화학공학소재연구정보센터
학회 한국공업화학회
학술대회 2021년 봄 (05/12 ~ 05/14, 부산 벡스코(BEXCO))
권호 25권 1호
발표분야 포스터-화학공정
제목 Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model
초록 Toluene diisocyanate (TDI) is an important raw material to produce a flexible polyurethane  foam.The cold phosgenation reactor plays a vital role in the production of TDI, in that the overall reaction selectivity is determined and the most of by-product urea, which is critical to the entire downstream process, is produced inside the reactor. In this research, we develop a framework for designing and  optimizing TDI reactors through Bayesian optimization methods.A comprehensive 3-dimensional computational fluid dynamics (CFD) reactor model is incorporated into the Gaussian process (Kriging) to construct a surrogate model. As a result, the optimal design is obtained,, demonstrating that the proposed framework will help efficiently achieve the optimal design of the expensive CFD reactor models that demand a high computational cost and time for evaluation.
저자 Mohammed Atwair, 이철진
소속 중앙대
키워드 Toluene diisocyanate production; Jet type reactor; Computational fluid dynamics;
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