Data-Based Diagnosis Method of Multiple Blocked Channels in a Microreactor
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概要
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Blockage diagnosis is indispensable to ensure that microreactors operate effectively and stably. In this paper, we propose a data-based blockage diagnosis method using pressure sensors that can identify two blockage locations in a microreactor. The method identifies these locations by comparing measured pressure distribution data with prepared pressure distribution data for a case of blockage occurrence. The data are calculated by computational fluid dynamic (CFD) simulation. To avoid a combinatorial explosion of CFD simulations for database construction, the proposed method identifies blocked locations from just pressure distribution data when a single channel is blocked. The proposed method is applied to the blockage diagnosis problems of a microreactor with ten microchannels. The results of CFD simulations show that the method can accurately identify two blockage locations using fewer pressure sensors than there are microchannels.
著者
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Noda Masaru
Graduate School Of Information Sci. Nara Inst. Of Sci. And Technol.
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Sakamoto Nobuhide
Graduate School Of Information Science Nara Institute Of Science And Technology
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