the middle of the overlapping length. The study plans 3 factors-5 levels experiments for two different process windows.
5：Data Analysis Methods:
The developed mathematical models are examined by analysis-of-variance (ANOVA) technique to check their adequacy. Desirability function analysis is used for optimization.
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