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The Reactive Response Surface (RRS) optimizer is a Machine Learning method that efficiently finds optimal solutions by intelligently selecting data...

A new methodology uses 3D Inverse Design technology coupled with Reactive Response Surface (RRS) Machine Learning to rapidly optimize Francis...

The centrifugal compressor design process can be significantly accelerated and enhanced using 3D Inverse Design paired with a Reactive Response...

The present paper describes the parametric design of a mixed-flow water-jet pump. The pump impeller and diffuser geometries were parameterized by...

The design of efficient centrifugal pumps is being revolutionized by combining 3D Inverse Design with a Reactive Response Surface (RRS) Machine...

Axial fan design is optimized using 3D Inverse Design combined with the Reactive Response Surface + CAE Machine Learning method. The system used only

This article outlines the essential building blocks needed to create a practical Machine Learning (ML) system for axial fan design, which is...

What are the design targets? The project involves the design and optimization of a high specific speed centrifugalpump stage. The optimized stage...

In the first part of this article, we showed how to perform the initial design of a radial inflow turbine rotor using the 3D inverse design method.

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