metal being 3-d printed

Improving Metal Additive Manufacturing with Integrated Materials Modeling

This ASM International webinar discusses how materials modeling tools such as Thermo-Calc can help you improve additive manufacturing.

The webinar includes three case studies showing how Thermo-Calc has already been applied to this rapidly advancing field.

Speaker: Adam Hope, Applications Support Specialist, Thermo-Calc Software Inc.
Hosted by Joanne Miller, Editor, ASM International


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What You Will Learn 

In this webinar, attendees will learn about the CALPHAD approach, including:

  • Applying CALPHAD data to mechanical/thermal FEA models
  • Calculating material data as a function of temperature and composition
  • Predicting solidification behavior at nonequilibrium cooling rates
  • Determining proper homogenization treatment temperatures
  • Predicting solidification cracking susceptibility
  • Case studies of successful deployment in the additive literature

About the Webinar

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. 

About the Speaker

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. 
 

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