About this Symposium

Meeting

2026 TMS Annual Meeting & Exhibition

Symposium

In Tribute to Robert Wagoner: A Pioneer in Metal Forming and Constitutive Modeling

Sponsorship

TMS Materials Processing and Manufacturing Division
TMS: Computational Materials Science and Engineering Committee

Organizer(s)

Hojun Lim, Sandia National Laboratories
David T. Fullwood, Brigham Young University
Myoung-Gyu Lee, Seoul National University
Dayong Li, Shanghai Jiao Tong University
Michael P. Miles, Brigham Young University
Stephen R. Niezgoda, Ohio State University
Jianfeng Wang, General Motors Global Research and Development

Scope

A foundational aspect of metal forming is optimizing product design and addressing challenges encountered in various forming processes through a comprehensive understanding of the underlying plasticity mechanisms. Metal forming analysis is vital for ensuring that products meet stringent quality standards and performance requirements. This symposium will pay tribute to Professor Rob Wagoner for his significant contributions to metal plasticity over the past 40 years. In commemoration of his recent passing, this symposium will highlight the work of Robert Wagoner and his colleagues, along with contributed presentations that focus on the innovative development and application of metal forming and constitutive modeling, as well as those that address practical challenges in the field.

Topics of interest include (but are not limited to) the following areas:

Novel Methodologies for Metal Forming Analysis: Exploration of new techniques for analyzing metal forming processes, including advancements in computational methods and experimental approaches that enhance process optimization and design validation.

Dislocation Plasticity Theories and Micromechanics: Development of physics-based, multiscale, multi-physics plasticity models to accurately predict the inelastic behavior of single, multi and polycrystals under various conditions, including quasi-static, dynamic, and cyclic loading.

Innovative Experiments and Simulations for Anisotropy Characterization: Development of new experimental techniques and numerical methods for characterizing the anisotropic behavior and its evolution in metal alloys.

Sheet Formability and Springback: Predictions and strategies for mitigating springback and failure in sheet metals, including advanced high strength steels and lightweight automotive alloys.

Surrogate and Reduced-Order Modeling: Applications of various machine learning techniques in metal forming analysis to facilitate accurate and efficient decision-making in design and analysis.