Article
Engineering, Industrial
Christian Brecher, Robert Spierling, Marcel Fey, Stephan Neus
Summary: This paper presents a novel, cost-effective, machine integrated measurement method for small and medium sized machine tools to detect thermally induced errors. Based on the measured output of the system, 13 of 21 errors of a three-axis kinematic can be derived, and error-specific uncertainties are evaluated using the Monte Carlo method. Experimental results demonstrate the capability of the measurement method.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Feng Tan, Guofu Yin, Kai Zheng, Xin Wang
Summary: A new thermal error modeling method has been proposed in this study, which improves prediction performance by segmenting and fusing sub-models while preserving local prediction characteristics. Experimental results demonstrate the method's advantages in prediction accuracy and precision.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(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
Automation & Control Systems
Yupeng Wang, Shi Wu, Xianli Liu, Yong Zhang, Chunfeng Wang
Summary: This study proposes a method to model the axial thermal error in the machining space of five-axis machine tools. By establishing a comprehensive thermal error model, the axial thermal error of the spindle and worktable at different speeds can be predicted. Experimental verification shows that the proposed model is accurate.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
F. Egana, J. A. Yague-Fabra, U. Mutilba, S. Vez
Summary: Thermal effects pose a significant challenge for accurate large machine tools due to thermal drift in the structural loop. This study introduces a new methodology for uncertainty assessment in the Machine Tool Integrated Inverse Multilateration approach, highlighting ambient temperature variations as a major uncertainty contributor. An a priori Monte-Carlo simulation helps develop a measurement strategy to minimize the impact of thermal issues.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Ji Peng, Ming Yin, Li Cao, Luo-Feng Xie, Xian-Jun Wang, Guo-Fu Yin
Summary: An analytical modeling method was proposed to study the spindle angular thermal errors of a CNC machine tool. The model considered the effects of machine tool structure and position, and was able to predict the errors under different working conditions. The proposed model exhibited good generalization ability.
ADVANCES IN MANUFACTURING
(2023)
Article
Automation & Control Systems
Lei Song, Kuo Liu, Di Zhao, Song Zhang, Zewei Zhang, Yongqing Wang
Summary: A spindle axial time-varying thermal error compensation method based on edge computing was studied to reduce the impact of the error on the accuracy consistency of high-end parts in horizontal boring and milling machine tool (HBMMT). The error model was established based on the speed and acceleration of spindle temperature change, and the compensation value was acquired using edge computing. The error was then compensated by offsetting the coordinate origin, resulting in a reduced error fluctuation range and improved accuracy stability of HBMMT.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Yang Li, Maolin Yu, Yinming Bai, Zhaoyang Hou, Wenwu Wu
Summary: This paper presents an overview of thermal error modeling methods researched and applied in the past ten years. It introduces the modeling principle and compensation methods of machine tools, classifies and summarizes different methods in detail, and forecasts the future research trend of thermal error modeling.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Unai Mutilba, Jose A. Yague-Fabra, Fernando Egana, Gorka Kortaberria, Luis Uriarte
Summary: Metrological traceability and micrometre-level measurement uncertainty are the main challenges in traceable coordinate measurement on large machine tools. Time- and space-varying thermal conditions have a major impact on the machine tool structure and contribute to uncertainty. This research proposes the use of integrated multilateration and machine tool controller information to minimize the influence of thermal conditions and characterize coordinate measurements. Experimental results demonstrate measurement uncertainty within an 18-micrometre range, ensuring required metrological traceability.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Review
Materials Science, Composites
Venkata Ramana Mula, ArunRamnath Ramachandran, Thyla Pudukarai Ramasamy
Summary: Machine tool structures made of Epoxy Granite reinforced polymer composites (EGPCs) have gained popularity for their remarkable damping characteristics, but they still face challenges of limited strength, stiffness, and stability. Incorporating steel reinforcement resolves these challenges and improves mechanical properties. However, hybrid epoxy granite machine tool structures with enhanced mechanical performance are susceptible to thermal errors, resulting in machining inaccuracies and limitations.
POLYMER COMPOSITES
(2023)
Article
Engineering, Electrical & Electronic
Yu-Cheng Chiu, Po-Hsun Wang, Yuh-Chung Hu
Summary: The authors propose a machine learning model to estimate thermal error of the spindle, utilizing random forests and Gaussian process regression. The combination of random forests and Pearson correlation coefficients is shown to be an efficient and accurate method for modeling thermal error.
Article
Engineering, Multidisciplinary
Xinyuan Wei, Xugang Feng, Enming Miao, Muyun Qian, Qiaosheng Pan
Summary: This paper proposes a sub-regional (SR) method to compensate for the thermal error of a worktable, which divides the worktable into different regions and establishes a compensation model for each region to improve the overall compensation effect. Theoretical analysis and experimental validation show that this method has high prediction accuracy and stability, and is suitable for practical application on the worktable.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Shota Onishi, Soichi Ibaraki, Masashi Yamaguchi, Takao Sugimoto
Summary: This paper proposes a novel self-calibration scheme to separate the workpiece geometry and machine tool kinematic errors from the probed profiles, and extends it to free-form 2D geometry. The linear axis error motions are represented in a closed set by assuming that the machine tool's positioning error is in accordance with the rigid-body kinematic model.
Article
Engineering, Electrical & Electronic
Swami Nath Maurya, Kun-Ying Li, Win-Jet Luo, Shih-Ying Kao
Summary: Machine tool accuracy is affected by thermal errors, especially the coolant temperature. Controlling the coolant temperature can significantly improve thermal deformation prediction accuracy.
Article
Automation & Control Systems
Po-Han Chen, Pei-Zen Chang, Yuh-Chung Hu, Tzuo-Liang Luo, Chun-Yu Tsai, Wei-Chang Li
Summary: This work compares prediction models under variations of cutting parameters and environmental temperatures and summarizes the strategy of manipulating the input data to attain a robust estimation of the thermal offset error. The SFS-LR model shows the lowest variance and the estimated error is significantly reduced after compensation using the zero-point shift function.
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)
