Article
Automation & Control Systems
Yaozhou Pu, Ling Wang, Ming Yin, Guofu Yin, Luofeng Xie
Summary: This paper investigates error modeling methods and identification algorithms for geometric errors, as well as develops a new R-Test device. The effectiveness of the measurement method is verified through a four-point measurement experiment.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Xuehu Lv, Qianjian Guo, Wei Yuan, Wenhua Wang, Yuqi Zhu, Haotian Wang
Summary: By using the indirect error measurement method, the predictive ability of the error model of the five-axis machine tool is improved, and the optimized design of the sample is completed. The reliability and practical effects of the method are verified through experiments.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Soichi Ibaraki, Rin Okumura
Summary: By using kinematic modeling, this paper investigates the thermal influence on the position and orientation errors of rotary axis average lines in five-axis machine tools. A new machining test method is proposed and an experimental case study demonstrates the observable changes in these errors due to thermal effects in finished test piece geometry.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2021)
Article
Chemistry, Multidisciplinary
Cao-Sang Tran, Tung-Hsien Hsieh, Wen-Yuh Jywe
Summary: This study proposes a solution to improve the angular positioning accuracy of five-axis machine tools by using Laser R-test for calibration and compensation. The system achieved an angular error of 0.0121 degrees for actual workpieces, which is smaller than the commercial system's 0.0022 degrees error.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
Van-Hai Nguyen, Tien-Thinh Le, Hoanh-Son Truong, Huan Thanh Duong, Minh Vuong Le
Summary: This study proposes a rapid and robust machine-learning model for predicting the volumetric error of a five-axis machine tool. Several machine learning models are compared to find the best model for the problem at hand. The results show that the models proposed in this paper are more effective than those in the literature. The SVR Regression model has proven to be the best, with an RMSE of 0.03246 mm.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Automation & Control Systems
Weishu Song, Peiqing Ye, Hui Zhang, Bingran Li
Summary: A study was conducted on a fast compensation method for five-axis machine tools, which aims to improve accuracy and efficiency by optimizing error parameters. Experimental results show that this method significantly improves compensation accuracy and efficiency.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Dawen Ruan, Jian Mao, Gang Liu, Ma Li
Summary: This paper proposes an effective error measurement and identification method for quickly and accurately identifying the synchronous motion errors of dual-five-axis CNC machine tool. The method consists of an error identification model and a new error measurement trajectory, which have been verified through milling experiments to be more efficient.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Shyh-Leh Chen, Mun-Hooi Khong, Sheng-Min Hsieh
Summary: This study focuses on the contouring control problem of a five-axis machine tool. With the presence of rotation axes, two coordinate systems are involved, namely the workpiece coordinate system and the machine coordinate system. The challenge lies in designing a controller in the machine coordinate system that meets the requirements in the workpiece coordinate system. Another challenge is to minimize both the position contour error and tool orientation error. The method of equivalent errors is adopted for the design of the contouring controller, transforming the desired path and tool orientation in the workpiece coordinate system into a five-dimensional hyper-curve in the machine coordinate system. Numerical and experimental results validate the effectiveness of the proposed contouring control method.
Article
Automation & Control Systems
Xiangyu Kong, Liping Wang, Guang Yu, Weitao Li, Mengyu Li
Summary: This paper proposes a servo matching method to reduce contour errors in the five-axis hybrid machine tool. By modeling and simplifying the servo system, the mechanism for single-axis tracking error is revealed and a servo response index is proposed. The mechanism of the tool contour error is revealed through kinematics analysis. Finally, a servo detection trajectory and a servo matching method are proposed. Experimental results demonstrate the correctness of the error mechanism and the effectiveness of servo matching in reducing contour errors.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Liping Wang, Xiangyu Kong, Guang Yu, Weitao Li, Mengyu Li, Anbang Jiang
Summary: This study proposes a new tool-pose representation method TP and designs a cross-coupled controller to solve the contour control difficulties of five-axis hybrid machine tools during high-speed motion. By establishing a kinematic model and solving the error transfer law, the estimation and control of TP are achieved. The experimental results verify the effectiveness of the method.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2022)
Article
Engineering, Multidisciplinary
Zhiqiang Li, Zhenli Huang, Song Yin, Haibo Zhou, Ji-an Duan
Summary: This paper proposes a method to calibrate the geometric error of rotation axis using a monocular camera, modeling and calibrating the geometric error of the two rotating axes of a five-axis motion platform. Experimental results show that the method effectively reduces the average position and orientation errors.
Article
Computer Science, Artificial Intelligence
Seth Osei, Wang Wei, Jiahao Yu, Qicheng Ding
Summary: This study proposes a decoupling method to identify the main motion axis causing tool tracking errors and compute the errors. The results show that tool tracking errors are greatly influenced by certain dynamic parameters, and the method robustly identifies the motion axes affecting the dynamic tracking error.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Zhang Hainan, Xiang Sitong, Liu Chao, Sun Jianghao, Attifu John Kobla
Summary: A new approach of reverse identification for dynamic and static motion error of five-axis machine tools is proposed through specimen cutting and feature decomposition. An error mapping is established between workpiece features and corresponding errors, and a feature specimen is designed accordingly. By measuring the specimen with on-machine measurement and CMM, 15 static motion errors and dynamics-induced errors can be identified and separated. The error estimates are verified by direct measurement via interferometer, autocollimator, and ballbar tests. These errors are compensated using a volumetric error model, effectively increasing the accuracy of the specimen after compensation, confirming the feasibility and accuracy of this method.
Article
Engineering, Chemical
Dun Lyu, Jian Liu, Shiyou Luo, Shuo Liu, Qunlin Cheng, Hui Liu
Summary: This paper proposes a digital twin modeling method for predicting the continuous trajectory contour error of five-axis machine tools. By establishing a digital twin model, the contour error of tool position and orientation can be predicted during the machining process. Experimental results demonstrate the effectiveness and practicality of the proposed method.
Article
Engineering, Multidisciplinary
Tao Cheng, Sitong Xiang, Hainan Zhang, Jianguo Yang
Summary: This paper presents a new machining test for identifying the geometric and thermal errors of rotary axes on a five-axis machine tool. The test piece and measurement methods are designed to accurately identify various errors of the rotary axis. The proposed method shows good agreement with classical machining tests, and the identification principle and analytical solution for each error are simple and unaffected by linear axes, thus improving the accuracy of machining.
Article
Engineering, Multidisciplinary
Soichi Ibaraki, Hiroki Inui, Cefu Hong, Shizuo Nishikawa, Masahiro Shimoike
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2019)
Article
Automation & Control Systems
Nico Zimmermann, Soichi Ibaraki
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2020)
Article
Engineering, Multidisciplinary
Soichi Ibaraki, Mashu Hiruya
Summary: A novel scheme is proposed in this paper to measure the two-dimensional error motions of two linear axes using only a laser interferometer. This scheme offers practical advantages with lower implementation cost and simplicity. An experimental case study on a large-sized machine tool is presented along with uncertainty analysis.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Soichi Ibaraki, Rin Okumura
Summary: By using kinematic modeling, this paper investigates the thermal influence on the position and orientation errors of rotary axis average lines in five-axis machine tools. A new machining test method is proposed and an experimental case study demonstrates the observable changes in these errors due to thermal effects in finished test piece geometry.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2021)
Article
Engineering, Manufacturing
Nuodi Huang, Yang Zhang, Limin Zhu, Soichi Ibaraki
Summary: This study proposes a machining test method to visually evaluate the thermal influence on machine tools without the need for measuring instruments. Experimental results demonstrate that the selected machine tool requires 150 minutes of sufficient warm-up time within the specified permissible deviation range.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Manufacturing
Qingzhao Li, Soichi Ibaraki, Wei Wang
Summary: This paper proposes a new machining test to evaluate the influence of rotation direction reversal on surface geometry and roughness quantitatively. The study finds that smoothing in the machine coordinate system can cause contour errors, while smoothing in the workpiece coordinate system can completely eliminate these errors.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Automation & Control Systems
Nan Zhao, Soichi Ibaraki
Summary: This paper proposes a kinematic model and calibration scheme to improve the absolute positioning accuracy of industrial robots. The model includes not only link length errors and angular offsets, but also the error map of angular positioning deviation and the influence of backlash. Experimental results show that the model is effective and the compensation reduces the average absolute position error by 33%.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Shota Onishi, Soichi Ibaraki, Tomoyasu Kato, Masashi Yamaguchi, Takao Sugimoto
Summary: This paper proposes a novel scheme to separately identify the geometric errors of linear and rotary axes by using a touch-trigger probe and an uncalibrated test piece. Two case studies are presented, showing the long-term change in geometric errors and the influence of room temperature change on error motions.
Article
Engineering, Multidisciplinary
Soichi Ibaraki, Ryota Usui
Summary: This study introduces a new kinematic model for industrial robots, which accurately measures the angular positioning deviation of each rotary axis and proposes a new measurement method using open-loop tracking interferometer. Experimental results show that the accuracy of this model surpasses the conventional D-H model.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2022)
Article
Automation & Control Systems
Md Moktadir Alam, Soichi Ibaraki, Koki Fukuda, Sho Morita, Hiroshi Usuki, Naohiro Otsuki, Hirotaka Yoshioka
Summary: This article proposes a new kinematic model and identification scheme to improve the absolute positioning accuracy of industrial robots. The model considers the angular positioning deviations of the rotary axes and the influence of backlash, and it is identified using a laser tracker. Experimental results validate the prediction accuracy of the proposed model.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Industrial
S. Ibaraki, R. Saito
Summary: This study proposes a novel kinematic model for an articulated arm coordinate measuring machine (AACMM) that includes angular position measurement errors of rotary axes. To evaluate the model, a new Single Point Articulation Test (SPAT) setup is presented, and the R-Test is used to measure the stylus sphere's three-dimensional displacement. The experimental results evaluate the prediction accuracy of the proposed model.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Review
Engineering, Manufacturing
Wei Gao, Soichi Ibaraki, M. Alkan Donmez, Daisuke Kono, J. R. R. Mayer, Yuan -Liu Chen, Karoly Szipka, Andreas Archenti, Jean-Marc Linares, Norikazu Suzuki
Summary: This article presents advanced technologies for the calibration of machine tools. It categorizes kinematic errors into intra-axis errors, inter-axis errors, and volumetric errors. It addresses the measurement methods, modeling theories, and compensation strategies for machine tool errors as the major technological elements of machine tool calibration. The criteria for selecting a combination of technological elements for machine tool calibration are provided based on accuracy, complexity, and cost. Recent applications of artificial intelligence and machine learning in machine tool calibration are introduced and future trends in machine tool calibration are discussed.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2023)
Article
Engineering, Multidisciplinary
Zhiyang Zhao, Nuodi Huang, Lei Zhong, Zhengchun Du, Soichi Ibaraki, Limin Zhu
Summary: This paper proposes an on-machine measurement method to evaluate the thermal influence on long-span crossbeam of gantry machine tools. A kinematic model is established to compute the deformation of the crossbeam, and algorithms for position calibration and point cloud registration are proposed. Through a continuous warm-up experiment, the thermal errors of the Y-axes are calculated, and the effectiveness of the proposed method is verified.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2023)
Article
Engineering, Industrial
S. Ibaraki, K. Fukuda, M. M. Alam, S. Morita, H. Usuki, N. Otsuki, H. Yoshioka
Summary: This study proposed a novel kinematic model for volumetric error compensation of six-axis robots, taking into account the angular positioning deviation of each rotary axis. Experimental results showed a significant reduction in static volumetric error across the entire workspace.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Soichi Ibaraki, Mashu Hiruya
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2020)
