{"title":"Truncated Cone - A Universal Primitive Shape for Axisymmetric View Factor Systems","authors":"Peter Cumber","doi":"10.1115/1.4064154","DOIUrl":null,"url":null,"abstract":"It is demonstrated that axisymmetric view factor systems can be modelled as a composite of truncated cones. For the hemisphere primitive shape, it is represented as a composite of truncated cones. One conclusion of the investigation is eight truncated cones are required to give a reasonable approximation to a hemisphere. The sensitivity of the run-time for the Monte-Carlo methods to the number of surfaces is investigated and the run-time of the Monte-Carlo method combined with ray tracing scales as the square of the number of surfaces, whereas the run-time of the hybrid Monte-Carlo method scales in a weakly linear way with the number of surfaces. Representing a hemisphere with 8 surfaces, for the view factor system considered and an RMS threshold of 0.001 the hybrid Monte-Carlo method and quasi-Monte-Carlo method have a speed-up of 8.3 and 55 compared to the Monte-Carlo method with ray tracing.","PeriodicalId":505153,"journal":{"name":"ASME Journal of Heat and Mass Transfer","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASME Journal of Heat and Mass Transfer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4064154","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
It is demonstrated that axisymmetric view factor systems can be modelled as a composite of truncated cones. For the hemisphere primitive shape, it is represented as a composite of truncated cones. One conclusion of the investigation is eight truncated cones are required to give a reasonable approximation to a hemisphere. The sensitivity of the run-time for the Monte-Carlo methods to the number of surfaces is investigated and the run-time of the Monte-Carlo method combined with ray tracing scales as the square of the number of surfaces, whereas the run-time of the hybrid Monte-Carlo method scales in a weakly linear way with the number of surfaces. Representing a hemisphere with 8 surfaces, for the view factor system considered and an RMS threshold of 0.001 the hybrid Monte-Carlo method and quasi-Monte-Carlo method have a speed-up of 8.3 and 55 compared to the Monte-Carlo method with ray tracing.