Recurrent Neural Network Flow Rate Modeling of Piezoelectric Injectors in Cooling Testbeds

No AccessTechnical NotesRecurrent Neural Network Flow Rate Modeling of Piezoelectric Injectors in Cooling TestbedsAndrew G. Fordon, Fernando Soria, Yunjun Xu and Shawn A. PutnamAndrew G. Fordon https://orcid.org/0000-0001-5677-6789University of Central Florida, Orlando, Florida 32826*Graduate Research Assistant, Department of Mechanical and Aerospace Engineering; .Search for more papers by this author, Fernando SoriaUniversity of Central Florida, Orlando, Florida 32826†Graduate Research Assistant, Department of Mechanical and Aerospace Engineering; .Search for more papers by this author, Yunjun XuUniversity of Central Florida, Orlando, Florida 32826‡Professor, Department of Mechanical and Aerospace Engineering; . Associate Fellow AIAA.Search for more papers by this author and Shawn A. PutnamUniversity of Central Florida, Orlando, Florida 32826§Associate Professor, Department of Mechanical and Aerospace Engineering; Search for more papers by this authorPublished Online:4 Jul 2023https://doi.org/10.2514/1.T6833SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Liang G. and Mudawar I., “Review of Spray Cooling—Part 1: Single-Phase and Nucleate Boiling Regimes, and Critical Heat Flux,” International Journal of Heat and Mass Transfer, Vol. 115, Dec. 2017, pp. 1174–1205. https://doi.org/10.1016/j.ijheatmasstransfer.2017.06.029 CrossrefGoogle Scholar [2] Gao X. and Li R., “Spray Impingement Cooling: The State of the Art,” Advanced Cooling Technologies and Applications, edited by Sohel Murshed S. M., IntechOpen, London, 2019, Chap. 3. https://doi.org/10.5772/intechopen.80256 Google Scholar[3] Liu P., Kandasamy R. and Wong T. 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TopicsAlgorithms and Data StructuresArtificial Neural NetworkComputing and InformaticsComputing SystemComputing, Information, and CommunicationCooling TechnologyData ScienceOptimization AlgorithmThermophysics and Heat Transfer KeywordsArtificial Neural NetworkCooling TechnologyBroyden Fletcher Goldfarb ShannoAcknowledgmentsThis work was supported by the National Science Foundation (grant number 2032764). The authors would like to thank Christopher Souchik for his introduction of the recurrent neural network method.PDF Received28 February 2023Accepted2 June 2023Published online4 July 2023