February 2026 Volume 8

FORGING RESEARCH

efficient development and optimization of high-performance materials for critical applications. The complementary nature of mean-field and full-field approaches, as demonstrated in this work, provides the materials science community with flexible tools adapted to both research investigations and industrial requirements.

Angela Haykal, PhD in Physics and Scientific Writer at Transvalor SA Phone: +33 (0)4 9292 4200 E-mail: sales@transvalor.com Website: www.transvalor.com

The key scientific advancement lies in the successful implementation and validation of the Neighborhood Model (NHM) as a mean-field approach that bridges the gap between computational efficiency and physical accuracy. With computation times 50-100x faster than full-field simulations while maintaining prediction accuracy within 10-15%, NHM represents a practical solution for industrial applications requiring both speed and reliability. The integration of these models within the DynamiX framework by TRANSVALOR, coupled to FORGE®, provides an unprecedented capability for multi-scale process-microstructure modeling. This enables optimization of industrial forming processes while maintaining scientific rigor in microstructural predictions. The research significantly advances the field by: 1. Establishing quantitative benchmarks for model accuracy across different thermomechanical conditions 2. Demonstrating successful prediction of second-phase particle effects on grain growth 3. Providing a validated framework for industrial implementation of advanced microstructural models 4. Identifying specific limitations and proposing solutions through dynamic class adaptation These advances contribute to the broader goal of integrated computational materials engineering (ICME), enabling more

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