A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development.

Conference item


McKee, Claire, Harmanto, Dani and Whitbrook, Amanda 2018. A conceptual framework for combining artificial neural networks with computational aeroacoustics for design development. Industrial Engineering and Operations Management Society (IEOM).
AuthorsMcKee, Claire, Harmanto, Dani and Whitbrook, Amanda
Abstract

This paper presents a preliminary method for improving the design and development process in a way that combines engineering design approaches based on learning algorithms and computational aeroacoustics. It is proposed that machine learning can effectively predict the noise generated by a coaxial jet exhaust by utilizing a database of computational experiments that cover a variety of flow and geometric configurations. A conceptual framework has been outlined for the development of a practical design tool to predict the changes in jet acoustics imparted by varying the fan nozzle geometry and engine cycle of a coaxial jet. It is proposed that computational aeroacoustic analysis is used to generate a training and validation database for an artificial neural network. The trained network can then predict noise data for any operational configuration. This method allows for the exploration of noise emissions from a variety of fan nozzle areas, engine cycles and flight conditions. It is intended that this be used as a design tool in order to reduce the design cycle time of new engine configurations and provide engineers with insight into the relationship between jet noise and the input variables.

KeywordsAeroacoustics; Artificial neural networks; Machine learning
Year2018
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
PublisherIndustrial Engineering and Operations Management Society (IEOM)
ISSN21698767
Web address (URL)http://hdl.handle.net/10545/622161
hdl:10545/622161
ISBN9781532359446
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File Access Level
Open
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Publication datesMar 2018
Publication process dates
Deposited19 Feb 2018, 09:15
ContributorsUniversity of Derby
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https://repository.derby.ac.uk/item/92z3z/a-conceptual-framework-for-combining-artificial-neural-networks-with-computational-aeroacoustics-for-design-development

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