화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2021년 가을 (10/27 ~ 10/29, 광주 김대중컨벤션센터)
권호 27권 2호, p.1562
발표분야 공정시스템
제목 Autonomous Exploration of Catalyst Shape with Blender-CFD based Multi-Objective Bayesian Optimization
초록 In the field of chemical processes, fixed-bed reactor is generally used. Recently, advances of devices and methods in computational fluid dynamics (CFD) simulations, enabled consideration of particle shape rather than using porosity of reactor. This study aims to determine optimal catalyst shape for specific reactions by using closed-loop system consisted of automated packed bed reactor (PBR) generator part and optimization applied CFD simulation part. PBR generator part is handled with Bullet Physics Library and rigid-body model (both in the open-source software Blender) and CFD simulation part used multi-objective Bayesian optimization for the catalyst shape optimization. It is shown that random PBR packing using the Blender achieved quite exact simulation for porosity and particle orientation compared to experimental one with much faster calculation. Further, we developed model to maximize conversion and selectivity for reactions, such as VOCs oxidation, by adopting different shapes of catalyst such as cylinder, sphere, Raschig ring, and several more others. Finally, this model significantly reduced simulation time respect to discrete element method with comparable precision.
저자 강우진1, 이예송2, 나종걸2, 이원보1
소속 1서울대, 2이화여대
키워드 공정최적화
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