A Review of Simulation Tools Utilization for the Process of Laser Powder Bed Fusion

Area of Science:

• Materials Science and Engineering
• Manufacturing Technology

Background:

• Metal additive manufacturing (MAM) involves complex processes with numerous input parameters.
• Optimizing these parameters is crucial for achieving desired part properties and minimizing defects.

Purpose of the Study:

• To review the role of correlated input parameters in metal additive manufacturing.
• To highlight the application and benefits of simulation tools in optimizing the MAM process.

Main Methods:

• Review of existing literature on metal additive manufacturing processes.
• Analysis of simulation tools for predicting defects and material behavior.
• Correlation of theoretical knowledge with practical parameter definition in MAM.

Main Results:

• Simulation tools effectively predict material defects and optimize input parameters.
• These tools enable efficient analysis of material behavior under various conditions.
• Simulation reduces time and costs by minimizing trial-and-error in real production.

Conclusions:

• The correlation between theoretical knowledge and process parameters is vital for quality part production in MAM.
• Simulation tools are indispensable for identifying adverse phenomena and validating solutions.
• Utilizing simulation significantly impacts the design and production of high-quality metal additive manufactured parts.