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Droplet size prediction model based on the upper limit log-normal distribution function in venturi scrubber 원문보기

Nuclear engineering and technology : an international journal of the Korean Nuclear Society, v.51 no.5, 2019년, pp.1261 - 1271  

Lee, Sang Won (Korea Hydro and Nuclear Power - Central Research Institute) ,  No, Hee Cheon (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)

Abstract AI-Helper 아이콘AI-Helper

Droplet size and distribution are important parameters determining venturi scrubber performance. In this paper, we proposed physical models for a maximum stable droplet size prediction and upper limit log-normal (ULLN) distribution parameters. For the proposed maximum stable droplet size prediction ...

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참고문헌 (33)

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