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Recent Articles

TURBOdesign Suite Release 2025.2

TL;DR: TURBOdesign Suite 2025.2 Release

The 2025.2 release is focused on speed, automation, and manufacturing readiness for turbomachinery design.

What is Reactive Response Surface (RRS )?

TL;DR

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

Machine Learning for Hydraulic Francis Runner Design Optimization

TL;DR

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

Machine Learning for Centrifugal Compressor Design

TL;DR

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

Parametric Design of a Waterjet Pump by Means of Inverse Design, CFD Calculations and Experimental Analyses

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

Machine Learning for Centrifugal Pump Design

TL;DR

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

Machine Learning Optimizes Axial Fan Design

TL;DR

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

Machine Learning for Axial Fan Design

TL;DR

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

Consultancy Summary: Design and Optimization of a Centrifugal Pump Stage

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

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