Physics Informed Machine Learning for Engine Performance Simulations
Shakti Saurabh — Cummins
Event Type: GT Events & Conferences
Simulation Based Development of a Novel Dedicated Hybrid Engine for Light Duty Applications
Aramco Americas
Automating Model Development Processes Using Python
Aaron Heagle — Cummins
Optimization of Light Commercial Vehicle Thermal Management via Multi-Physics Simulation
Emanuele Servetto — GTE
Effectiveness characterization of Hydrocarbon Trap (HCT) System for LD SI engines
Praveen Kumar — Aramco Americas
Leveraging ML for Pre-CAE Design of an Accessory Belt Drive
Sohail Anwar — Generac
Trade-Off Analysis and Systematic Optimization of Hybrid Powertrain for a Pickup Truck
Dhanraj — FEV
Cornering Maneuver Simulations for Torque Vectoring and Electronic Differential Development
Manuel Marquez — Aramco Americas
Simulation and Analysis of Electric Motor Failure During eVTOL Aircraft Operations in Turbulent Airwake
Jan Goericke — Advanced Rotorcraft Technology