Ryuta SATO

Ryuta SATO

Kobe University

H-index: 19

Asia-Japan

About Ryuta SATO

Ryuta SATO, With an exceptional h-index of 19 and a recent h-index of 14 (since 2020), a distinguished researcher at Kobe University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel evaluation method for motion trajectory of machine tool feed drives based on human visual sensitivity

Design assist apparatus, design assist method, and design assist program for a mechanical device driven by a feedback controlled electric motor

Development of contact detection method between tool cutting edge and workpiece (Influence of contact state onto vibration characteristics and contact detection during milling …

Positioning command design method for shorter distance positioning operations based on analyzed residual vibration amplitude

Object surface evaluation method, evaluation device, workpiece machining method using said evaluation method, and machine tool

Characteristic evaluation device and characteristic evaluation method of shaft coupling

Nanometer-order contouring control in a feed drive system using linear ball guides by applying a combination of modified disturbance observer and repetitive control

Tool Condition Monitoring Method Assisted by Real-time Cutting Force Simulation for End Milling Operation

Ryuta SATO Information

University

Position

___

Citations(all)

1476

Citations(since 2020)

751

Cited By

1035

hIndex(all)

19

hIndex(since 2020)

14

i10Index(all)

48

i10Index(since 2020)

26

Email

University Profile Page

Kobe University

Google Scholar

View Google Scholar Profile

Top articles of Ryuta SATO

Title

Journal

Author(s)

Publication Date

Novel evaluation method for motion trajectory of machine tool feed drives based on human visual sensitivity

한국생산제조학회 학술발표대회 논문집

Ryuta Sato

2024/4

Design assist apparatus, design assist method, and design assist program for a mechanical device driven by a feedback controlled electric motor

2023/6/6

Development of contact detection method between tool cutting edge and workpiece (Influence of contact state onto vibration characteristics and contact detection during milling …

Journal of Advanced Mechanical Design, Systems, and Manufacturing

Yu Igarashi

Ryuta Sato

Keiichi Shirase

2023

Positioning command design method for shorter distance positioning operations based on analyzed residual vibration amplitude

Precision Engineering

Daichi Kondo

Ryuta Sato

Keiichi Shirase

2022/3/1

Object surface evaluation method, evaluation device, workpiece machining method using said evaluation method, and machine tool

2022/11/22

Characteristic evaluation device and characteristic evaluation method of shaft coupling

2022/9/1

Nanometer-order contouring control in a feed drive system using linear ball guides by applying a combination of modified disturbance observer and repetitive control

Nanomanufacturing and Metrology

Tomofumi Ohashi

Hitoshi Shibata

Shigeru Futami

Ryuta Sato

2021/6

Tool Condition Monitoring Method Assisted by Real-time Cutting Force Simulation for End Milling Operation

Kazuki KANEKO

Isamu NISHIDA

Ryuta SATO

Keiichi SHIRASE

2021

A practical method to monitor tool wear in end milling using a changing cutting force model that requires no additional sensors

Journal of Advanced Mechanical Design, Systems, and Manufacturing

Kazuki Kaneko

Isamu Nishida

Ryuta Sato

Keiichi Shirase

2021

Influence of Tool Length and Profile Errors on the Inaccuracy of Cubic-Machining Test Results

Journal of Manufacturing and Materials Processing

Zongze Li

Hiroki Ogata

Ryuta Sato

Keiichi Shirase

Shigehiko Sakamoto

2021/5/19

Evaluating the influence of mechanical system vibration characteristics on servo motor efficiency

Precision Engineering

Massimiliano Rigacci

Ryuta Sato

Keiichi Shirase

2021/11/1

Evaluation of torque-dependent coupling characteristics and their influence on the system vibration characteristics

Journal of Advanced Mechanical Design, Systems, and Manufacturing

Massimiliano Rigacci

Ryuta Sato

Keiichi Shirase

Taichi Sasaki

2021

Dynamic Tracking Error Simulation of Five-axis Sphere Machining Test through a Partial Simulation Method

Zongze Li

Ryuta Sato

Keiichi Shirase

2021/3/3

Vibration mode and motion trajectory simulations of an articulated robot by a dynamic model considering joint bearing stiffness

International Journal of Automation Technology

Ryuta Sato

Yuya Ito

Shigeto Mizuura

Keiichi Shirase

2021/9/5

Evaluation and Comparison of Coupling Stiffness and Damping based on Frequency Characteristics

Ryuta SATO

Makoto TANIYAMA

Massimiliano RIGACCI

Taichi SASAKI

Keiichi SHIRASE

2021

Study on the influence of geometric errors in rotary axes on cubic-machining test considering the workpiece coordinate system

Precision Engineering

Zongze Li

Ryuta Sato

Keiichi Shirase

Shigehiko Sakamoto

2021/9/1

Analytical time constant design for jerk-limited acceleration profiles to minimize residual vibration after positioning operation in NC machine tools

Precision Engineering

Ryuta Sato

Keiichi Shirase

2021/9/1

Evaluation of the Influence of Contact between Tool and Workpiece on the Machine Tool Vibration Characteristics based on Detected Contacting Condition

Yu IGARASHI

Ryuta SATO

Keiichi SHIRASE

2021

Identification method of error motions and geometric errors of a rotary axis by R-test

International Journal of Automation Technology

Takaaki Kenno

Ryuta Sato

Keiichi Shirase

Shigemasa Natsume

Henny Spaan

2020/5/5

Evaluation of Contacting Effect Between Tool and Workpiece on Vibration Characteristics of NC Machine Tools

Taisuke Hokazono

Ryuta Sato

Isamu Nishida

Keiichi Shirase

2020/9/3

See List of Professors in Ryuta SATO University(Kobe University)

Co-Authors

H-index: 57
Kornel Ehmann

Kornel Ehmann

Northwestern University

H-index: 30
Gianni Campatelli

Gianni Campatelli

Università degli Studi di Firenze

H-index: 28
Hiroyuki Sasahara

Hiroyuki Sasahara

Tokyo University of Agriculture and Technology

H-index: 19
Niccolò Grossi

Niccolò Grossi

Università degli Studi di Firenze

academic-engine