{"title":"UFAT-a particle tracer for time-dependent flow fields","authors":"David A. Lane","doi":"10.1109/VISUAL.1994.346311","DOIUrl":null,"url":null,"abstract":"Time-dependent (unsteady) flow fields are commonly generated in computational fluid dynamics (CFD) simulations; however, there are very few flow visualization systems that generate particle traces in unsteady flow fields. Most existing systems generate particle traces in time-independent flow fields. A particle tracing system has been developed to generate particle traces in unsteady flow fields. The system was used to visualize several 3D unsteady flow fields from real-world problems, and it has provided useful insights into the time-varying phenomena in the flow fields. The design requirements and the architecture of the system are described. Some examples of particle traces computed by the system are also shown.<<ETX>>","PeriodicalId":273215,"journal":{"name":"Proceedings Visualization '94","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"106","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Visualization '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.1994.346311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 106
Abstract
Time-dependent (unsteady) flow fields are commonly generated in computational fluid dynamics (CFD) simulations; however, there are very few flow visualization systems that generate particle traces in unsteady flow fields. Most existing systems generate particle traces in time-independent flow fields. A particle tracing system has been developed to generate particle traces in unsteady flow fields. The system was used to visualize several 3D unsteady flow fields from real-world problems, and it has provided useful insights into the time-varying phenomena in the flow fields. The design requirements and the architecture of the system are described. Some examples of particle traces computed by the system are also shown.<>