Updated on 2025/03/28

写真a

 
YAJIMA, Tomoyuki
 
Organization
Graduate School of Engineering Materials Process Engineering 1 Assistant Professor
Graduate School
Graduate School of Engineering
Undergraduate School
School of Engineering Materials Science and Engineering
Title
Assistant Professor

Degree 1

  1. 博士(工学) ( 名古屋大学 ) 

Research Areas 4

  1. Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering  / Systems Engineering, Optimization

  2. Others / Others  / Fundamental Engineering

  3. Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Chemical reaction and process system engineering  / Process Systems Engineering, Simulation

  4. Informatics / Soft computing  / Bayesian network, metaheuristics

Current Research Project and SDGs 4

  1. プロセスの解析・運用への統計的手法の応用に関する研究

  2. 吸着プロセスを利用した二酸化炭素分離回収システムに関する研究

  3. Meta-heuristics for large-scale multi-objective optimization

  4. Reserch on the acceleration of CFD simulation using GPU computing

Education 2

  1. Nagoya University   Graduate School, Division of Engineering

    - 1994

      More details

    Country: Japan

  2. Nagoya University   Faculty of Engineering

    - 1989

      More details

    Country: Japan

Professional Memberships 4

  1. The Japan society for computational engineering and science

  2. Japan society for simulation technology

  3. The Society of Instrument and Control Engineers

  4. 化学工学会

 

Papers 55

  1. Process robustness evaluation for various operating configurations of multi-column chromatography processes with nonlinear isotherm Reviewed

    Kensuke Suzuki, Tomoyuki Yajima, Yoshiaki Kawajiri

    Chemical Engineering Science   Vol. 309   2025.5

     More details

    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.1016/j.ces.2025.121395

  2. Estimation and Uncertainty Quantification of Solvent Strength Parameters in Gradient Elution of Chromatography Using Sequential Monte Carlo Method Reviewed

    Yuan, ZT; Suzuki, K; Yamamoto, Y; Yajima, T; Kawajiri, Y

    PROCESSES   Vol. 13 ( 1 )   2025.1

     More details

    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3390/pr13010114

    Web of Science

  3. Modeling and uncertainty quantification of CO<sub>2</sub> absorption process using phase separation solvent Reviewed

    Yuyama, S; Machida, H; Yajima, T; Kawajiri, Y

    CHEMICAL ENGINEERING SCIENCE   Vol. 298   2024.10

     More details

    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.ces.2024.120348

    Web of Science

  4. Surrogate model optimization of vacuum pressure swing adsorption using a flexible metal organic framework with hysteretic sigmoidal isotherms Reviewed International coauthorship

    Takakura, Y; Ravutla, S; Kim, J; Ikeda, K; Kajiro, H; Yajima, T; Fujiki, J; Boukouvala, F; Realff, M; Kawajiri, Y

    INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL   Vol. 138   2024.10

     More details

    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.ijggc.2024.104260

    Web of Science

  5. A parameter estimation method for chromatographic separation process based on physics-informed neural network Reviewed

    Zou, T; Yajima, T; Kawajiri, Y

    JOURNAL OF CHROMATOGRAPHY A   Vol. 1730   2024.8

     More details

    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.chroma.2024.465077

    Web of Science

    PubMed

▼display all

Presentations 150

  1. 逐次モンテカルロ法を用いたベイズ推定によるクロマトグラフィー分離モデルパラメータの不確実性定量化

    矢嶌 智之,山本 陽多,川尻 喜章

    2022年度 統計関連学会連合大会  2022.9.7 

     More details

    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:東京都武蔵野市   Country:Japan  

  2. ラボスケール PSA による ELM-11 の CO2分離回収性能評価

    藤木 淳平, 池田 佳亮, 平野 直央樹, 上代 洋, Frantisek Miksik, 矢嶌 智之, 川尻 喜章

    第37回日本吸着学会研究発表会  2024.12.3  日本吸着学会

     More details

    Event date: 2024.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:タワーホール船堀(東京都江戸川区)   Country:Japan  

  3. Development of a two-bed superstructure model to optimize CO2 capture performance of temperature swing adsorption using a zeolite-coated fin-coil heat exchanger

    Sagar Saren, 濱田 亮, William Nguyen, 大西 良治, 引間 脩, 田畑 賢治, 児玉 昭雄, 矢嶌 智之, 川尻 喜章

    第37回日本吸着学会研究発表会  2024.12.2  日本吸着学会

     More details

    Event date: 2024.12

    Language:Japanese   Presentation type:Poster presentation  

    Venue:タワーホール船堀(東京都江戸川区)   Country:Japan  

  4. CO2分離のための高熱伝導モノリス吸着カラムを使った破過応答試験

    Frantisek Miksik, 上代 洋, 小刀稱 大嵩, 矢嶌 智之, 藤木 淳平, 川尻 喜章

    第37回日本吸着学会研究発表会  2024.12.3  日本吸着学会

     More details

    Event date: 2024.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:タワーホール船堀(東京都江戸川区)   Country:Japan  

  5. Performance analysis of pressure swing adsorption using flexible metal−organic framework by multi-objective optimization International conference

    Keisuke Ikeda, Yuya Takakura, Junpei Fujiki, Frantisek Miksik, Hiroshi Kajiro, Tomoyuki Yajima, Yoshiaki Kawajiri

    The Second Symposium on Carbon Ultimate Utilization Technologies for the Global Environment (CUUTE-2)  2024.11.14  The Iron and Steel Institute of Japan

     More details

    Event date: 2024.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Nara   Country:Japan  

▼display all

KAKENHI (Grants-in-Aid for Scientific Research) 2

  1. Development of Integrated Support Environment for Decision-Making in Discrete Manufacturing Systems with Uncertainty

    Grant number:16K06844  2016.4 - 2019.3

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(C)

    Hashizume Susumu

      More details

    Authorship:Coinvestigator(s) 

    This research project aims at developing a integrated support environment for decision making in discrete manufacturing systems with uncertainty. To achieve this objective, we represented the causality between tasks in systems by network based models in common. Using the models, we developed methods for optimizing system configuration, finding optimal operation policy and constructing fault avoidance controller.

  2. 不確実性を有する離散型生産システムの設計・運用支援環境の開発

    2013.4 - 2016.3

    科学研究費補助金  基盤研究(C)

      More details

    Authorship:Coinvestigator(s) 

 

Teaching Experience (On-campus) 13

  1. 学生実験2

    2022

  2. 学生実験1

    2022

  3. 学生実験2

    2021

  4. 学生実験1

    2021

  5. 数値解析

    2020

▼display all