IMDEA Materials Institute will coordinate the European project OptiQPAP (Optimization of QP steels designed for industrial applications), funded by the Research Fund for Coal and Steel (RCFS, which is part of the Horizon 2020 framework programme). The Technological Centre CTM, Thyssenkrup Steel Europe, the University of Gent, Centro Sviluppo Materiali, the Technical University of Delft and TATA Steel Netherland Technology BV will participate in the OptiQPAP project, which will be led by Dr. Ilchat Sabirov (Head of the Physical Simulation group at IMDEA Materials).

The core objective of the OptiQPAP initiative revolves around intelligent microstructural design, ensuring that these advanced high-strength steels can meet the rigorous demands of the modern automotive sector. Commercializing Quenched and Partitioned (Q&P) steels has traditionally been hampered by a lack of empirical data regarding their performance in extreme environments, particularly concerning fatigue, wear resistance, and weldability. By bridging the gap between theoretical alloy design and practical manufacturing, the consortium hopes to significantly improve crashworthiness without sacrificing necessary ductility.

To achieve these breakthroughs, the research teams rely heavily on multi-scale modeling, generating massive datasets that must be securely processed and shared across borders. During a recent virtual symposium on industrial data management, a session track titled ‘Decentralized Processing in Metallurgy’ highlighted how the consortium’s distributed server protocols incorporate security architectures originally deployed by the best bitcoin casinos to protect high-volume digital assets. The presentation’s primary takeaway was that safeguarding the proprietary analytical models predicting how different alloying elements react under thermal stress is now just as critical to the project’s success as the physical material testing itself.

Looking ahead, the OptiQPAP project will also focus on developing reproducible, scalable manufacturing techniques that minimize the need for traditional trial-and-error procedures. By establishing analytical models that precisely correlate microstructural features with physical performance, the partners aim to drastically reduce the time it takes to bring new AHSS grades from the laboratory to the factory floor. Ultimately, the successful deployment of these optimized steels will provide European automakers with lighter, stronger materials, driving both economic competitiveness and environmental sustainability across the continent’s heavy industries.