研究目的
Investigating the possibility of replacing the current inefficient research and development (R&D) methods with numerical modeling in the selective laser sintering (SLS) industry.
研究成果
The study demonstrated that numerical thermal modeling can be a valuable tool in the R&D process for the SLS industry, potentially reducing the need for resource-intensive machine calibration. However, the accuracy of the numerical model varies, indicating the need for more refined models that include additional multi-physical phenomena for consistent and accurate predictions.
研究不足
The study was limited to the selective laser sintering (SLS) process, focusing only on the thermal aspect and excluding other multi-physical phenomena. The model complexity was restricted to a meso-scale, single-track, single layer simulation.
1：Experimental Design and Method Selection:
The study used numerical thermal modeling to simulate the SLS process, focusing on temperature dependent material properties and heat transfer principles.
2：Sample Selection and Data Sources:
Past research on tungsten carbide-cobalt (WC-Co) for SLS application was selected for comparison with numerical model results.
3：List of Experimental Equipment and Materials:
Abaqus/CAE 2017 was used for numerical simulations. The model included a base substrate and a powder layer with temperature dependent material properties.
4：Experimental Procedures and Operational Workflow:
The study involved creating a numerical model to simulate the SLS process, using parameters from past literature, and comparing the simulated melt track dimensions with experimental results.
5：Data Analysis Methods:
The accuracy of the numerical model was assessed by comparing the simulated melt track widths with those obtained from experimental tests.
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