Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 3 Similar Profiles
Machining
Engineering & Materials Science
Machine tools
Engineering & Materials Science
Computer aided design
Engineering & Materials Science
Sensors
Engineering & Materials Science
Cutting tools
Engineering & Materials Science
Taguchi methods
Engineering & Materials Science
Reverse engineering
Engineering & Materials Science
Product development
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1984 2018
Analysis of tool deflection errors in precision CNC end milling of aerospace Aluminum 6061-T6 alloy
Nghiep, T. N., Sarhan, A. A. D. & Aoyama, H., 2018 Sep 1, In : Measurement: Journal of the International Measurement Confederation. 125, p. 476-495 20 p.Research output: Contribution to journal › Article
deflection
aluminum
Aluminum
Milling (machining)
Lubrication
Basic study on automatic determination of injection conditions based on automatic recognition of forming states
Ogawa, M., Aoyama, H. & Sano, N., 2018 Jan 1, In : Journal of Advanced Mechanical Design, Systems and Manufacturing. 12, 6, 115.Research output: Contribution to journal › Article
Defects
Plastic products
Injection molding
Welds
Cameras
Detection principle and verification of non-contact displacement meter with pico-meter resolution
Tamiya, H., Taniguchi, K., Yamazaki, K. & Aoyama, H., 2018 Jan 1, In : Journal of Advanced Mechanical Design, Systems and Manufacturing. 12, 5Research output: Contribution to journal › Article
Distance measurement
Interferometers
Lasers
Sensors
Semiconductor lasers
Development of design system for crack patterns on cup surface based on KANSEI
Misaka, M. & Aoyama, H., 2018 Jan 1, (Accepted/In press) In : Journal of Computational Design and Engineering.Research output: Contribution to journal › Article
System Design
Crack
Cracks
Neural Networks
Neural networks
Development of super-accurate angular encoder system with multi-detecting heads using VEDA method
Ishii, N., Taniguchi, K., Yamazaki, K. & Aoyama, H., 2018 Jan 1, In : Journal of Advanced Mechanical Design, Systems and Manufacturing. 12, 5Research output: Contribution to journal › Article
Calibration
Machine tools
Sensors
Networks (circuits)