研究目的
Analyzing the thermal processes in selective laser melting and fusion of metals and alloys to understand microstructure formation, prevent residual deformation, and develop accurate mathematical models for predicting production defects.
研究成果
The paper concludes that the development of accurate and computationally efficient mathematical models is crucial for advancing selective laser melting and fusion technologies. It emphasizes the importance of multiscale modeling approaches to understand and control the thermal and mechanical states of materials during additive manufacturing, aiming to minimize defects and improve product quality.
研究不足
The paper highlights the complexity of accurately modeling the interconnected physical processes in additive manufacturing, including the need for efficient numerical methods that balance computational costs with accuracy. It also points out the challenges in predicting microstructure and residual stresses due to the high variability in process parameters.
1:Experimental Design and Method Selection:
The paper discusses the use of mathematical models and numerical methods to simulate heat transfer in additive manufacturing processes. It includes the analysis of thermal processes under high-intensity local heating by a moving laser beam and phase transitions.
2:Sample Selection and Data Sources:
The study focuses on the thermal processes in metals and alloys during selective laser melting and fusion, using theoretical models and existing experimental data.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned, but the context implies the use of laser melting and fusion equipment for metals and alloys.
4:Experimental Procedures and Operational Workflow:
The paper outlines a multiscale modeling approach, combining finite-element methods and analytical calculations to simulate the thermal and mechanical states of growing bodies in additive manufacturing.
5:Data Analysis Methods:
The analysis involves numerical solutions of heat-transfer problems, with a focus on accuracy and computational efficiency.
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