科技报告详细信息
INNOVATIVE INSTRUMENTATION AND ANALYSIS OF THE TEMPERATURE MEASUREMENT FOR HIGH TEMPERATURE GASIFICATION
Lee, Seong W.
Morgan State University (United States)
关键词: Dusts;    Thermocouples;    Testing;    01 Coal, Lignite, And Peat;    Gasification;   
DOI  :  10.2172/824861
RP-ID  :  NONE
RP-ID  :  FG26-02NT41681
RP-ID  :  824861
美国|英语
来源: UNT Digital Library
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【 摘 要 】

An extensive literature survey on the proposed subject has been conducted in the Center for Advanced Energy Systems and Environmental Control Technologies at Morgan State University. About forty-five related journals and technical reports have been reviewed for the references of the project preparation. Two different types of thermocouples (T-type for the cold model testing, R-type for the hot model testing) have been purchased for the project. The thermocouple assembly for the cold model testing has been designed and fabricated. The cold model of the proposed gasification simulator has been designed and fabricated. The cold model is made of a transparent acrylic tube with 10-inch ID and 20-inch length. This model allows them to observe the phenomena of the gasification process, which may cause dirty and harsh environments around the thermocouples. Two pairs of flanges were made to host the irritating air injection ports, thermocouple assembly, and seal the cold model system. The air injection system is attached to the cold model testing system, which includes an air compressor, an air control valve and the auxiliary tubes. The char coal dust mixtures are used in the cold model to simulate the gasifier environment. The experiment design technique is being carefully implemented along with 4 different testing parameters; char coal dust weights, irritating air flow rates, irritating air frequency and the ultrasound applications. The sample temperature curves have been obtained from the cold model shakedown testing. The test results are being carefully recorded and analyzed. The testing for ultrasound cleaning application in the cold model will be conducted. The analysis of the test results will be continued using the analysis of variances (ANOVA) and regression analysis methods. The progress of this project has been on schedule.

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