Feb. 19, 2024, 5:42 a.m. | Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani, Giovanni Stabile, Gianluigi Rozza

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10641v1 Announce Type: cross
Abstract: This paper aims to comprehensively investigate the efficacy of various Model Order Reduction (MOR) and deep learning techniques in predicting heat transfer in a pulsed jet impinging on a concave surface. Expanding on the previous experimental and numerical research involving pulsed circular jets, this investigation extends to evaluate Predictive Surrogate Models (PSM) for heat transfer across various jet characteristics. To this end, this work introduces two predictive approaches, one employing a Fast Fourier Transformation augmented …

abstract arxiv cs.ce cs.lg cs.na deep learning deep learning techniques experimental heat math.na numerical paper predictive research surface transfer type

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