Modern Machine Learning for Jet Engine and Gas Turbine Applications
On Demand
SmartUQ is a powerful AI, machine learning (ML), and Uncertainty Quantification software tool originally developed for a Fortune 100 jet engine manufacturer, where it has delivered significant value. SmartUQ has a wide variety of tools including industry-leading Design of Experiments (DOEs), predictive machine learning models (sometimes called emulators or surrogate models), statistical calibration, sensitivity analysis, uncertainty propagation, and stochastic and reliability-based optimization. These tools are recognized by engineers at numerous Fortune 500 manufacturing companies for their unprecedented accuracy, speed, and flexibility, making SmartUQ a one-of-its-kind platform for enabling drastic savings in engineering time and cost.
The first half of this presentation will provide an introduction to SmartUQ software, including a live demonstration. This will be followed by a discussion of how SmartUQ can be applied to jet engine and gas turbine applications such as high and low pressure compressor, combustor, and fan module applications. The session will conclude with Q&A.
Presented by Gavin Jones, Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.