{"title":"Three-dimensional temperature profiling of oxy-gas burner flames","authors":"M. Hossain, G. Lu, Xinli Li, Yong Yan","doi":"10.1109/IST.2013.6729669","DOIUrl":null,"url":null,"abstract":"This paper presents the three-dimensional temperature measurement of an oxy-gas burner flame based on optical tomographic and two-color techniques. Eight two-dimensional (2-D) image projections of the flame are obtained concurrently by multiple imaging fiber bundles and imaging sensors. The LFBP (Logical Filtered Back-Projection) algorithm combined the SART (Simultaneous Algebraic Reconstruction Technique) is utilized to reconstruct the gray-level intensity of the flame based on its 2-D images. The flame temperature distribution is then determined using the reconstructed gray-levels through the two-color pyrometry. Experiments were undertaken under different oxy-fuel conditions. The results show that the flame temperature increases with the O2 concentration and that the temperature distribution of the oxy-fuel flame is more uniform at the root region than that at other regions.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST.2013.6729669","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
This paper presents the three-dimensional temperature measurement of an oxy-gas burner flame based on optical tomographic and two-color techniques. Eight two-dimensional (2-D) image projections of the flame are obtained concurrently by multiple imaging fiber bundles and imaging sensors. The LFBP (Logical Filtered Back-Projection) algorithm combined the SART (Simultaneous Algebraic Reconstruction Technique) is utilized to reconstruct the gray-level intensity of the flame based on its 2-D images. The flame temperature distribution is then determined using the reconstructed gray-levels through the two-color pyrometry. Experiments were undertaken under different oxy-fuel conditions. The results show that the flame temperature increases with the O2 concentration and that the temperature distribution of the oxy-fuel flame is more uniform at the root region than that at other regions.