• Title/Summary/Keyword: 지능형 탈진

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Development of Intelligent IoT Exhaustion System for Bag Filter Collector (백필터 집진기의 지능형 IoT 탈진 시스템 개발)

  • Jang, Sung-Cheol;Lee, Jung-Won
    • Journal of Internet of Things and Convergence
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    • v.5 no.1
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    • pp.29-34
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    • 2019
  • A bag filter collector is a kind of air purifier that organizes several or dozens of filters to purify fine dust and release clean air into the atmosphere. If the bag filter length is less than 5m, the dust and fume attached to the bag filter could be effectively removed by passing the compressed air generated by the diaphragm valve through the venturi. Injectors that are more efficient and economical are urgently needed to achieve satisfactory results for long-bag exhaustion of more than 7 meters. In the case of existing domestic and foreign injectors, a number of blow tubes were dismantled during maintenance, and the injector and blow tube were combined to pose a number of problems, including inconvenience of work due to weight increase. In this study, injector flow for the development of the best use of interpretation of the coanda effect and the fourth round of industrial technology Intelligent automation of exhaustion, have been engineered energy than standard equipment. lowering costs and filter life to radically improve the commercial studies.

Development of Injection Tubes for Intelligent High-Efficiency Exhausted Injector (지능형 고효율 탈진 인젝터의 분사관 개발)

  • Jang, Sung-Cheol;Lee, Kyung-Jun;Lee, Jung-Won
    • Journal of the Korean Society of Industry Convergence
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    • v.20 no.1
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    • pp.74-80
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    • 2017
  • This study aimed to evaluate the validity of an exhausted injector design for filtration system and the performance characteristics thereof. The evaluation was intended through computational fluid dynamics(CFD) analysis based on computer simulation rather than through prototype fabrication and testing. Furthermore, the design of experiment was used to create an experimental design table by which the reaction characteristics of response factors were analyzed for design parameters. All experiments were substituted with computer simulations. Lastly, an optimal design model for the injection tubes was determined based on response surface method algorithms.