Numerical investigation of store separation from cavity problems at high speeds

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Date

2023

Authors

Akay, Hasan Umur
Akay, Hasan U.

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Sage Publications Ltd

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Automotive Engineering
(2009)
Having started education in 2009, the Atılım university Department of Automotive Engineering offers an academic environment at international standards, with its education in English, a contemporary curriculum and ever-better and ever-developing laboratory opportunities. In addition to undergraduate degree education, the graduate program of multi-disciplinary mechanical engineering offers the opportunity for graduate and doctorate degree education automotive engineering. The Atılım University Automotive Engineering has been selected to be the best in Turkey in 2020 in the field of automotive engineering with studies in energy efficiency, motor performance, active/ passive automotive security and vehicle dynamics conducted in the already-existing laboratories of its own. Our graduates are employed at large-scale companies that operate in Turkey, such as Isuzu, Ford Otosan, Hattat, Honda, Hyundai, Karsan, Man, Mercedes-Benz, Otokar, Renault, Temsa, Tofaş, Toyota, Türk Traktör, Volkswagen (to start operation in 2020). In addition, our graduates have been hired at institutions such as Tübitak, Tai, Aselsan, FNSS, Ministry of National Defence, Tcdd etc. or at supplier industries in Turkey. Due to the recent evolution undergone by the automotive industry with the development of electric, hybrid and autonomous vehicle technologies, automotive engineering has gained popularity, and is becoming ever more exhilarating. In addition to combustion engine technologies, our students also gain expertise in these fields. The “Formula Student Car” contest organized since 2011 by the Society of Automotive Engineers (SAE) where our Department ranked third globally in 2016 is one of the top projects conducted by our department where we value hands-on training. Our curriculum, updated in 2020, focuses on computer calculation and simulation courses, as well as laboratory practice, catered to modern automotive technologies.

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Abstract

In this work, the ability of open-source CFD tools to conduct store separation simulations from cavities is evaluated and validated using a generic test case from the literature. Firstly, the ability and accuracy of these tools for solving cavity flows at high speeds are evaluated. Secondly, their competence in predicting the trajectory of a generic store from a generic deep cavity is checked. Finally, and in order to reduce the associated computational costs, a release-time dependability factor from the recent literature is studied and evaluated. The obtained results using the selected open-source CFD tools matched quite well with the wind tunnel results. Furthermore, the results show that predicting the release-time dependability using a quantified index/factor can be a potential remedy for reducing the computational cost for this type of CFD simulations.

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abuhanieh, saleh/0000-0002-3620-8546

Keywords

Internal bays, trajectory prediction, overset method, cavity flow, open-source computational fluid dynamics, OpenFOAM

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0

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Q4

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Volume

237

Issue

16

Start Page

3666

End Page

3680

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