화학공학소재연구정보센터
학회 한국공업화학회
학술대회 2021년 봄 (05/12 ~ 05/14, 부산 벡스코(BEXCO))
권호 25권 1호
발표분야 [화학공정] AI 기반 공정시스템 기술
제목 Multiscale Modeling and Control of pulp digester for sustainability of pulp industry in the pandemic of COVID-19
초록 We will focus on the pulp and paper industry (PPI) which is undergoing a paradigm shift triggered by the online shopping boom as well as the unprecedented trend toward hygiene products to reduce the risk of COVID-19. Despite the critical role of fiber morphology in dictating final paper quality, there exist fundamental knowledge gaps regarding (i) how fiber morphology is influenced by macroscopic variables, (ii) how fiber-to-fiber heterogeneity affects overall pulping performance, and (iii) how frequent product grade transitions can be mitigated to reduce economic loss. Dr. Kwon will fill these knowledge gaps utilizing novel multiscale models and two-tier control systems. The developed approach will lower break-even price with respect to paper by improving manufacturing efficiencies, reducing waste production and harmful emissions, and driving sustainable growth via efficient use of renewable resources.
저자 Joseph Sang-II Kwon
소속 Texas A&M Univ.
키워드 Multiscale modeling; Model predictive control; Koopman operator
E-Mail