Learn about a new method to predict heat rejection early in engine development using software-based virtual testing that is backed up by data from physical tests.
Conventionally predicting heat rejection is done using physical engine prototypes and test benches. This implies high cost to make changes and optimize the engine design. Ideally, issues with heat rejection need to be identified early in the design cycle, before the first hardware has been built.
This white paper describes a new method around Computational Fluid Dynamics (CFD) and system simulation developed by InDesA GmbH to predict heat rejection using software-based virtual testing that is backed up by data from physical tests.
- Supplementing physical with virtual testing
- Calibrating simulation models based on 1D and 3D representation of fluid flow and heat transfer
- Replacing the physical test cell with a virtual underhood environment