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In this webinar, attendees will learn about the CALPHAD approach, including:
The 2008 National Academies report on Integrated Computational Materials Engineering (ICME) highlighted the need for better integration and linking of multiscale materials models to capture the process-structure-properties-performance of a material. This is especially true for metal additive manufacturing where it is almost impossible to model this integrated process without simultaneously considering solidification, thermal cycling and material changes.
Computational thermodynamics and CALPHAD-based tools are an important component of an ICME framework. CALPHAD describes the underlying thermodynamics, kinetics and resultant phase balance as a function of temperature and alloy composition. Data can be calculated for specific material compositions, such as heat-to-heat variations or when designing new alloys.
These data can be used to improve process models. Using such data enables the prediction of location-specific material behavior and thermo-physical properties during solidification and reheating cycles. Post-build heat treatment temperatures and times can also be optimized, reducing the need for time-consuming and costly experimental builds and materials testing.
This webinar was presented in October 2018.
Adam Hope received his Ph.D. in welding engineering at The Ohio State University in 2016. His work focused on combining computational and experimental techniques to predict susceptibility to weld cracking and developing new weld metal compositions for nuclear power applications. After graduating, Adam joined Thermo-Calc Software where he provides applications support.