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SCEJ 86th Annual Meeting (2021)

Last modified: 2022-02-16 09:38:40

Hall and day program : Hall L

The preprints(abstracts) are now open (Mar. 8th). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants (excludes free registration) and invited persons are required.

Hall L()

Hall L, Day 1 | Hall L, Day 2
8 | 6,14

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Hall L(), Day 1(Mar. 20)
8. Supercritical fluid
13:0013:20L113[The SCEJ Award for Outstanding Young Researcher] Physical Properties of Metal Precursors in the Bulk and Nano Spaces for Design of Supercritical Fluid Deposition Processes
(Hiroshima U.) (Reg)Ushiki Ikuo
The SCEJ Award for Outstanding Young Researcher
0-c654
13:2013:40L114A new process of water addition under supercritical tert-butyl methyl ether for continuous biodiesel production
(Politeknik Negeri Bandung) *(Stu)Ridwan Iwan, (Kanazawa U.) (Stu)Katsuragwa Naoyuki, (Reg)Tamura Kazuhiro
water
tert-butyl methyl ether
biodiesel
8-e248
13:4014:00L115Surface modification of titanium dioxide nanoparticle with terephthalic acid under supercritical carbon dioxide
(Kanazawa U.) *(Int)Agustin Anggi Regiana, (Reg)Tamura Kazuhiro
TiO2 nanoparticles
surface modification
supercritical carbon dioxide
8-e264
14:0014:20L116Flow type synthesis of pegylated liposome using supercritical CO2 and microchannel
(Tokyo Tech) *(Reg)Orita Yasuhiko, (Stu)Inoue Keita, (Stu)Akiyama Ryunosuke, (Reg)Shimoyama Yusuke
supercritical carbon dioxide
microchannel
pegylated liposome
8-e284
14:2014:40L117Relationship between Ce concentration and size and crystallinity for hydrothermal synthesis of cerium oxide nanoparticles using dual-stage method
(Tokyo Tech) *(Reg)Orita Yasuhiko, (U. Tokyo) (Reg)Akizuki Makoto, (Reg)Oshima Yoshito
Continuous hydrothermal synthesis
cerium oxide
dual-stage flow reactor
8-e187
15:0015:20L119Design method of CO2-Assisted Polymer Compression multilayer membrane using deep learning
(AIST) (Reg)Aizawa Takafumi
carbon dioxide
multilayer membrane
deep learning
8-e4
15:2015:40L120Reaction pathway investigation for hydrothermal defluorination of fluorobenzene in an aqueous sodium hydroxide solution
(Chuo U.) *(Stu)Endo Jun, (Reg)Sakabe Junichi, (Reg)Funazukuri Toshitaka
fluorobenzene
hydrothermal
defluorination
8-d354
15:4016:00L121Demonstration experiment of chemical filter for effective conditions of supercritical CO2 regeneration
(Dai-Dan) *(Reg)Ito Yasuyuki, (Hiroshima U.) (Reg)Ushiki Ikuo, (Tohoku U.) (Reg)Inomata Hiroshi
Supercritical carbon dioxide
chemical filter
8-f560
16:0016:20L122Preparation of vesicle for Span/Tween systems based on hydrothermal emulsification: phase diagram and morphology
(Okayama U.) *(Reg)Shimanouchi Toshinori, Toramoto Kazuki, (Reg)Kimura Yukitaka
vesiculation
emulsification
phase diagram
8-e610
16:2016:40L123Estimation of Hansen-type entropy-based solubility parameter by perturbation-based equation of state
(Tohoku U.) (Stu·PCEF)Urata Hiroaki, *(Reg)Ota Masaki, (Reg)Inomata Hiroshi
Supercritical CO2
Solubility parameter
extraction and separation
8-b236
16:4017:00L124Development of predictive method of partition coefficient of organics between high-pressure carbon dioxide and water using machine learning
(AIST) *(Reg)Fujii Tatsuya, Kobune Marina, (Reg)Kawasaki Shin-ichiro
machine learning
partition coefficient
high-pressure carbon dioxide
8-b310
17:0017:20L125Measurement and correlation of diffusion coefficients of benzene in mixture of carbon dioxide and hexane/methanol under high pressure conditions by Taylor dispersion method
(Chuo U.) *(Stu)Onodera N., (Reg)Sakabe J., (Reg)Funazukuri T., (Shizuoka U.) (Reg)Kong C. Y.
mixture of CO2 and organic solvent
diffusion coefficient
benzene
8-b404
Hall L(), Day 2(Mar. 21)
6,14 Systems, information, and simulation technologies,Wide area
(9:00–10:20) (Chair: Watanabe Ryo, Oshima Kazumasa)
9:009:20L201Safety education for chemistry laboratories and problems to be unsolved
(Niigata U.) *(Reg)Kimura Isao, Kashiwagi Yasuto
safety education
lecture
laboratory
14-c220
9:209:40L202Cost-effectiveness analysis of allogeneic induced pluripotent cell therapy using agent-based models
(U. Tokyo) *(Stu)Hayashi Yusuke, Oishi Kota, (Reg)Sugiyama Hirokazu
Regenerative medicine
Stem cell
Statistical model
6-g34
9:4010:00L203Data-driven approaches towards equipment health classification using process monitoring information in pharmaceutical manufacturing
(U. Tokyo) *(Stu)Zuercher Philipp Samuel, (Int)Badr Sara, (Reg)Sugiyama Hirokazu
Data Analysis
Pharmaceutical Manufacturing
Maintenance
6-a355
10:0010:20L204Product quality prediction from small manufacturing process data based on brain-inspired bayesian attractor model
(Osaka U.) *(Stu)Yamauchi Masaaki, Takagi Shiori, (Daikin Industries) (Cor·APCE)Iyota Junpei, (Cor)Higashi Takuma
soft sensors
product quality prediction
machine learning
6-d503
(10:40–11:40) (Chair: Takahashi Atsushi, Moteki Takahiko)
10:4011:00L206Data-driven anomaly detection, prognostics and diagnostics for operation support in biopharmaceutical manufacturing
(U. Tokyo) *(Stu)Zeberli Anicia, (Int)Badr Sara, (Hoffmann-La Roche) Siegmund Christian, Mattern Markus, (Reg)Sugiyama Hirokazu
Process monitoring
Data science
6-d412
11:0011:20L207Stabilization of oscillatory PID control loops by improper PID parameter setting
(TUAT) *(Stu)Otakara Shigeki, (Reg)Yamashita Yoshiyuki
PID control
Closed-loop identification
Vinyl acetate monomer plant
6-d186
11:2011:40L208Optimization of the number of fans for air-coolers in the control of distillation columns
(TUAT) *(Stu)Daiguji Masaharu, (Reg)Yamashita Yoshiyuki
Control
Optimization
Air-cooler
6-d101
(11:40–12:00) (Chair: Sugiyama Shigeru)
11:4012:00L209Off-line pre-learning for applying safe reinforcement learning to process control
(Kyoto U.) Kawamura Seishiro, *(Reg)Kano Manabu
Reinforcement Learning
Process Control
6-d644
13:2013:40L214Algorithm for automatic building physical model candidates from multiple equations
(Kyoto U.) *(Stu)Kato Shota, (Reg)Kano Manabu
Automatic physical model building
Modeling
Process systems engineering
6-f586
13:4014:00L215Important stage selection for yield rate prediction in multi-process production systems
(Kyoto U.) Ikai Shungo, *(Reg)Kano Manabu
Statistical modeling
Optimization
6-f638
(14:00–14:40) (Chair: Tada Shohei, Akama Hiroshi)
14:0014:20L216Design of Design Space for Pharmaceutical Continuous Manufacturing
(Kyoto U.) Muraki Tatsuya, *(Reg)Kano Manabu
Quality by Design
Continuous Manufacturing
Design Space
6-f640
14:2014:40L217Assessment of robustness and operational considerations for the design of integrated mAb manufacturing processes.
(U. Tokyo) *(Int)Badr Sara, (Stu)Okamura Kozue, (Stu)Takahashi Nozomi, (Reg)Sugiyama Hirokazu
Biopharmaceutical process design
Cultivation
Chromatography
6-b532
14:4015:00L218Structure of optimization of heterogeneous azeotropic distillation considering a bottom decanter
(Kyoto U.) *(Int)Alcantara Avila J. Rafael, (Stu)Togami Keito
Linear programming
Heterogeneous azeotropic distillation
Process optimization
6-e373

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SCEJ 86th Annual Meeting (2021)


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