Article
Engineering, Multidisciplinary
Tang XinYu, Xu Kun, Bi QingZhen, Song ZhiYong, Ji YuLei, Qian DeHou
Summary: This paper proposes a tracking interferometer based on a bi-rotary milling head for volumetric accuracy measurement of a five-axis machine tool. By improving the multilateration principle, the geometric errors of rotary axis and laser beam are identified and minimized for reducing measurement uncertainty. Experimental results verify the performance of the proposed scheme.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Automation & Control Systems
Ahmed Elmelegy, Sarwat Zahwi
Summary: This study compares and analyzes machine tool errors by using laser interferometer system and autocollimator system to identify, measure, and analyze geometric errors.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Seth Osei, Wei Wang, Jiahao Yu, Qicheng Ding
Summary: The newly proposed Scone test piece, combining the characteristics of the S-shaped and cone-frustum test pieces, can better reflect the dynamic performance of the five-axis machine tool.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
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)
Review
Automation & Control Systems
Haorong Wu, Xiaoxiao Li, Fuchun Sun, Yongxin Zhao
Summary: This paper discusses the volumetric positioning accuracy of multi-axis CNC machine tools and its impact, and introduces the robust design method and static geometric accuracy design method. It also proposes a research idea to improve this accuracy.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
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
Engineering, Mechanical
Deniz Bilgili, Erhan Budak, Yusuf Altintas
Summary: This paper proposes a computationally efficient multibody dynamic model to predict the pose-dependent dynamics of a five-axis machine tool. The model reduces the number of unknowns and computation time by using a Jacobian-based kinematics formulation and vibration mode identification method.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Peitong Wang, Jinwei Fan, Qinzhi Zhao, Junjian Wang
Summary: This paper proposes a novel approach for geometric error identification of rotation axis in five-axis machine tools. It establishes a single axis rotation identification model and develops measurement trajectories to determine the geometric errors. The fourth-order truncated Fourier series is used for data fitting. Simulation and experiments confirm the effectiveness and feasibility of the proposed method.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Ruijun Liang, Zhiqiang Wang, Weifang Chen, Wenhua Ye
Summary: This paper proposes a novel compensation method for geometric errors on machine tools, involving multibody system kinematics modeling and off-line iteration compensation to eliminate additional errors while improving accuracy.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Engineering, Multidisciplinary
Zexin Zhuang, Kun Xu, Shaokun Zhang, Qingzhen Bi, Yulei Ji, Zhiyong Song
Summary: This paper proposes a novel inverse multilateration method that improves measurement accuracy by conducting sensitivity analysis and calibration of position-independent geometric errors in rotary axes. The paper investigates the error propagation mechanism and identifies the main error sources through sensitivity analysis, and optimizes the number and distribution of measured points based on the analysis results. Monte Carlo simulations and experiments on a bi-rotary head five-axis machine tool confirm that the proposed method significantly enhances the accuracy and efficiency of inverse multilateration measurement.
Article
Automation & Control Systems
Haohao Tao, Jinwei Fan, Tongjie Li, Feng Chen, Ri Pan
Summary: This paper presents a new sensitivity analysis method to extract key geometric errors and improve the machining performance of machine tools. The method involves developing a geometric error prediction model and a machining error model, and introducing a sensitivity index to quantify the impact of each geometric error on machining error. The validity and correctness of the method are demonstrated through simulations and experiments, and it can be extended to multi-axis machine tools.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Hao Wang, Xiaogeng Jiang
Summary: A universal identification method for position independent geometric errors (PIGEs) of dual rotary axes of five-axis machine tools with arbitrary rotary axis position structures is proposed based on the unit dual quaternion (UDQ). The method redefines the PIGEs using UDQ transformation and establishes a kinematic error model for error identification. A novel method for identifying PIGEs through the synchronous motion of dual rotary axes using a double ball bar (DBB) is proposed. The proposed method can greatly reduce the complexity of the experiment and operation steps by directly constructing the relative kinematic relationship between the tool and the workpiece based on the error model.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
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
Engineering, Multidisciplinary
Haohao Tao, Tongjie Li, Feng Chen, Jinwei Fan, Ri Pan
Summary: In this paper, a novel OTA method is proposed that considers the relationship between tolerance of machine tools' key parts and volumetric error. A volumetric error prediction model is established based on the bridge between geometric error and tolerance. Additionally, a Processing Simplicity Index (PSI) is introduced to replace manufacturing cost and a tolerance-PSI model is established. An OTA model is formulated to minimize volumetric error and maximize PSI. The feasibility and effectiveness of the method are validated through simulations and experiments.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2024)
Article
Automation & Control Systems
Peitong Wang, Jinwei Fan, Xingfei Ren
Summary: This paper proposes a new geometric error compensation algorithm for five-axis machine tools, which establishes a general machining error model based on multi-body theory (MBS) and homogeneous transmission matrix (HTM). The algorithm calculates the initial NC code for each axis, considering the deviation of the tool setting point. Geometric error compensation is then developed using an improved particle swarm optimization (IPSO) to find the optimal NC code, effectively reducing the volume error of the machine tool. Experimental results show that the proposed method improves the comprehensive machining accuracy by 17.5% compared to linear interpolation (LI) compensation, with a reduction of 0.0058 mm in the maximum machining error.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
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)