{"title":"Optimizing a Segmented Transmission Line Model for Dynamic Flows in Arbitrarily Tapered Pipelines","authors":"T. Wiens","doi":"10.1115/ajkfluids2019-4773","DOIUrl":null,"url":null,"abstract":"\n Previous work by the authors has presented a new method of modeling dynamic laminar flows in pipelines with changing cross sectional area. This method utilizes a number of Transmission Line Models (TLM), each with a single linear taper, as segments to model the pipeline. The Segmented Transmission Line Model (STLM) allows for fast computation, especially with the use of a variable time-step ODE solver for a system-level simulation (typically required for modeling of fluid power components). This paper presents an optimized version, including best practices for segmenting the pipeline based on accuracy and computation time.","PeriodicalId":314304,"journal":{"name":"Volume 1: Fluid Mechanics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Fluid Mechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/ajkfluids2019-4773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Previous work by the authors has presented a new method of modeling dynamic laminar flows in pipelines with changing cross sectional area. This method utilizes a number of Transmission Line Models (TLM), each with a single linear taper, as segments to model the pipeline. The Segmented Transmission Line Model (STLM) allows for fast computation, especially with the use of a variable time-step ODE solver for a system-level simulation (typically required for modeling of fluid power components). This paper presents an optimized version, including best practices for segmenting the pipeline based on accuracy and computation time.