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Case Data Analysis Tool for PowerFLOW
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Flight Dynamics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Case Data Analysverktyg for PowerFLOW (Swedish)
Abstract [en]

The field of computational fluid dynamics (CFD) is exponentially growing in terms of performance, robustness, and applications. The expansion of CFD also means more users and more simulations, which translates into more human errors and mistakes in the simulation set up. Because the simulation set up should be the correct in order to accurately reproduce the desired phenomenon, such errors must be mitigated in order to increase the reliability and robustness of the simulations. In this project a tool has been developed to tackle this issue, within the CFD software SIMULIA PowerFLOW. The tool extracts and analyzes the data of the cases before simulation, reporting the results to the user for error detection. The present work aims to present the implementation, the application and the benefits of the designed tool.

Abstract [sv]

Strömningsmekaniska beräkningar (CFD) området växer exponentiellt med avseende på prestanda, robusthet och tillämpningar. Expansionen av CFD bidrar även till er användare och simuleringar, vilket i sin tur leder till er mänskliga fel och misstag i uppsättningen av simuleringar. Eftersom simuleringsuppsättningen behöver vara korrekt för att återskapa önskade fenomen, behöver sådana fel undvikas för att kunna öka simuleringens tillförlitlighet och robusthet. Med avseende på detta utvecklades ett verktyg i CFD mjukvaran SIMULIA PowerFLOW. Verktyget extraherar och analyserar inställningarna före simulering och rapporterar resultaten till användaren för feldetektering. Det här arbetet redogör för utvecklingen, tillämpningen och fördelarna med framställda verktyget.

Place, publisher, year, edition, pages
2019. , p. 57
Series
TRITA-SCI-GRU ; 2019:295
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-262008OAI: oai:DiVA.org:kth-262008DiVA, id: diva2:1360232
External cooperation
SIMULIA
Examiners
Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-11Bibliographically approved

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Output format
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