Using 3D Inverse Design to Perform Multidisciplinary Optimizations of Turbines for Turbochargers
A methodology for designing radial and mixed-inflow turbines to meet multiple aerodynamic and mechanical requirements is presented in this paper. The method couples a 3D Inverse Design code and Design of Experiment Method (DoE), along with a Response Surface Method (RSM) to design turbines which meet various design criteria.
The design of radial turbines for turbocharger applications poses difficult multi-disciplinary challenges. The turbine has to maximize power output from a pulsating flow from engine with variations in total pressure and temperature at inlet, have low inertia and yet withstand high stresses at relatively high temperatures and have high stiffness against vibration. This creates a difficult multi-point problem that's challenging to meet with conventional design methods. This paper explores how to use an alternative, inverse design based optimization strategy.
In this paper:
- See a design method that integrates DoE, Inverse Design and RSM as part of a multidisciplinary optimization
- How using inverse design can overcome the challenges of conventional approaches when addressing this type of multi-objective problem
- Understand the sensitivities of different design parameters in the turbine optimization and how each affects the overall performance
