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Multi-Disciplinary Optimization of Radial and Mixed-Inflow Turbines for Turbochargers

Written by Prof. Zangeneh (ADT / University College of London) & J. Zhang (ADT)

What's inside?

The paper highlights The Multi-Disciplinary Optimization of Radial and Mixed-Inflow Turbines for Turbochargers. The radial and mixed-inflow turbines have been widely used for the turbocharger application. The design of a turbocharger turbine with good performance still presents a lot of challenges. Apart from the traditional requirements such as high efficiency and low stress, the turbine blade is also required to achieve certain performance targets at multiple operating points, high unsteady efficiency under pulsating flow condition, reduced moment of inertia (MOI) and high vibration characteristic.

 

Multi-Disciplinary Optimization of Radial

 

In this publication, you will:

  1. See a design method that integrates DoE, Inverse Design and RSM as part of a multidisciplinary optimization
  2. How  using inverse design can overcome the challenges of conventional approaches when addressing this type of multi-objective problem
  3. Understand the sensitivities of different design parameters in the turbine optimization and how each affects the overall performance
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