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SCEJ 88th Annual Meeting (Tokyo, 2023)

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

Session programs : 6. Systems, information, and simulation technologies : I201

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

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Hall I(Lecture Hall Bldg., 3F L0032), Day 1(Mar. 15)
(13:20–14:40) (Chair: Watanabe Ayumi, Kataoka Sho)
13:2013:40I114Fluid 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-b130
13:4014:00I115CFD-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-b407
14:0014:20I116Development 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-c290
14:2014:40I117Transport 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-c3
(15:00–16:40) (Chair: Mimura Kenichi, Daiguji Masaharu)
15:0015:20I119Quantitative 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-d52
15:2015:40I120Language 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-f391
15:4016:00I121Development and Application of Process Simulator "minicappy" by Python
(Mimura Eng. Consulting Office) (Reg)Mimura Kenichi
simulation
python
process simulator
6-b1
16:0016:20I122Application of stiction compensation method for control valves to an actual process
(ENEOS) *(Reg)Daiguji Masaharu, (TUAT) (Reg)Yamashita Yoshiyuki
process control
optimization
6-d699
16:2016:40I123[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-g125
Hall I(Lecture Hall Bldg., 3F L0032), Day 2(Mar. 16)
(9:00–10:00) (Chair: Oishi Takuya, Kim Sanghong)
9:009:20I201Modeling 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-b394
9:209:40I202Solvent 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-b449
9:4010:00I203Model-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-b123
(10:20–11:20) (Chair: Yamaki Takehiro)
10:2010:40I205Proposal 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-d68
10:4011:00I206A 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-b171
11:0011:20I207[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-d69

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SCEJ 88th Annual Meeting (Tokyo, 2023)


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