ADD2MAN is a high-performance computational platform developed by CIMNE and ArcerlorMittal for large-scale industrial simulations. It features scalable parallel adaptive algorithms, automatic mesh refinement, and G-code-driven analysis, enabling precise, efficient modelling of advanced manufacturing processes.
The tool combines multiple advanced solutions for accurate, versatile results. It uses octree-based mesh adaptivity and parallelization through OpenMPI, supporting both shared and distributed memory system for exceptional scalability.
ADD2MAN enables high-fidelity, multi-physics simulations, including thermo-mechanical coupling, microstructure evolution, and real-time process monitoring, making it uniquely suited for applications of metal additive manufacturing (AM).
In addition, ADD2MAN offers automatic mesh refinement driven by accuracy criterion, and integrates machine learning techniques for process window optimization. This combination significantly improves both the precision and the adaptability of simulations, making ADD2MAN a valuable tool across multiple industries.
In action
Warpage analysis
ParMetis parallel partitioning
Residual stresses
Adaptive Mesh Refinement/Coarsening for multiple power supplies
Features
Reduced testing costs and time
Octree-based adaptive mesh refinement
Multi-laser and multi-power supply support
Structural and quality assurance
Direct simulation from G-code
AI-powered process optimization
HPC scalability and real-time performance
Coupled thermo-mechanical analysis
Applications
High-fidelity part-scale simulation
Process monitoring and calibration
Warpage and residual stress prediction
Microstructure evolution modelling
Repair and remanufacturing framework
Interested?
If you want to learn more about the capabilities of ADD2MAN or how it can help your organization, send us an email!
Discover CIMNE’s research cluster in Solid and Fluid Simulation for Industrial Processes