
Meet Us at ASME Turbo Expo 2026 in Milan!
Discover how to drastically shorten your turbomachinery design cycles using 3D Inverse Design and Machine Learning.
Designing high-performance turbomachinery often means getting stuck in time-consuming, incremental design-and-analysis loops. It drains resources and delays time-to-market.
At ADT, we believe you should be in direct control of the aerodynamic design process. With TURBOdesign Suite, you can replace guesswork with physics-driven precision.
By combining our unique 3D Inverse Design methodology with advanced Machine Learning, your team can:
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Eliminate Costly Iterations: Stop tweaking blade shapes manually. Specify your target blade loading and let the physics dictate the optimal geometry.
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Optimize for Multiple Objectives: Rapidly balance peak efficiency with strict cavitation control and structural constraints.
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Explore Vast Design Spaces: Generate high-fidelity, optimal solutions in a fraction of the time it takes using traditional direct design methods.
We are also excited to announce that Prof. Mehrdad Zangeneh will be presenting our latest paper, "Machine Learning based Optimization of a LH2 Turbopump with Combined Inducer-Impeller Configuration."
SESSION 36-08, GT2026-177081 / Thursday, June 18, 8:00 AM - 10:00 AM.
This study details the baseline design and multi-objective optimization of a compact liquid hydrogen (LH2) turbopump featuring a combined inducer-impeller.
Using TURBOdesign Suite’s 3D inverse design, the baseline geometry is developed and evaluated against a traditional, separate inducer-impeller stage via CFD. To optimize the turbopump, a small-dataset machine learning workflow, combining Kriging-based Reactive Response Surface (RRS) models with MOGA—is used to maximize multipoint efficiency and rated suction performance.
Multi-phase CFD validates that the optimized design successfully reduces required NPSH and cavitation. Results confirm this RRS workflow provides an accurate, robust, and time-saving method for enhancing rocket turbopumps.
Authors: Prof. Mehrdad Zangeneh, Mohammad Mahdi Ghorani and Melvin Joseph.
Complete the form to:
✅ Schedule a Meeting: Secure a time to speak with Prof. Zangeneh or Lorenzo Bossi at the event.
✅ Get the Research: Receive a digital copy of the paper after the conference concludes.
✅ See the Software: Learn how TURBOdesign Suite generates breakthrough designs without the manual guesswork.
