Episode
GN 59 - Software to prove the Stability of Rheocasting
- Podcast
- Goldcasting Podcast
- Published
- Nov 27, 2025
- Duration seconds
- 2441
- Processing state
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Summary
For decades, process stability in semi-solid casting has been the single biggest barrier to scaling the technology. With automotive quality departments demanding verifiable, traceable, and reproducible solid-fraction data, the days of “trust us, we’ve done 5,000 quenches” are over. In this sponsored episode, Fabian Niklas interviews Staffan Zetterström, not as co-host, but as Marketing & Sales Manager of Comptech Rheocasting, to reveal a quiet revolution. A new solid-fraction analysis software developed jointly with academia and powered by machine learning. It’s a candid look at why an equipment manufacturer took the leap into software, what it actually solves for foundries, and what this signals for the future of process control, gigacastings, and data-driven casting development. Key Insights * You cannot scale semi-solid casting without proving your solid fraction Automotive OEMs are increasingly asking two questions: Is your process stable? And what solid fraction do you have? Without hard data, foundries won’t pass nomination gates, no matter how good their slurry looks on paper. * Machine learning + metallurgy = a breakthrough in usability The software automatically analyzes microstructures using models trained in collaboration with leading researchers at Jönköping University. Customers simply upload a polished sample; Comptech validates the rest. The approach blends advanced algorithms with decades of metallurgical expertise to deliver numbers engineers can trust. * Foundries need digital tools because casting leaves zero margin for error Producing a rear floor, battery tray, or front cradle every 60 seconds means any alloy mis-specification or solid-fraction drift multiplies into catastrophic cost and unmanageable recalls.Software-based validation is quickly bec…