Volume 1: Aircraft Engine; Fans and Blowers 2020
DOI: 10.1115/gt2020-15337
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Identification of Losses in Turbomachinery With Machine Learning

Abstract: One of the issues of handling large CFD datasets and process them to derive important design correlations is the limitation in automating the post-processing of data. Machine learning techniques, developed to process large unlabelled dataset, can play a key role on this subject. In this work an unsupervised approach to isolate different flow features inside a 2D cascade is proposed and validated. The approach relies on machine learning methods and in particular on Exploratory Data Analysis (EDA)… Show more

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