*Masatoshi Ohara², Yuma Nakazawa¹, Roman Mori¹, Yuya Sasai², Shin-ichiro Tanifuji³, Daisuke Yorifuji³, Kentaro Taki¹ (1. Kanazawa Univ., 2. SHIBAURA MACHINE, 3. HASL)

特別セッション

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

Wed. Nov 29, 2023 9:30 AM - 10:50 AM Room B (Applause B)

座長:伊藤浩志(山形大学)

+Add all to schedule

9:30 AM - 10:10 AM

[B-201] Practice of Process Informatics Essential for Manufacturing DX

*Manabu Kano¹ (1. Kyoto Univ.)

10:10 AM - 10:30 AM

[B-203] Multimodal deep learning for polymer composite materials

*Shun Muroga¹, Yasuaki Miki¹, Kenji Hata¹ (1. AIST)

10:30 AM - 10:50 AM

[B-204] Estimation of conditions in an injection molding die by using data assimilation and computational fluid dynamics

*Yamato Ohira¹, Takekazu Sawa¹, Yasuhiko Murata² (1. Shibaura Institute of Technology, 2. Nippon Institute of Technology)

特別セッション

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

Wed. Nov 29, 2023 11:00 AM - 12:20 PM Room B (Applause B)

座長:村田泰彦(日本工業大学)

+Add all to schedule

11:00 AM - 11:20 AM

[B-205] Energy efficiency and conservation of production lines through digital twins - Modeling and simulation of injection molding lines -

*Kazuhide Kaifuku¹, Hironori Hibino² (1. Toyota Boshoku Corporation, 2. Nihon University)

11:20 AM - 11:40 AM

[B-206] Efficient Exploration for the Experimental Conditions Using Active Learning

*Masahiro Nagaka¹ (1. Zeon Corporation)

11:40 AM - 12:00 PM

[B-207] Investigation of Injection Molding Conditions for Long Fiber CFRTP using Machine Learning

*Takanori Sugimoto¹, Tatsuya Watanabe¹, Yoko Yoshida¹, Yoshitaka Shibata¹, Yoshitaka Adachi² (1. Aichi Center for Industry and Science Technology, 2. Nagoya Univ.)

12:00 PM - 12:20 PM

[B-208] Simulation of gas permeability of porous molded products

*Kiyotaka Ishino¹ (1. Aisin Corporation)

特別セッション

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

Wed. Nov 29, 2023 1:20 PM - 2:40 PM Room B (Applause B)

座長:引間悠太(産業技術総合研究所)

+Add all to schedule

1:20 PM - 1:40 PM

[B-209] Analysis of Particle Morphology Change and Thermal History of Marine Degradable Cellulose Micro-particles in a Twin Screw Extruder

*Shogo Nagasawa¹, Masatoshi Ohara³, Makihiro Tuchida², Shin-ichiro Tanifuji⁴, Daisuke Yorifuji⁴, Kentaro Taki¹ (1. Kanazawa Univ., 2. Daicel, 3. SHIBAURA, 4. HASL)

1:40 PM - 2:00 PM

[B-210] Application of Machine Learning and Artificial Intelligence in Predicting the Colour of Extruded Thermoplastic Resins

*Puay Keong Neo^1,2, Daryl Boon Yao Neo², Qing Sheng Goh², Moi Fuai Soon², Tiah Cheo Wee², Sean Yu Sheng Lim², Yu Zhe See², Supaphorn Thumsorn¹, Naoyuki Shigeta³, Yew Wei Leong⁴, Hiroshi Ito¹ (1. Yamagata University, 2. Omni-Plus System Limited, 3. Omni-Plus System Japan, 4. Matwerkz Technologies Pte Ltd)

2:00 PM - 2:20 PM

[B-211] Research on manufacturing method and property improvement of continuous carbon fiber filament for 3D printer

*Kouya Hosokawa¹, Tatsuya Tanaka¹, Masahiro sasada¹ (1. Doshisha Univ)

2:20 PM - 2:40 PM

[B-212] Development of a strength simulator for layered objects fabricated with a back-illuminated light-curing 3D printer

*Ryu Arakawa¹, Kentaro Taki¹ (1. Kanazawa Univ.)

Sessions

Special Session » From MI to PI in plastic molding that realizes sustainability and productivity with DX

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

[B-101] Development of multi-scale simulation technology for digital design of polymer materials

[B-103] Simulation of non-isothermal crystallization behavior of polymer/cellulose nanofiber (CNF) composites using crystallization kinetic data

[B-104] Chemometrics analysis of in situ Raman spectra

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

[B-105] Maintain molding quality and reduce costs by monitoring the molding process

[B-106] Chemical monitoring method for injection molding process of blend polymer using in-line spectroscopy

[B-107] Inverse problem for injection molding conditions by non-parametric Bayesian model

[B-108] Development of sensing, simulation, and data analysis technology for the digital twin of twin-screw extruder

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

[B-201] Practice of Process Informatics Essential for Manufacturing DX

[B-203] Multimodal deep learning for polymer composite materials

[B-204] Estimation of conditions in an injection molding die by using data assimilation and computational fluid dynamics

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

[B-205] Energy efficiency and conservation of production lines through digital twins - Modeling and simulation of injection molding lines -

[B-206] Efficient Exploration for the Experimental Conditions Using Active Learning

[B-207] Investigation of Injection Molding Conditions for Long Fiber CFRTP using Machine Learning

[B-208] Simulation of gas permeability of porous molded products

サステナビリティと生産性をDXで実現するプラスチック成形加工のMIからPIまで

[B-209] Analysis of Particle Morphology Change and Thermal History of Marine Degradable Cellulose Micro-particles in a Twin Screw Extruder

[B-210] Application of Machine Learning and Artificial Intelligence in Predicting the Colour of Extruded Thermoplastic Resins

[B-211] Research on manufacturing method and property improvement of continuous carbon fiber filament for 3D printer

[B-212] Development of a strength simulator for layered objects fabricated with a back-illuminated light-curing 3D printer

Authentication