Large-Scale AM Data
32 labs, 1.2 million data points - AM research just hit a new milestone! ๐งโ๐ฌ๐ #MaterialsMonday
A global interlaboratory study spanning 32 institutions and 6 feedstocks mapped the entire process chain of Laser Powder Bed Fusion.
๐ The results? A publicly available dataset with unprecedented detail - pushing the limits of reproducibility, parameter control and feedstock variability across both metal and polymer systems.
Key facts:
- 32 academic labs, 20 PBF-LB machines, 3 metal + 3 polymer feedstocks
- 69 powder + 15 process + 78 part properties โ 1.2 million correlations
- Benchmark powders: AlSi10Mg, PA12 (commercial + modified)
- Dimensionless models (ฮ 1-ฮ 4) introduced to predict outcomes before production
What if you had all your material and process data seamlessly stored in your @AddiBase MES and could enhance it with millions of data points from @AddiMap to run your own statistics and optimize your PBF-LB processes?
๐ค How much faster would you qualify new materials? How much more predictable would your builds become?
๐ Read the research paper "Large-Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers": https://doi.org
๐ Learn more about our 50+ qualified #MetalAM materials: www.rosswag-engineering.com
