Industry Plenary Lecture
Byung Kwan Chun (USA): (Bio)
AN INTEGRATED MATERIAL-PROCESS MODELING FRAMEWORK FOR MULTISCALE AND AI-AUGMENTED PROCESS DESIGN
The demands of modern manufacturing have expanded far beyond traditional forging and metal forming simulation. Recent advances provide modeling capabilities across the entire manufacturing process chain, including post-processing operations such as heat treatment, joining, machining, and shot peening. This enables the prediction of material evolution—such as microstructure, mechanical properties, and residual stresses—throughout the full process, from ingot conversion to final assembly.
This integrated framework advances the state of the art in four key aspects. First, enhanced multi-physics formulations extend conventional rigid plastic models to elasto-plastic, elasto-viscoplastic, and coupled thermo-mechanical, fluid, and electromagnetic analyses, enabling accurate prediction of thermal behavior, material flow, residual stresses, and distortion. Second, hierarchical material modeling bridges phenomenological descriptions with multiscale approaches, effectively capturing phase transformation, microstructure evolution, and anisotropic texture development. Third, computational performance and robustness are improved through parallel computing, GPU acceleration, domain decomposition, and Arbitrary Lagrangian–Eulerian (ALE) methods. Finally, AI-augmented design integrates surrogate modeling to enable near real-time prediction and rapid exploration of process–material design spaces.
Bart Carleer (Switzerland): (Bio)
SMART ENGINEERING FOR SMART MANUFACTURING
Zero failures and zero reworks are a key asset for efficient mass production of stamping parts. In order to achieve this ambitious target, an effective engineering process is required as well as a reliable operations in the press shop. A continuous virtual data flow across all phases in the development process result in aligned quality requirements, early risk visibility and avoidance of late surprises. The smart engineering approach and the insights obtained can be reused in manufacturing. The smart manufacturing approach as a result reduces redundant checks and ensures consistency in the stamping process, this latter can even be automated.
Yeonsik Kang (Korea): (Bio)
FORMING TECHNOLOGY DEVELOPMENT DIRECTIONS AND CASES FOR ADAPTING TO THE CHANGING MOBILITY INDUSTRY
The automotive industry is undergoing an unprecedentedly rapid and extensive paradigm shift. While vehicle structural optimization and material diversification driven by stringent environmental and safety regulations have already become mainstream, the recent acceleration of electrification, alongside shifts in consumer and demographic structures, is significantly reshaping customer needs for new vehicles. Consequently, the vehicle development paradigm is pivoting toward a software-centered approach, and technological innovations represented by autonomous driving and AI are leading the transformation of the automotive industry.
In response to these dynamics, automakers and suppliers are moving swiftly to develop new technologies, and automotive material forming technology must likewise seek new directions for advancement.
For over three decades, POSCO has developed forming technologies and successfully applied them to new vehicle components through close collaboration with global customers. Reflecting recent trends, POSCO has newly established and implemented its technological roadmap. Based on a comprehensive analysis of the changing automotive landscape, POSCO is advancing its technology under three strategic pillars: 1) Core Strengthening, 2) Evolution toward Value Enhancement, and 3) Expanding into Multi-material. This presentation shares POSCO’s three strategic directions for technology development and their representative case studies.
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