This thematic session aims to bring together researchers working on numerical methods applied to metal forming processes, with a particular focus on fostering the participation of early-career researchers and PhD candidates. The session will serve as a platform for exchanging ideas, presenting recent advances, and encouraging constructive feedback in a supportive environment. The scope of the session includes, but is not limited to: Numerical modeling of plasticity and fracture, Formability limits and failure prediction, Microstructure evolution during forming, Bulk forming and forging processes, Sheet metal forming processes, Integration of artificial intelligence and machine learning in metal forming, Multiscale and multiphysics approaches, Experimental validation and inverse modelling. A key objective of this session is to create a welcoming space for young researchers to present their work, often for the first time, and to receive meaningful feedback from the community. We aim to promote interaction, discussion, and mentorship, helping to build confidence and foster collaboration across institutions and generations. This session continues the tradition of previous CMN editions focused on metal forming, while introducing new perspectives and contributors to ensure its relevance and vitality moving forward.