I205 - 6. Systems, information, and simulation technologies - Session programs

`SCEJ 88th Annual Meeting (Tokyo, 2023)`

Last modified: 2023-12-13 19:10:32

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Session programs : 6. Systems, information, and simulation technologies : I205

The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.

6. Systems, information, and simulation technologies

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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SCEJ 88th Annual Meeting (Tokyo, 2023)

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