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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

Last modified: 2023-12-10 19:09:26

Session programs : SY-65 : J220

The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

SY-65 [Symposium of Division of Systems, Information and Simulation Technologies]
Recent Research and Development of Process Systems Engineering

Organizers: Kim Sanghong (Tokyo Univ. of Agri. and Tech.), Hayashi Yusuke (The Univ. of Tokyo)

Hall J, Day 2

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Hall J(821), Day 2(Sep. 12)
(8:40–9:40) (Chair: Hayashi Yusuke)
8:40– 9:00J200Step-by-step Graphic Calculation of Actual Stages for Design of a Packed Distillation Column
(Kansai Chem Eng) *(Reg)Kataoka Kunio, (Reg)Nishimura Goro, (Reg)Noda Hideo
Step-by-step calculation
packed distillationcolumn
practical design
SY-6534
9:00– 9:20J201Optimization of operating conditions using a crystallizer model with local temperature control
(TUAT) *(Stu)Iizuka Saki, (Reg·APCE)Kim Sanghong, (Stu)Ishikawa Kano
Crystallization
Process synthesis
Distributed parameter system
SY-65149
9:20– 9:40J202Development of automatic process simulation optimization system for new continuous distillation column
(Daikin Industries) *(Cor)Iwanaga Yuusuke, (Cor)Tanaka Yoshinori, (Cor)Niwa Takashi, (Cor)Hirakawa Taku
process simulation
distillation column
optimization
SY-6551
(9:40–10:40) (Chair: Takatsuka Kayoko)
9:40– 10:00J203Attempt to apply process systems engineering to solve technical problems in antibody drug manufacturing
(U. Tokyo) *(Reg·SPCE)Yamada A., (Reg)Sugiyama H.
Antibody drug manufacturing
Process simulation
Mammalian cell cultivation
SY-65431
10:00– 10:20J204Bi-objective Bayesian optimization for successive process of CO2 absorption and methanation
(AIST) *(Reg)Hara Nobuo, (Reg)Taniguchi Satoshi, (Reg)Yamaki Takehiro, (Reg)Nguyen Thuy, (Reg)Kataoka Sho
CCUS
Bi-objective Bayesian optimization
CO2 emissions
SY-65340
10:20– 10:40J205Data-driven Process Variable Prediction Based on Orthogonal Autoencoder
(TUAT) *(Reg·PCE)Xia Junqing, (Reg)Yamashita Yoshiyuki
data-driven process monioring
process variable prediction
SY-65362
10:40– 11:00Break
(11:00–12:00) (Chair: Hara Nobuo)
11:00– 11:20J207Screening support method of cryoprotective agents for stem cells
(U. Tokyo) *(Reg)Hayashi Yusuke, (Stu)Shigeyama Akinori, (Reg)Sugiyama Hirokazu
Molecular design
Environmental assessment
Cryopreservation
SY-65378
11:20– 11:40J208Development of a decision support system for schedule management considering delay risks
(U. Miyazaki) *(Reg)Takatsuka Kayoko, Tayano Ryo, (JGC) (Reg)Sato Tomoichi, (U. Miyazaki) Aburada Kentaro, Okazaki Naonobu
Schedule management
Delay risk
schedule network
SY-65415
11:40– 12:00J209[Featured presentation] Elucidation of the impact of mixing and tableting conditions in the continuous manufacturing process of solid dosage forms on intermediate and final products
(Kyoto U.) *(Stu·PCEF)Kobayashi Yuki, (TUAT) (Reg)Kim Sanghong, (Powrex) (Reg)Nagato Takuya, (Reg)Oishi Takuya, (Kyoto U.) (Reg)Kano Manabu
Process modeling
Continuous manufacturing
Product quality
SY-65479
(13:00–14:00) (Chair: Kim Sanghong)
13:00– 13:20J213Optimization of the chemical production process using biomass as feedstock
(Kyoto U.) *(Reg)Sotowa Ken-Ichiro, Kinoshita Makoto, (Reg)Tonomura Osamu, (Int)Oh Tae Hoon
biomass
supply chain
optimization
SY-65993
13:20– 13:40J214Fokker-Planck equation based Stochastic Model Predictive Control
(Kyoto U.) (Int)Oh Tae Hoon
Process Control
Model Predictive Control
Stochastic Control
SY-65598
13:40– 14:00J215Kinetic study and design space exploration of amination reaction in flow synthesis of drug substances
(U. Tokyo) *(Reg)Kim Junu, (Reg)Hayashi Yusuke, (Int)Badr Sara, (Pharmira) Okamoto Kazuya, Hakogi Toshikazu, (Reg)Furukawa Haruo, (Shionogi Pharma) (Reg)Yoshikawa Satoshi, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu
Flow chemistry
Active pharmaceutical ingredients
Continuous manufacturing
SY-65699
(14:00–15:00) (Chair: Kato Shota)
14:00– 14:20J216A Soft-sensor Tool for Accelerating Digital Transformation in the Process Industry
(Fuji Electric) *(Div)Murakami Kenya, (Reg)Tanaka Masaki, (Div)Katou Taisuke, (Div)Matsui Tetsuro, (Div)Iizaka Tatsuya
Soft-sensor
Digital transformation
Process industry
SY-65659
14:20– 14:40J217Dynamic analysis of process operation behavior applying new informative method
(TUAT) *(Stu)Wada Tetsuya, (Reg)Yamashita Yoshiyuki
Fault detection
Machine learning
Clustering
SY-65298
14:40– 15:00J218CFD-based modeling of a continuous forced convection-based freezer unit for human induced pluripotent stem cells considering supercooling
(U. Tokyo) *(Stu)Scholz Benedikt Xaver, (Reg)Hayashi Yusuke, (Int)Gaddem Mohamed Rami, (Osaka U.) Higashi Yuka, Uno Yuki, (Reg)Kino-oka Masahiro, (U. Tokyo) (Reg)Sugiyama Hirokazu
Regenerative medicine
Cryopreservation
Computational fluid dynamics
SY-65725
15:00– 15:20Break
(15:20–16:20) (Chair: Yamada Akira)
15:20– 15:40J220Study of Scaling factor optimization based on accuracy in training data to improve MSPC accuracy
(Powrex/TUAT) *(Reg)Oishi Takuya, (Powrex) (Reg)Nagato Takuya, (TUAT) (Reg)Kim Sanghong
Continuous Pharmaceutical Manufacturing
Wet Granulation
Multivariate Statistical Process Control
SY-65781
15:40– 16:00J221Can ChatGPT extract variable from papers related to chemical engineering?
(Kyoto U.) *(Reg)Kato Shota, (Reg)Kano Manabu
Artificial intelligence
Language model
Natural language processing
SY-65950
16:00– 16:20J222Simulation Evaluation of Quality Improvement by Deep Reinforcement Learning Method for Semi-Batch Process
(Fuji Electric) *(Div)Tange Yoshio, (Div)Ikekawa Shogo, (Div)Matsui Tetsuro
Reinforcement Learning
Semi-Batch Process
SY-65724

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

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