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2023 | OriginalPaper | Chapter

Comparison of Prediction Accuracy Between Interpolation and Artificial Intelligence Application of CFD Data for 3D Cavity Flow

Authors : M. Diederich, L. Di Bartolo, A. C. Benim

Published in: Frontiers in Industrial and Applied Mathematics

Publisher: Springer Nature Singapore

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Abstract

The chapter delves into the comparison of prediction accuracy between interpolation and AI techniques for 3D cavity flow using CFD data. It begins by introducing the parallel developments in AI and CFD, followed by a detailed test case using a 3D cavity problem with experimental data. The chapter then explores mathematical and numerical flow modeling using ANSYS Fluent, and develops two approaches: a simple interpolation model and an advanced AI model using Keras. The accuracy of these models is quantitatively evaluated using two error calculations, and the results show that while both models perform well at higher Reynolds numbers, the interpolation model outperforms the AI approach at lower Reynolds numbers. The chapter concludes with a comparison of the velocity profiles along traversal lines and discusses future developments for a supervision tool that will compare predictions and form smaller submodels for areas with significant differences.

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Title: Comparison of Prediction Accuracy Between Interpolation and Artificial Intelligence Application of CFD Data for 3D Cavity Flow
Authors: M. Diederich
L. Di Bartolo
A. C. Benim
Publisher: Springer Nature Singapore
Book: Frontiers in Industrial and Applied Mathematics
Print ISBN: 978-981-19-7271-3

Electronic ISBN: 978-981-19-7272-0

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-981-19-7272-0_35

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