Sponsoring Company: QuesTek Innovations LLC
DATE & TIME: November 16, 2023, 2pm EST
REGISTER HERE
MC: Bob Braughler
Title: Physics-based modeling & machine learning to solve materials challenges
Speaker: Gary Whelan, Senior Materials Design Engineer
Description: This Webinar is a part of a series by QuesTek designed to introduce attendees to Integrated Computational Materials Engineering (ICME), the advantages it provides, and how it may be used to solve materials challenges. In this webinar, the use of machine learning to complement physics-based materials modeling will be discussed. We will also discuss how QuesTek’s ICMD® software currently utilizes machine learning to amplify the core physics-based modeling tools to enable users to arrive at materials solutions as efficiently and effectively as possible.
In this webinar, attendees will learn about:
- Different scenarios where machine learning can be leveraged to amplify ICME workflows.
Speaker Biography:
Gary Whelan is a Senior Materials Design Engineer at QuesTek Innovations. Gary has experience utilizing ICME to model process-structure-property relationships for metal alloys of various material classes (e.g., Steel, Aluminum, Nickel, Titanium) and for various industry applications (e.g., Aerospace, Oil & Gas, Medical, Automotive). Specifically, Gary’s research efforts have largely focused on physics-based simulation and machine learning applied to fatigue in metallic components, with an emphasis on additive manufacturing. Gary received his PhD from Georgia Tech in 2020 where he focused on fatigue in Titanium and Aluminum alloys for aerospace applications.
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Carrie Hawk
ASM International
Community Engagement Specialist
440-338-5497
carrieh@asminternational.org
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