Abstract

Additive manufacturing (AM) offers the advantage of fabricating geometrically complex components. However, these components often present unique microstructures and pose challenges in post-build machining, resulting in significant variation in performance, particularly in fatigue life. Quantifying the effects of microstructure and surface roughness is essential for accelerating industrial adoption of AM technologies. In this seminar, we discuss how high-fidelity computational models can be applied to investigate and predict micro-crack formation under cyclic loading conditions and how high-performance computing (HPC) can be transferred to engineering level deliverable for industries. The efforts combine microstructure-based crystal plasticity models, short crack growth models, Monte Carlo simulations and reduced order-modeling (ROM), supported by experimental characterization, calibration and validation. These integrated approaches offer a pathway toward robust, physics-informed design tools for fatigue-critical AM components.

Speaker

Dr. Jamey Jacob

Jiahao Cheng is an R&D associate staff in Manufacturing Science Division of Oak Ridge National Laboratory. He received his Ph.D. from Johns Hopkins University in 2016. His research mainly focus on microscale modeling of mechanical behavior of metallic materials (fatigue, creep, damage and crack, twinning and solid state phase transformation, etc), constitutive model development, the finite element numerical algorithm development, and multi-physics thermo-chemical-mechanical modeling and simulations. Most of his work are based on industrial collaborations with applications to energy-intensive manufacturing process.