Department of Mechanical Engineering

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Aluminum Chemical Compounds
Foams Engineering & Materials Science
aluminum Physics & Astronomy
Friction Engineering & Materials Science
foams Physics & Astronomy
Aluminum alloys Chemical Compounds
Time delay Engineering & Materials Science
Pore structure Engineering & Materials Science

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Research Output 1989 2019

Foaming behavior of blowing- and stabilization-agent-free aluminum foam precursor during spot friction stir welding

Hangai, Y., Takada, K., Fujii, H., Aoki, Y. & Utsunomiya, T., 2019 Mar 1, In : Journal of Materials Processing Technology. 265, p. 185-190 6 p.

Research output: Contribution to journalArticle

Friction stir welding
Blow molding

Refoaming of deformed aluminum foam by precursor foaming process

Hangai, Y., Matsushita, H., Suzuki, R., Koyama, S., Amagai, K., Nagahiro, R., Utsunomiya, T., Matsubara, M. & Yoshikawa, N., 2019 Jan 1, (Accepted/In press) In : Journal of Porous Materials.

Research output: Contribution to journalArticle

Blowing agents
Pore structure

Autonomous grading work using deep reinforcement learning based control

Nakatani, M., Sun, Z. & Uchimura, Y., 2018 Dec 26, Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., p. 5068-5073 6 p. 8591189. (Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Artificial intelligence
Virtual reality
Learning algorithms