AdditiveLab RESEARCH Metal Simulation Software
Multi-scale, full-domain simulation spanning from the microscale to the entire build area, compatible with both laser powder bed fusion and DED additive manufacturing processes.
Supports customized modeling, enabling the creation of proprietary simulation applications and automated workflows, with cross-platform deployment.
The powder-bed module enables precise deformation prediction, generation of compensation deformation models, and comprehensive thermal–mechanical multi-dimensional analysis.
The DED module is compatible with a variety of metal deposition processes, significantly reducing the number of trial-and-error tests.
Open Python API with full functionality and callable capabilities, supporting advanced automation and parameter optimization.
Product Introduction
AdditiveLab RESEARCH is an innovative software solution for developing custom simulation models for additive manufacturing processes. It enables users to simulate processes across multiple scales, from the microscale (scan paths) to the entire build area, thereby facilitating the prediction and optimization of manufacturing outcomes. Specifically, the software is designed for laser powder-bed additive manufacturing and directed energy deposition processes. With AdditiveLab 3D printing simulation, users can create their own simulation applications and automated workflows and distribute them to design teams, manufacturing departments, testing laboratories, and customers.
AdditiveLab RESEARCH’s powder-bed additive manufacturing module delivers a robust process-simulation solution. This versatile software enables users to predict part distortion through a comprehensive suite of mechanical and thermomechanical analyses, generate compensation models to counteract distortion, and evaluate stress, strain, and thermal history. Advanced scan-path simulation facilitates the understanding of melt-pool formation, thereby supporting the optimization of machine and laser settings. Furthermore, all functionalities are accessible via the AdditiveLab Python API, empowering advanced users to automate and optimize workflows.
The AdditiveLab RESEARCH DED module enables engineers to perform additive manufacturing process simulation for technologies produced via direct metal deposition processes using wire or powder feedstock, including DMD, DED, WAAM, and LMD. The AdditiveLab RESEARCH DED software for 3D printing simulation helps reduce the number of trial-and-error tests by providing simulation capabilities that can predict the potential manufacturing outcomes of DED processes.
Equipment Parameters
AdditiveLab RESEARCH Metal Powder Bed Fusion Process Simulation
1. AdditiveLab RESEARCH delivers mechanical simulation through a user-friendly interface and a highly automated model preparation workflow, simplifying advanced AM simulation processes to be completed in just a few clicks.
The simulation results from AdditiveLab can rapidly identify critical areas, including regions with significant deformation, localized stress concentrations, tooling collisions, crack formation, and excessive temperatures.
2. AdditiveLab RESEARCH supports simulation engineers in performing AM process simulations, spanning from the microscale to the scale of the entire build configuration. It offers a variety of simulation modules, including coupled thermal and thermomechanical analyses at both the part and scan-path levels. Thanks to its multi-core CPU support, the overall execution time is remarkably fast.
A fully integrated Python API provides users with complete access to the full range of simulation features and capabilities, enabling them to define custom scripts for automation and innovation.
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This paper presents a recent research achievement: the preparation of powders using AMAZEMET’s rePowder ultrasonic atomization system. Through systematic design and microstructure control, an innovative aluminum alloy with high strength, high ductility, and excellent high-temperature resistance has been successfully developed, opening up new prospects for enhancing the performance of 3D-printed aluminum alloys.
With the continuous advancement of materials science, the demand for high-performance alloys with superior corrosion resistance and wear resistance is steadily increasing. This is particularly true in industries such as aerospace, energy, and electronics, where the performance requirements for coating materials are constantly rising. Traditional powder-production methods, including powder metallurgy and mechanical milling, are increasingly unable to meet the need for precise control and functionalization of complex materials. Against this backdrop, ultrasonic atomization—a green and highly efficient new powder-production technology—has gradually emerged as a focal point in the research and development of advanced materials.
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