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IJAT Most Downloaded Papers, Jan. 2024

This month Last month Vol. No. Title / Authors Keywords
No.1 - Vol.18
No.1
(2024)
Experimental In-Situ Observatory on Brownian Motion Behavior of 105 nm Sized Silica Particles During Chemical Mechanical Polishing of 4H-SiC by an Evanescent Field
Thitipat Permpatdechakul, Panart Khajornrungruang, Keisuke Suzuki, Aran Blattler, and Jiraphan Inthiam
nano-particle, polishing phenomena, wet process, evanescent wave, silicon carbide (SiC)
No.2 1 Vol.11
No.1
(2017)
“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples
Klaus-Dieter Thoben, Stefan Wiesner, and Thorsten Wuest
industry 4.0, smart manufacturing, cyber-physical systems, industrial internet, smart factory
No.3 - Vol.18
No.1
(2024)
Machine-Learning-Based Model Parameter Identification for Cutting Force Estimation
Junichi Kouguchi, Shingo Tajima, and Hayato Yoshioka
milling, cutting force, machine learning, model-based monitoring, in-process monitoring
No.4 - Vol.18
No.1
(2024)
Diameter Measurement for Micro-Spheres via Coherent Scanning Interferometry with Reference to Gauge Block
Masaki Michihata, Shotaro Kadoya, and Satoru Takahashi
micro-sphere, gauge block, coherent scanning interferometry, comparator principle, measurement uncertainty
No.4 - Vol.18
No.1
(2024)
On-Machine Calibration of Pitch Deviations of a Linear Scale Grating by Using a Differential Angle Sensor
Jiucheng Wu, Yifang Hong, Dong Wook Shin, Ryo Sato, Lue Quan, Hiraku Matsukuma, and Wei Gao
on-machine, linear scale grating, laser autocollimation, pitch deviation measurement
No.5 12 Vol.17
No.1
(2023)
Research on the Positioning and Recognition of an Intelligent Inspection Robot in Substations
Liyun Xing
inspection robot, positioning, substation, machine vision
No.6 - Vol.18
No.1
(2024)
Shock Wave Detection for In-Process Depth Measurement in Laser Ablation Using a Photonic Nanojet
Tsutomu Uenohara, Makoto Yasuda, Yasuhiro Mizutani, and Yasuhiro Takaya
laser ablation, in-process measurement, shock wave, photonic nanojet
No.7 - Vol.18
No.1
(2024)
A Technique for Estimating the Pitch of Interference Fringe Patterns for Pattern Exposure in a Non-Orthogonal One-Axis Lloyd’s Mirror Interferometer
Nozomu Takahiro and Yuki Shimizu
laser interference lithography, Lloyd’s mirror interferometer, diffraction grating
No.7 6 Vol.17
No.3
(2023)
Digital Twin of Experience for Human–Robot Collaboration Through Virtual Reality
Tetsunari Inamura
digital twin, virtual reality, human–robot interaction, behavior change
No.8 - Vol.18
No.1
(2024)
Fundamental Study of Press Molding Method for CFRP Preform Using a 3D Printer
Hidetake Tanaka, Yuuki Nishimura, Tatsuki Ikari, and Emir Yilmaz
CFRP, preform, 3D printer, press molding, CAM
No.8 - Vol.18
No.1
(2024)
Measurement and Control of Body Pressure Towards Smart Bed System
Jun Ito and Shin Usuki
body pressure, FEM analysis, Laplacian filter, smart bed system
No.8 - Vol.18
No.1
(2024)
Repetition Frequency Control of a Mid-Infrared Ultrashort Pulse Laser
Hiraku Matsukuma, Masashi Nagaoka, Hisashi Hirose, Ryo Sato, Yuki Shimizu, and Wei Gao
mid-infrared laser, mode-locked laser, repetition frequency, phase-locked loop
No.8 16 Vol.6
No.2
(2012)
Indirect Measurement of Volumetric Accuracy for Three-Axis and Five-Axis Machine Tools: A Review
Soichi Ibaraki and Wolfgang Knapp
volumetric accuracy, indirect measurement, machine tools, kinematic model
No.9 7 Vol.16
No.4
(2022)
Magnetic Levitation Technology for Precision Motion Systems: A Review and Future Perspectives
Lei Zhou and Jingjie Wu
magnetic levitation, mechatronics, actuators, precision motion systems, precision positioning
No.10 - Vol.18
No.1
(2024)
Measurement of a Freeform Surface by Dragging Three Point Method Along with a Circular Path
Kento Tokuchi, Mikio Kurita, and Keisuke Takahashi
freeform, measurement, dragging three-point method, circular path, telescope
No.10 2 Vol.17
No.5
(2023)
Anomalous Change Detection in Drilling Process Using Variational Autoencoder with Temperature Near Drill Edge
Haruhiko Suwa, Kazuya Oda, and Koji Murakami
anomalous change detection, drilling process, machine learning, variational autoencoder, temperature near drill edge

Count period : January 1-31, 2024

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Last updated on Oct. 19, 2024