Data Driven Approach to Dislocation-Based Plasticity Models of Face-Centered Cubic Metals

Technical Report · 31 July 2023

DOI:https://doi.org/10.2172/2371625· OSTI ID:2371625

Cai, Wei ^[1]

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1. Stanford Univ., CA (United States); Office of Basic Energy Sciences

Dislocation dynamics controls plastic deformation, mechanical strength, and failure of crystalline materials. It also governs fatigue resistance under cyclic loading, creep resistance at elevated-temperature, and radiation resistance for reactor applications. There is a compelling need for understanding fundamental dislocation mechanisms for deformation because virtually all structural metals used in energy systems are fabricated to desired forms and shapes by deformation processes. To date, the most outstanding problem in a physics-based multiscale model of crystal plasticity is the lack of quantitative connections between continuum plasticity (CP) models with the lower scale dislocation models. As a result, existing CP models used in engineering applications are still phenomenological, while evidence continues to mount that they can make inaccurate predictions under realistically complex scenarios. This project takes advantage of the recent advances in high-performance discrete dislocation dynamics (DDD) simulations and data science approaches to establish the first fully connected multiscale plasticity model for pure face-centered cubic (FCC) single crystals.

• Research Organization: Stanford Univ., CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Basic Energy Sciences (BES)
• DOE Contract Number: SC0010412
• OSTI ID: 2371625
• Report Number(s): DOE-DE--SC0010412
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
crystal plasticity
dislocation dynamics
strain hardening