Knowledge Hub

This paper reveals how 3D inverse design and machine learning consolidate rocket turbopump blades, slashing NPSHr by 18% with under 0.3% prediction error.

In this webinar, learn the complete digital workflow for micro turbine gas path design using TURBOdesign Suite and Simcenter. From system sizing to rotor dynamics validation.

The paper demonstrates how to optimize axial turbines using 3D inverse design and genetic algorithms to balance aerodynamic performance with structural stress limitations.

In this webinar,  we propose to use some aerodynamic and mechanical performance parameters from an inverse design solution and a direct optimisation approach to perform the multidisciplinary optimisation.

In this webinar, we’ll show the novel design and optimisation strategy coupling the 3D inverse approach and DoE study that is developed to design a transonic centrifugal impeller. The redesigned compressor has better efficiency across most parts of the map, and the maximum pressure ratio is also slightly improved.

In this webinar, attendees will witness how the inverse design method creates the blade geometry based on specific blade loading parameters and spanwise work distribution requirements. You will also discover how a fast design optimization process focused on suppressing the dominant loss mechanisms without adversely impacting the blade stress. 

In this webinar, you will learn how to optimise blade loading in centrifugal compressors, which can massively enhance the performance compared to conventional centrifugal compressors blade loading designs. And discover how 3D inverse design can be used to efficiently design centrifugal compressors with optimum blade loading.

In this paper, a novel design and optimisation strategy is presented, coupling the 3D inverse approach and DoE (design of experiment) study that is developed.

In this paper, a fast automated optimization workflow using a 3D inverse design method is presented, coupled with a multi-objective genetic algorithm.