Related Experiment Video
Updated: Jul 11, 2025

06:04
Simulation of the Planetary Interior Differentiation Processes in the Laboratory
Published on: November 15, 2013
11.6K
Mesoscopic Simulation of Core-Shell Composite Powder Materials by Selective Laser Melting
Tao Bao1,2, Yuanqiang Tan1,2, Yangli Xu1,2
1Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China.
Materials (Basel, Switzerland)
|November 14, 2023
Summary
Core-shell composite powders improve selective laser melting (SLM) by preventing particle segregation. A new model simulates this process, showing laser power significantly impacts melt pool size and particle distribution.
Area of Science:
- Additive Manufacturing
- Materials Science
- Computational Modeling
Background:
- Selective Laser Melting (SLM) faces challenges with multi-material powders due to particle segregation, impacting printed part properties.
- Core-shell composite powders offer a solution to segregation issues in SLM.
- Understanding the complex physics of core-shell composite powder SLM (CS-SLM) is crucial for process optimization.
Purpose of the Study:
- To develop a mesoscopic melt-pool dynamics model for simulating single-track CS-SLM.
- To investigate the melting characteristics of nickel-coated tungsten carbide (WC@Ni) composite powder.
- To analyze the influence of process parameters on melt pool dynamics and particle distribution.
Main Methods:
- Development of a mesoscopic melt-pool dynamics model.
- Simulation of the single-track CS-SLM process using WC@Ni powder.
- Investigation of the effects of laser power and scanning speed on melt pool characteristics.
Main Results:
- Smaller particle sizes promote melt pool formation and increase local temperature.
- Laser power has a greater impact on melt pool size than scanning speed.
- Optimized laser power and scanning speed can mitigate particle aggregation.
Conclusions:
- The developed model accurately simulates CS-SLM, providing insights into physical mechanisms.
- The study highlights the importance of process parameter control for achieving desired material properties in CS-SLM.
- This modeling approach can be extended to multi-layer CS-SLM simulations for broader applications.

