6. Systems, information, and simulation technologies

`SCEJ 86th Annual Meeting (2021)`

Last modified: 2023-05-15 19:09:22

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Session programs : 6. Systems, information, and simulation technologies

The preprints can be viewed by clicking the Paper IDs.
Online attendance to Oral sessions and Browse of Posters are avilable at the SCEJ online Meeting site GOING VIRTUAL.
(The ID/PW sent to the registered participants and invited persons on Mar. 13 are required.)

Hall I, Day 1 | Hall I, Day 2

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Hall I(Lecture Hall Bldg., 3F L0032), Day 1(Mar. 15)
(13:20–14:40) (Chair: Watanabe Ayumi, Kataoka Sho)
13:20– 13:40	I114	Fluid analysis for gas composition tracking of methane and hydrogen mixture in a gas transportation network (Hitachi) *(Reg)Watanabe Ayumi, Yashiki Tatsurou	Hydrogen Natural gas Fluid anaslysis	6-b	130
13:40– 14:00	I115	CFD-based investigation of a novel decontamination process using ultrasound technology (U. Tokyo) *(Int)Gaddem Mohamed Rami, (Reg)Hayashi Yusuke, (Airex) Futamura Haruka, (Cor)Kawasaki Koji, (U. Tokyo) (Reg)Sugiyama Hirokazu	Biopharmaceuticals Decontamination process CFD modeling	6-b	407
14:00– 14:20	I116	*Development of in situ* rheometer for fluids in a reserve tank** (AIST) *(Reg)Yoshida Taiki, (Hokkaido U.) (Stu)Ohie Kohei, (Reg)Tasaka Yuji	In situ measurement Rheometer Ultrasound	6-c	290
14:20– 14:40	I117	Transport analogy model for a ternary system in a packed distillation column by a control volume method (Kansai Chem. Eng.) *(Reg)Kataoka Kunio, (Reg)Noda Hideo, (Reg)Nishimura Goro, (Kobe U.) (Reg)Ohmura Naoto	Analogy analysis Heat and Mass Transfer Packed distillation column	6-c	3
(15:00–16:40) (Chair: Mimura Kenichi, Daiguji Masaharu)
15:00– 15:20	I119	Quantitative Comparison of Reinforcement Learning and Model-based Optimal Control for Chemical Processes (Kyoto U.) (Int)Oh Tae Hoon	process control machine learning optimal control	6-d	52
15:20– 15:40	I120	Language model for understanding variables appearing in chemical engineering documents (Kyoto U.) *(Reg)Kato Shota, Zhang Chunpu, Yamamoto Makishi, (Reg)Kano Manabu	Artificial intelligence Language model Natural language processing	6-f	391
15:40– 16:00	I121	Development and Application of Process Simulator "minicappy" by Python (Mimura Eng. Consulting Office) (Reg)Mimura Kenichi	simulation python process simulator	6-b	1
16:00– 16:20	I122	Application of stiction compensation method for control valves to an actual process (ENEOS) *(Reg)Daiguji Masaharu, (TUAT) (Reg)Yamashita Yoshiyuki	process control optimization	6-d	699
16:20– 16:40	I123	[Featured presentation] Development of a decision support system for biodegradation using chemical descriptors and 3D structures (Shizuoka U.) *(Reg)Takeda Kazuhiro, (NITE) Takeuchi Kensuke, Sakuratani Yuki, (Shizuoka U.) (Reg)Kimbara Kazuhide	Decision support system biodegradation chemical descriptors	6-g	125
Hall I(Lecture Hall Bldg., 3F L0032), Day 2(Mar. 16)
(9:00–10:00) (Chair: Oishi Takuya, Kim Sanghong)
9:00– 9:20	I201	Modeling cell metabolic shifts in cultivation processes for monoclonal antibody production (UTokyo) *(Stu)Okamura K., (Int)Badr S., (Reg·SPCE)Yamada A., (Reg)Sugiyama H.	Biopharmaceuticals Lactate consumption Hybrid modeling	6-b	394
9:20– 9:40	I202	Solvent selection based on solvent recycling to improve chemical process (AIST) *(Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Kataoka Sho	Solvent selection Process design Solvent recycling	6-b	449
9:40– 10:00	I203	Model-based characterization and evaluation of batch and flow syntheses in drug substance manufacturing (U. Tokyo) *(Stu)Kim Junu, (Reg)Sugiyama Hirokazu	Design space Kinetic model Hybrid model	6-b	123
(10:20–11:20) (Chair: Yamaki Takehiro)
10:20– 10:40	I205	Proposal of a method to improve the performance of MSPC by appropriate standardization of input variables and its application to continuous pharmaceutical manufacturing (Powrex/TUAT) *(Reg)Oishi Takuya, (Powrex) (Reg)Nagato Takuya, (TUAT) (Reg)Kim Sanghong	Multivariate Statistical Process Control Continuous Pharmaceutical Manufacturing Wet Granulation	6-d	68
10:40– 11:00	I206	A comprehensive design approach for injectable manufacturing processes considering new technologies and operational aspects (U. Tokyo) *(Stu)Yamada Masahiro, (Reg)Hayashi Yusuke, (Int)Badr Sara, (Shionogi Pharma) (Cor)Zenitani Kenichi, (Cor)Kubota Kokichi, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu	Process design Multiobjective evaluation Pareto frontier	6-b	171
11:00– 11:20	I207	[Featured presentation] Prediction of Olefin Metathesis Reactivity Using Machine-Learning Model (Zeon) *(Reg)Nagaoka Masahiro, (Cor)Taira Kanako	machine-learning olefin metathesis catalytic reaction	6-d	69

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