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· Manufacturing Industry News and eMagazine - Recent News
AI summary

AMCM is integrating EOSPRINT with the PanX simulation platform to embed physics-based modeling directly into industrial metal AM workflows, shifting from trial-and-error toward model-driven process setup and part qualification. By linking build preparation with predictive simulation, the integration aims to optimize parameters, reduce development time and cost, and increase confidence in high-value, reliability-critical applications.

Question: Which physics-based insights (e.g., melt pool behavior, distortion/residual stress, defect risk) would be most valuable for you to speed qualification and scale metal AM production?

AMCM INTEGRATES EOSPRINT WITH PANX TO ADVANCE PHYSICS-BASED SIMULATION FOR INDUSTRIAL METAL AM

This article was originally posted on manufacturingtomorrow.com.
As metal AM continues to mature into a fully industrialised production technology, manufacturing and part qualification processes must increasingly be supported by physics-based models, as they are in other advanced industries. Production AM cannot rely on experimental trial-and-error, particularly when parts are expensive and required to perform reliably in demanding end-use applications.

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