Fuel sloshing noise prediction just got smarter using AI

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The Kautex Textron validation engineering team used Monolith’s self-learning models to solve a complex fuel “sloshing” problem, reducing design iterations, prototyping and testing costs. They were able to accurately predict fuel sloshing noise during vehicle deceleration, opening the door for engineers to use AI to solve further engineering challenges.

Predict fuel sloshing noise with unprecedented accuracy using a data-driven approach

Fuel sloshing noise prediction during vehicle deceleration has long been a difficult challenge for engineers to model, test and understand.

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