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If you are interested in our current studies,
do not hesitate to contact us!

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A wide range of engineering application

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Physics based computer graphics

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Numerical modeling of industrial processes

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Advanced multi-physics simulations

Journal papers (Recent 5 years)

  • Yuki Tsunazawa, Nobukazu Soma, Motoyuki Iijima, Junich Tatami, Takamasa Mori, Mikio Sakai, “Validation study on a coarse-grained DEM-CFD simulation in a bead mill,” Powder Technology, 440 (2024) 119743. https://doi.org/10.1016/j.powtec.2024.119743
  • Shuo Li, Guangtao Duan, Mikio Sakai, “On reduced-order modeling of gas-solid flows using deep learning,” Physics of Fluids 36 (2024) 033340. https://doi.org/10.1063/5.0193480 (open access)
  • Kai-en Yang, Shuo Li, Guangtao Duan, Mikio Sakai, "On fostering predictions in data-driven reduced order model for Eulerian-Lagrangian simulations: Decision of sufficient training data," J. Chem. Eng. Jpn, 57 (2024) 2316155. https://doi.org/10.1080/00219592.2024.2316155 (open access)
  • G. Duan, S. Li, M. Sakai, “Feasibility analysis of POD-based reduced order model with application in Eulerian-Lagrangian simulations,” Ind. Eng. Chem. Res., 63 (2024) 780–796. https://doi.org/10.1021/acs.iecr.3c01477
  • S. Kajiwara, M. Sakai, “Numerical investigation on bimodal mixing system of solid–liquid mixture in an industrial mixing cooker," Adv. Powder Technol., 35 (2024) 104300. https://doi.org/10.1016/j.apt.2023.104300 (open access)
  • Q. Shi, M. Sakai, "Numerical study on the elucidation of powder mixing mechanism in a container blender," Adv. Powder Technol., 34 (2023) 104231. https://doi.org/10.1016/j.apt.2023.104231
  • R. Li, G. Duan, D. Yamada, M. Sakai, “Large-scale discrete element modeling for a gas-solid-liquid flow system,” Ind. Eng. Chem. Res., 62 (2023) 17008−17018. https://doi.org/10.1021/acs.iecr.3c01511
  • R. Li, G. Duan, M. Sakai, “DEM simulations in nuclear engineering: a review of recent progress,” J. Nucl. Sci. Technol., 61 (2024) 285–306. https://doi.org/10.1080/00223131.2023.2231969
  • Q. Shi, M. Sakai, “Numerical study on effect of airflow on powder mixing in a container blender,” Phys. Fluids, 35 (2023) 013329. https://doi.org/10.1063/5.0133547 (open access)
  • S. Li, G. Duan, M. Sakai, "On POD-based modal analysis in simulations of granular flows," Powder Technol., 413 (2023) 118058. https://doi.org/10.1016/j.powtec.2022.118058
  • G. Duan, M. Sakai, “Numerical investigation of gas entrapment in metal additive manufacturing using a quasi-sharp-interface particle method,” Int. J. Heat Mass Transf., 199 (2022) 123451. https://doi.org/10.1016/j.ijheatmasstransfer.2022.123451
  • S. Li, G. Duan, M. Sakai, “Development of a reduced-order model for large-scale Eulerian–Lagrangian simulations,” Adv. Powder Technol., 33 (2022) 103632. https://doi.org/10.1016/j.apt.2022.103632 (open access)
  • Q. Shi, M. Sakai, "Recent progress on the discrete element method simulations for powder transport systems: A review,” Adv. Powder Technol., 33 (2022) 103664. https://doi.org/10.1016/j.apt.2022.103664
  • K. Tamura, Y. Mori, K. Takabatake, M. Sakai, "Validation study on a toroidal approximation-based capillary force model in the discrete element method simulation," Phys. Fluids, 34, (2022) 023319. https://doi.org/10.1063/5.0080792 (open access)
  • Y. Tsunazawa, N. Soma, M. Sakai, "DEM study on identification of mixing mechanisms in a pot blender," Adv. Powder Technol., 33 (2022) 103337. https://doi.org/10.1016/j.apt.2021.10.029
  • S. Li, G. Duan, M. Sakai, "POD-based identification approach for powder mixing mechanism in Eulerian-Lagrangian simulations," Adv. Powder Technol., 33 (2022) 103364. https://doi.org/10.1016/j.apt.2021.11.016 (open access)
  • G. Duan, M. Sakai, "An enhanced semi-implicit particle method for simulating the flow of droplets with free surfaces," Comput. Methods Appl. Mech. Eng., 389 (2022) 114338. https://doi.org/10.1016/j.cma.2021.114338 (open access)
  • G. Duan, T. Matsunaga, S. Koshizuka, A. Yamaguchi, M. Sakai, “New insights into error accumulation due to biased particle distribution in semi-implicit particle methods,” Comput. Methods Appl. Mech. Eng., 372 (2022) 114219. https://doi.org/10.1016/j.cma.2021.114219 (open access)
  • Y. Mori, M. Sakai, "Advanced DEM simulation on powder mixing for ellipsoidal particles in an industrial mixer," Chem. Eng. J., 429 (2022) 132415 https://doi.org/10.1016/j.cej.2021.132415 (open access)
  • G. Duan, A. Yamaji, M. Sakai, “A multiphase MPS method coupling fluid-solid interaction/phase-change models with application to debris remelting in reactor lower plenum,” Ann. Nucl. Energy, 166 (2022) 108697. https://doi.org/10.1016/j.anucene.2021.108697
  • Y. Mori, M. Sakai, “Visualization study on the coarse graining DEM for large-scale gas-solid flow systems,” Particuology, 59 (2021) 24-33. https://doi.org/10.1016/j.partic.2020.07.001
  • L. Yang, A. Buchan, D. Pavlidis, A. Jones, P. Smith, M. Sakai, C. Pain, "A three-phase interpenetrating continua approach for wave and porous structure interaction," Eng. Comput., 38 (2021) 1157-1169. https://doi.org/10.1108/EC-08-2019-0386
  • Y. Tsugeno, M. Sakai, S. Yamazaki, T. Nishinomiya, "DEM simulation for optimal design of powder mixing in a ribbon mixer,” Adv. Powder Technol., 32 (2021) 1735-1749. https://doi.org/10.1016/j.apt.2021.03.026
  • M.I.F. Rozy, Y. Maemoto, M. Ueda, T. Fukasawa, T. Ishigami, K. Fukui, M. Sakai, Y. Mino, K. Gotoh, “Direct numerical simulation of permeation of particles through a realistic fibrous filter obtained from X-ray computed tomography images utilizing signed distance function,” Powder Technol., 385 (2021) 131-143. https://doi.org/10.1016/j.powtec.2021.02.072
  • C. Fushimi, K. Yato, M. Sakai, T. Kawano, T. Kita, "Recent progress in efficient gas-solid cyclone separators with a high solids loading for large-scale fluidized beds," KONA Powder Part. J., 38 (2021) 94-109. https://doi.org/10.14356/kona.2021001 (open access)
  • Y. Mori, M. Sakai, "Development of a robust Eulerian-Lagrangian model for the simulation of an industrial solid-fluid system," Chem. Eng. J., 406 (2021) 126841. https://doi.org/10.1016/j.cej.2020.126841 (open access)
  • S. Li, S. Kajiwara, M. Sakai, "Numerical investigation on the mixing mechanism in a cross-torus paddle mixer using the DEM-CFD method," Powder Technol., 377 (2021) 89-102. https://doi.org/10.1016/j.powtec.2020.08.085
  • G. Duan, T. Matsunaga, A. Yamaji, S. Koshizuka, M. Sakai, "Imposing accurate wall boundary conditions in corrective matrix based MPS method for free surface flow," Int. J. Numer. Methods Fluids, 93 (2021) 148-175. https://doi.org/10.1002/fld.4878
  • G. Duan, A. Yamaji, M. Sakai, "An incompressible-compressible Lagrangian particle method for bubble flows with a sharp density jump and boiling phase change," Comput. Methods Appl. Mech. Eng., 372 (2020) 113425. https://doi.org/10.1016/j.cma.2020.113425 (open access)
  • Y. Mori, K. Takabatake, Y. Tsugeno, M. Sakai, "On artificial density treatment for the pressure Poisson equation in the DEM-CFD simulations," Powder Technol., 372 (2020) 48-58. https://doi.org/10.1016/j.powtec.2020.05.116 (open access)
  • P.M. Widartiningsih, Y. Mori, K. Takabatake, C.-Y. Wu, K. Yokoi, A. Yamaguchi, M. Sakai, "Coarse graining DEM simulations of a powder die-filling system," Powder Technol., 371 (2020) 83-95. https://doi.org/10.1016/j.powtec.2020.05.063
  • K. Takabatake, M. Sakai, "Flexible discretization technique for DEM-CFD simulations including thin walls," Adv. Powder Technol. 31 (2020) 1825-1837. https://doi.org/10.1016/j.apt.2020.02.017
  • Z. Xie, Y. Shen, K. Takabatake, A. Yamaguchi, M. Sakai, "Coarse-grained DEM study of solids sedimentation in water," Powder Technol., 361 (2020) 21-32. https://doi.org/10.1016/j.powtec.2019.11.034
  • H. Udono, K. Uruga, T. Tsukada, M. Sakai, "Numerical study on rheological properties for dispersed and aggregated particle systems," Powder Technol., 361 (2020) 203-209. https://doi.org/10.1016/j.powtec.2019.09.041
  • M. Sakai, Y. Mori, X. Sun, K. Takabatake, "Recent progress on mesh-free particle methods for simulations of multi-phase flows: A review," KONA Powder Part. J., 37 (2020) 132-144. https://doi.org/10.14356/kona.2020017 (open access)
  • L. Yang, J. Yang, E. Boek, M. Sakai, C.C. Pain, "Images based simulations of absolute permeability with massively parallel pseudo-compressible stabilised Finite Element solver," Comput. Geosci., 23 (2019) 881-893. 10.1007/s10596-019-09837-4
  • Y. Yue, T. Wang, M. Sakai, Y. Shen, "Particle-scale study of spout deflection in a flat-bottomed spout fluidized bed," Chem. Eng. Sci., 205 (2019) 121-133. https://doi.org/10.1016/j.ces.2019.04.031
  • M. Sakai, K. Takabatake, K. Tamura, K. Hatano, A. Minakuchi, "Why do wet-particles adhere to a high-speed roll in a three-roll mill?," Phys. Fluids, 31 (2019) 033302. https://doi.org/10.1063/1.5085693
  • Y. Mori, C.-Y. Wu, M. Sakai, "Validation study on a scaling law model of the DEM in industrial gas-solid flows," Powder Technol., 343 (2019) 101-112. https://doi.org/10.1016/j.powtec.2018.11.015
  • X. Sun, M. Sun, K. Takabatake, C.C. Pain, M. Sakai, "Numerical simulation of free surface fluid flows through porous media by using the explicit MPS method," Transp. Porous Media, 127 (2019) 7-33. https://doi.org/10.1007/s11242-018-1178-z (open access)

Books

4.気泡・分散系現象の基礎と応用 "気泡・分散系現象の基礎と応用"
化学工学会 監修
分担執筆:2.基礎~応用編 第4章 粉体・混相流の数値シミュレーションの基礎・応用
[in Japanese]
三恵社
(2016)
3.混相流の数値シミュレーション "混相流の数値シミュレーション"
太田光浩, 酒井幹夫, 島田直樹, 本間俊司, 松隈洋介 著
“Numerical Simulation of multi-phase flows" written by M. Ohta, M. Sakai, N. Shimada, S. Honma, Y. Matsukuma
[in Japanese]
丸善出版
Maruzen
(2015)
2.粉体・ナノ粒子の創製と製造・処理技術 "粉体・ナノ粒子の創製と製造・処理技術"
小波盛佳, 松本幹治, 監修
分担執筆:第7章 第1節 粉体シミュレーション技術と実用化
[in Japanese]
株式会社テクノシステム
(2014)
1.粉体の数値シミュレーション "粉体の数値シミュレーション"
酒井幹夫 編著
"Numerical simulation of granular flows"
written and editted by Mikio SAKAI
[in Japanese]
丸善出版
Maruzen
(2012)

Awards (Recent 5 years)

24-5. 日本原子力学会 計算科学技術部会 学生優秀講演賞(今谷) 2024年
24-4. IPNF Outstanding Poster Presentation Award (P. Widartiningsih) 2024年
24-3. 粉体工学会 Symposium Outstanding Presentation Award (K-E. Yang) 2024年
24-2. 化学工学会 第89年会 優秀学生賞(K-E. Yang) 2024年
24-1. Q-STEP Colloquium Best Poster Award (K-E. Yang) 2024年
23-11. 日本計算力学連合 The JACM Computational Mechanics Award 2023年
23-10. 日本混相流学会 萌芽賞(森) 2023年
23-9. 保全学会 プレゼン賞(R.Li) 2023年
23-8. iCePTi2023 Best Presentation Award (S. Li) 2023年
23-7. 化学工学会 学生奨励賞(Yang) 2023年
23-6. 化学工学会学生奨励賞(Luo) 2023年
23-5. 化学工学会 第88年会 最優秀学生賞(Shi) 2023年
23-4. 日本原子力学会計算科学技術部会 CG賞(Duan) 2023年
23-3. 日本原子力学会 計算科学技術部会 学生優秀講演賞(R.Li) 2023年
23-2. Q-STEP Colloquium Best Poster Award (K-E. Yang) 2023年
23-1. 化学工学会 研究賞 2023年
22-8. ICCCI2022 Modeling & Simulation Session
Best Presentation Award (S.Li)
2022年
22-7. ICCCI2022 KONA Young Researcher Award (R.Li) 2022年
22-6. ICCCI2022 KONA Young Researcher Award (Q.Shi) 2022年
22-5. 日本原子力学会 学生ポスターセッション 優秀賞(R. Li) 2022年
22-4. IWCMGM Excellent Presentation Award (S.Li) 2022年
22-3. 化学工学会 第87年会 優秀学生賞(S. Li) 2022年
22-2. 日本原子力学会 計算科学技術部会 学生優秀講演賞(張) 2022年
22-1. 日本原子力学会 計算科学技術部会 業績賞 2022年
21-14. CPT 2021 Best Student Presentation Award (柘野) 2021年
21-13. CPT 2021 Best Student Poster Award (S. Li) 2021年
21-12. 化学工学会 第52回秋季大会 粒子・流体プロセス部会シンポジウム賞
(プレゼンテーション賞)(森)
2021年
21-11. 化学工学会 第52回秋季大会 粒子・流体プロセス部会シンポジウム賞
(プレゼンテーション賞)(S. Li)
2021年
21-10. APT2021 APT Excellent Poster Award (S. Li) 2021年
21-9. 粉体工学会 第56回夏期シンポジウム学生賞 (S. Li) 2021年
21-8. 粉体工学会 第56回夏期シンポジウム学生賞 (Q. Shi) 2021年
21-7. 粉体工学会 第56回夏期シンポジウム学生賞 (柘野) 2021年
21-6. 化学工学会 秋田大会 優秀学生賞(柘野) 2021年
21-5. 日本粉体工業技術協会 粉体工業展賞 2021年
21-4. 日本原子力学会 計算科学技術部会 奨励賞(Duan) 2021年
21-3. 日本原子力学会 計算科学技術部会 CG賞(横山) 2021年
21-2. 日本原子力学会 計算科学技術部会 学生優秀講演賞(横山) 2021年
21-1. 化学工学会 第86回年会 学生奨励賞(S. Li) 2021年
20-3. 化学工学会 第26回流動化・粒子プロセッシングシンポジウム
優秀プレゼンテーション賞(森)
2020年
20-2. 化学工学会 粒子・流体プロセス部会 2020年度シンポジウム賞
(プレゼンテーション賞)(森)
2020年
20-1. 粉体工学会 春期研究発表会奨励賞(柘野) 2020年
19-11. 化学工学会 第25回流動化・粒子プロセッシングシンポジウム
優秀ポスター賞(高畑)
2019年
19-10. 粉体工学会 技術賞 2019年
19-9. APCChE2019 Excellent Poster Award (Putri) 2019年
19-8. 粉体工学情報センター IP奨励賞 2019年
19-7. 化学工学会 横浜大会 最優秀学生賞(森) 2019年
19-6. 化学工学会 横浜大会 学生奨励賞(吉田) 2019年
19-5. UK-China PTF7 Best Poster Award (Mori) 2019年
19-4. DEM8 Best Poster Award (Mori) 2019年
19-3. 粉体工学会 ベストプレゼンテーション賞(高畑) 2019年
19-2. 化学工学会 第84回年会 優秀学生賞(高畑) 2019年
19-1. 日本原子力学会 計算科学技術部会 CG賞(田村) 2019年

Invited talks (Recent 5 years)

24-5. Mikio Sakai, “Advancements in the discrete element method: paving the way for the future of manufacturing,” 4th International Workshops on Advances in Computational Mechanics, Kitakyushu, Japan, Sept 18-20, 2024
24-4. Mikio Sakai, “Recent Breakthroughs in the Discrete Element Method for Industrial Applications,” Advances in Particle Technology Workshop 2024, Sheffield University, UK, Sept 9-10, 2024
24-3. 酒井幹夫, 連続生産のシミュレーションベースデジタルツインの実現に向けた基盤技術の開発, 製剤機械技術学会 第32回講演会, オンライン, Aug 2, 2024
24-2. Mikio Sakai, “Development and industrial application of the advanced discrete element method,” 16th World Congress on Computational Mechanics, Vancouver, Canada, July 21-26, 2024
24-1. M. Sakai, “Advancing Discrete Element Method Simulation: A Comprehensive Verification and Validation Study,” International Powder and Nanotechnology Forum 2024, Frankfurt, Germany, June 11-12, 2024
23-11. M. Sakai, “DEM based digital twins: challenges and opportunities,” International Workshop and Symposium Energy-X, Philippines, Nov 27 - Dec 1, 2023
23-10. 酒井幹夫, “粉体シミュレーションを用いたものづくりDX,” PXフォーラム: 化粧品、食品業界で活躍する粉体技術, POWTEX 2023, Osaka, Oct 11-13, 2023
23-9. Mikio Sakai, “On digital twin for a powder process”, International Powder and Nanotechnology Forum, Tokyo, Japan, Sept 20-21, 2023 [keynote]
23-8. Mikio Sakai, “What technologies are essential in development of the DEM-based digital twin?”, 9th International Conference on Discrete Element Methods (DEM9), Erlangen, Germany, Sept 17-21, 2023
23-7. Mikio Sakai, “On a simulation-based digital twin towards the realization of smart manufacturing in the powder industry,” The Asian Pacific Confederation of Chemical Engineering (APCChE) 2023, Manila, Philippines, Sept 4-8, 2023
23-6. 酒井幹夫, “粉体プロセスのデジタルツイン構築のための革新的数値シミュレーションモデルの開発と産業応用,” 日本セラミックス協会 第36回秋季シンポジウム, 京都, Sept 6-8, 2023
23-5. Mikio Sakai, “Powder Process Digital Twin: Advancements in Discrete Element Method Simulation,” International Symposium on Simulation and Modelling of Particulate Systems (SIMPAS-2023), 25-28 August 2023, Suzhou, China
23-4. Mikio Sakai, “What is necessary for the realization of a simulation-based digital twin in a powder process?,” The 4th International Powder Technology Conference and Exhibition Indonesia 2023 (ICePTi 2023), 21-22, Aug., 2023, Bali, Indonesia
23-3. M. Sakai, "Recent progress on the discrete element method simulations towards realization of digital twins," 2023 International Symposium on Multiphase CFD for Sustainable Engineering, 5-7 Jul, 2023, Shanghai, China
23-2. 酒井幹夫, "粉体・混相流の革新的数値シミュレーション手法の開発と次世代ものづくりへの展開," 化学工学会 第88年会 研究賞受賞講演, 東京, Mar 16, 2023
23-1. 酒井幹夫, "不連続体を対象としたマルチフィジックスシミュレーションとその産業応用," 日本原子力学会 2023年春の年会, 企画セッション:炉物理におけるマルチフィジックス研究と今後, 東京, Mar 13, 2023
22-10. Mikio SAKAI, “Core technologies for realization of the DEM based cyber-physical system,” International Multiphase Flow Technology Forum, Online, Dec 16, 2022
22-9. 酒井幹夫, "粉体プロセスにおけるシミュレーションベースデジタルツイン構築に向けた基礎研究," 国際粉体工業展東京2022, Tokyo, Dec 8, 2022
22-8. M. Sakai, "On computational granular dynamics based digital twin: core technologies in the DEM," The 7th International Conference on the Characterization and Control of Interfaces for High Quality Advanced Materials, Fujiyoshida, Japan, 15-18, Nov, 2022
22-7. 酒井幹夫, “粉体成形プロセスのシミュレーションベースデジタルツインに関する基礎研究 ,” 日本セラミックス協会 エンジニアリングセラミックス部会 第53回エンジニアリングセラミックスセミナー, 東京, Nov. 4, 2022
22-6. Mikio Sakai, “Advanced Numerical Simulations for Granular and Multi-phase Flows ,” International Symposium on Thermal Hydraulics and Safety of Advanced Nuclear Energy Systems 2022, Online, Nov. 4, 2022.
22-5. Mikio Sakai, “State-of-the-art modeling of computational granular dynamics for a simulation-based digital twin," 9th World Congress on Particle Technology, Madrid, 18-22 Sept., 2022 [keynote]
22-4. Mikio Sakai, "State-of-the-art DEM modeling towards realization of CPS based pharmaceutical manufacturing processes," International Powder and Nanotechnology Forum 2022, Online, Aug 23 - 24, 2022
22-3. Mikio Sakai, "Advanced discrete element method towards a digital twin based powder system," 15th World Congress on Computational Mechanics, 2152, Video, July 31 - August 5, 2022
22-2. 酒井幹夫, "食品製造プロセスのデジタルツイン構築のためのマルチフィジックスシミュレーション," 混相流レクチャーシリーズ 47, 医療・環境分野における混相流研究の最前線, オンライン, June 15, 2022
22-1. 酒井幹夫, "粉体プロセスのデジタルツイン構築のための数値解析技術の開発 ," Japan Pack 2022, Tokyo, Feb 18, 2022
21-7. M. Sakai, “Innovative discrete element modeling for cyber-physical powder systems,” International Workshop on Computational Mechanics of Granular Materials, Belarusian State University & Dalian University of Technology (Online), Dec 23, 2021
21-6. M. Sakai, "Advanced discrete element modeling for digital twin," The 3rd International Symposium on Computational Particle Technology, Suzhou Industrial Park & Melbourne, Nov 17-20, 2021
21-5. 酒井幹夫, "粉体成形プロセスのデジタルツイン構築に向けた粉体シミュレーションの基盤技術の開発," 粉体粉末冶金協会2021年度秋季大会(第128回講演大会), オンライン, Nov 9-11, 2021
21-4. 酒井幹夫, "CPSベース粉体プロセスの構築に向けたシミュレーション技術の開発," 国際粉体工業展大阪2021, 最新情報フォーラム, Osaka, Japan, Oct. 13, 2021
21-3. M. Sakai, "Future modeling and simulation for CPS based powder system," The 8th Asian Particle Technology Symposium (APT 2021), Osaka, Japan, Oct. 11-14, 2021
21-2. 酒井幹夫, "粉体プロセスのデジタルツイン構築に向けた数値シミュレーション技術の開発," 日本セラミックス協会 第39回エレクトロセラミックスセミナー『計算機を用いた材料設計に関する最近の展開』, オンライン, July 14, 2021
21-1. 酒井幹夫, "最先端粉体シミュレーションによるこれからのモノづくり," 日本ファインセラミックス協会 マテリアルズインフォマティックスを支えるシミュレーションスクール 第7回, オンライン, June 22, 2021
20-2. 酒井幹夫, "最先端粉体シミュレーション技術:理論および産業応用," 国際粉体工業展東京2020, Tokyo, Nov 18, 2020
20-1. M. Sakai, "On signed distance function based wall boundary model in the DEM simulation," PGBSIA 2020, Patiala, India, Feb 26-28, 2020
19-12. M. Sakai, "State-of-the-art modeling for DEM simulations toward virtual manufacturing," APCOM2019, Taipei, Taiwan, Dec 17-20, 2019
19-11. M. Sakai, "Recent progress on industrial DEM simulations: challenges and opportunities," International Powder and Nanotechnology Forum 2019, INCHEM TOKYO 2019, Makuhari, Nov 11-20, 2019
19-10. 酒井幹夫, "粉体シミュレーション技術とその未来展望," 粉体工業展大阪2019 Osaka, Oct 17, 2019
19-9. 酒井幹夫, "粉体・混相流の数値シミュレーションにおける革新的要素技術の開発," 粉体工学会秋期研究発表会 Osaka, Oct 15-16, 2019
19-8. 酒井幹夫, "最先端粉体シミュレーション技術の医薬品製造工程への応用," 製剤機械技術学会第29回大会 Gifu, Oct 10-11 2019
19-7. M. Sakai, "Innovative granular flow modeling for industrial systems," 18th Asian Pacific Confederation of Chemical Engineering (APCChE 2019), Sept 23-27 2019, Sapporo, Japan
19-6. M. Sakai, "Development and applications of the discrete element method for food and pharmaceutical industries," The 2nd International Conference and Exhibition on Powder Technology Indonesia, 20-21 Aug 2019, Best Western Premier Hotel Solo Baru, Indonesia [plenary]
19-5. M. Sakai, Development and application of innovative discrete element modelling for industrial systems, 7th UK-China International Particle Technology Forum, 28-31 July 2019, University of Edinburgh, UK
19-4. M. Sakai, DEM simulations for pharmaceutical engineering, 8th International Conference on Discrete Element Methods, 21-26 July 2019, University of Twente, Netherlands
19-3. M. Sakai, "Development and Application of Flexible Eurelian-Lagrangian Method for Industrial Gas-Solid Flow Systems," Fluidization XVI, May 26-31, 2019, Guilin, China
19-2. L. Yang, A. Buchan, A. Jones, P. Smith, M. Sakai, C.C. Pain, "Adaptive modelling for multiphase flow through debris bed with boiling," International Conference on Computational & Experimental Engineering and Sciences 2019, March 24-28, 2019, Tokyo
19-1. M. Sakai, "Recent progress on numerical modeling for industrial DEM simulations," Computational Sciences Workshop 2019, Jan 16-18, 2019, Tokyo