Send us a text This month we talk about understanding and optimizing tribological performance is vital for improving fuel efficiency, extending component lifespan, and reducing emissions in modern vehicles. Dr. Nolan Chu from Auburn University and Dr. Arup Gangopadhyay from Ford Motor Company will share insights into the complex computational models being developed to predict and mitigate wear in critical areas such as engines, transmissions, and brake systems. We’ll discuss the challenges of...
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Send us a text This month we talk about understanding and optimizing tribological performance is vital for improving fuel efficiency, extending component lifespan, and reducing emissions in modern vehicles. Dr. Nolan Chu from Auburn University and Dr. Arup Gangopadhyay from Ford Motor Company will share insights into the complex computational models being developed to predict and mitigate wear in critical areas such as engines, transmissions, and brake systems. We’ll discuss the challenges of...
October 2024 - Artificial Intelligence and Machine Learning in Tribology Update
Perfecting Motion®
45 minutes
1 year ago
October 2024 - Artificial Intelligence and Machine Learning in Tribology Update
Send us a text For our October episode we are following up with instructors from the Artificial Intelligence and Machine Learning education course from our 2024 STLE Annual Meeting in Minneapolis. Returning from that course is Max Marian of Leibniz Universität Hannover, Nick Garabedian of Karlsruhe Institute of Technology, and Omar Zouina of Karlsruhe Institute of Technology moderates as we discuss updates to this rapidly evolving field and it's advancements related to Tribology. ...
Perfecting Motion®
Send us a text This month we talk about understanding and optimizing tribological performance is vital for improving fuel efficiency, extending component lifespan, and reducing emissions in modern vehicles. Dr. Nolan Chu from Auburn University and Dr. Arup Gangopadhyay from Ford Motor Company will share insights into the complex computational models being developed to predict and mitigate wear in critical areas such as engines, transmissions, and brake systems. We’ll discuss the challenges of...
