Research field (6)：
Environmental load/risk assessment
, Environmental load reduction/restoration technology
, Machine materials and mechanics
, Mechanics and mechatronics
, Material fabrication and microstructure control
, Manufacturing and production engineering
Research keywords (4)：
Die
, Metal Forming
, 金型
, 塑性加工
Research theme for competitive and other funds (30)：
Takahiro Ohashi. Scrap Float Detection in a Blanking Die Set with Multiple Retrofit Accelerometers Using the Mahalanobis Taguchi System. International Journal of Automation Technology. 2024. 18. 4. 537-543
Takahiro Ohashi. Feature extraction for machine learning to detect floating scrap during stamping using accelerometer. Journal of Advanced Mechanical Design, Systems and Manufacturing. 2024. 18. 4. Paper No.23-00564
Hamed Mofidi Tabatabaei, Takahiro Ohashi, Tadashi Nishihara. Relation between Process Parameters and Pressure during Friction Stir Forming in the Development of a Superplastic Composite Steel Sheets. Materials Science Forum. 2023. 1107. 27-32
Takahiro Ohashi, Hamed Mofidi Tabatabaei, Tadashi Nishihara. Joining Aluminum Alloy and Steel by Friction Stir Forming from Steel Side. Key Engineering Materials. 2023. 966. 103-108
Takahiro Ohashi. Machine Learning-Based Feature Evaluation for Scrap Float Detection with Accelerometers in Stamping. Poceedings of the 14th International Conference on the Technology of Plasticity (Lecture Notes in Mechanical Engineering Series ). 2023. 4. 3-13
Takahiro Ohashi, Muhammad Yahaya. Preface. Key Engineering Materials. 2021. 880 KEM. iv
大橋 隆弘. THERMEC'2021, the 11th International Conference on Processing & Manufacturing of Advanced Materials. 天田財団助成研究成果報告書. 2021. 34. 303
OHASHI Takahiro, OHNO Taiki, MOFIDI TABATABEI Hamed, NISHIHARA Tadashi. Mechanical Joining of Dissimilar Materials by Friction Stir Forming with Utilizing a Preprocess with Conventional Punching. Preprints of the National Meeting of JWS. 2020. 2020s. 42-43
OHASHI Takahiro, MOFIDI TABATABAEI Hamed, NISIHARA Tadashi. Pseudo Linear Joining of Dissimilar Materials by Friction Stir Forming with Utilizing a Preprocess with Conventional Punching. Preprints of the National Meeting of JWS. 2020. 2020f. 120-121
Machine Learning-Based Feature Evaluation for Scrap Float Detection with Accelerometers in Stamping
(14th International Conference on the Technology of Plasticity 2023)
2007/04 - 2012/03 kokushikan University School of Science and Engineering, Department of Science and Engineering Associate Professor
2010/10 - 2011/09 Imperial College London Researher Postdoc
2010/10 - 2011/09 Imperial College London Researcher
2006/04 - 2007/03 National Institute of Advanced Industrial Science and Technology (AIST) Applied Manufacturing Technology Research Team Team Leader
2001/04 - 2007/03 独立行政法人産業技術総合研究所 室長
2004/04 - 2006/03 National Institute of Advanced Industrial Science and Technology (AIST) Fusion Technology Research Team, Digital Manufacturing Research Center Team Leader
2001/04 - 2004/03 National Institute of Advanced Industrial Science and Technology (AIST) Metal Forming Research Team, Digital Manufacturing Research Center Team Leader
1998/07 - 2001/03 Research Assistant
2000/11 - 2000/12 Cranfield University Researher Postdoc
2016/09 - The ICMEA 2016 Comittee, IETP Association Second Paper Award, ICMEA 2016 Cylindrical Pin Embossment on A5083 Aluminum Alloy Substrate Fabricated by Friction Stir Forming
2016/07 - 国士館大学 科研費奨励賞
2016/04 - Internationa Cobference on Advanced Materials and Engineering Materials(ICAMEM) 2016 Organaizing Comittte ICAMEM2016 Best Paper Award Steel Tube Bending with a Filling Medium of Fiber-Reinforced Ice (FRI)
