Article
Engineering, Manufacturing
Shuang Ding, Xiao Zhang, Zhiwei Chen, Weiwei Wu
Summary: This paper proposes a simplified algorithm to derive analytical expressions for the position-independent geometric error compensation of a non-orthogonal five-axis machine tool (NOFAMT). The effectiveness and efficiency of the algorithm were verified through numerical analysis and virtual machining.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Engineering, Manufacturing
Shijie Guo, Shufeng Tang, Gedong Jiang, Xuesong Mei
Summary: This paper proposes a calibration method for identifying the position-dependent geometric errors (PDGEs) of the rotary axes of five-axis machine tools using a double ball bar (DBB), which minimizes the number of required installations and improves measurement efficiency. PDGEs identification based on the adaptive LASSO method reduces identification errors and improves accuracy indexes.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Automation & Control Systems
Seung-Han Yang, Kwang-Il Lee
Summary: A prototype machine tool analyzer (MTA) was introduced, which consisted of five displacement sensors and a dual-ball system designed to identify 13 position-independent geometric errors in five-axis machine tools. The MTA completed four circular paths to identify these errors and was successfully applied to a commercial five-axis machine tool for experimental verification.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Vladimir M. Kvrgic, Aleksandar Ribic, Zoran Dimic, Sasa T. Zivanovic, Zorica A. Dodevska
Summary: This study presents a method for indirectly identifying the geometric errors in the rotary axis of a machine tool and demonstrates that these errors also represent other geometric errors of the axis. It also proposes a new algorithm for calculating the equivalent geometric errors of the rotary B-axis and rotary C-axis, as well as a new analytical solution for the inverse kinematics of a nonorthogonal five-axis machine tool. The accuracy and efficiency of the proposed algorithms are verified through simulation system testing and cutting tests.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Hao Wang, Xiaogeng Jiang
Summary: This paper presents a novel synchronous motion trajectory based on the unit dual quaternion (UDQ) to identify the position-independent geometric errors (PIGEs) of the dual rotary axes of a hybrid five-axis machine tool using a Double ball-bar (DBB). The kinematic model is effectively simplified by redefining the PIGEs of linear/rotary axes, and a compensation strategy of major orientation errors based on the UDQ is proposed and verified through simulation and compensation experiments.
Article
Automation & Control Systems
Seung-Han Yang, Kwang-Il Lee
Summary: This paper proposes a method for identifying 11 position-independent geometric errors of five-axis machine tools with a tilting/rotary table using single-ball measurements and 3D geometric sensitivity analysis. Experimental verification confirms the validity of the proposed method for accurate error identification.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
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
Automation & Control Systems
Kai Xu, Guolong Li, Zheyu Li, Xin Dong, Changjiu Xia
Summary: This paper proposed a general PDGE identification method with single-axis driven, and validated its effectiveness through comprehensive length change model of the double-ball bar and analysis of installation errors. By determining 10 measurement patterns based on structure limitation, the method was further proven to be successful.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Manufacturing
Qidi Chen, Wei Li, Chao Jiang, Zhixiong Zhou, Sangkee Min
Summary: The paper proposed an empirical mode detection method to directly identify and compensate the geometric errors of the rotary axis of a five-axis ultra-precision machine tool. This method successfully addresses the problem of mutual influence between mixed errors that cannot be avoided by conventional methods.
JOURNAL OF MANUFACTURING PROCESSES
(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
Engineering, Manufacturing
Sareh M. Esmaeili, J. R. R. Mayer, Mark P. Sanders, J. Philipp Dahlem, Kanglin Xing
Summary: The paper discusses the generation of LUTs entries for a five-axis CNC machine using polynomial functions and predicts necessary volumetric errors within the working volume. The proposed scheme is tested on a small Mitsubishi M730 CNC machine, showing a significant reduction in errors through table-based compensation. Despite being effective in correcting some geometric errors, the generated LUTs are unable to compensate for certain axis misalignments.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Automation & Control Systems
Shijie Guo, Shufeng Tang, Jianxin Wu, Guan Qiao
Summary: This study proposes a novel method for measuring and identifying geometric errors in horizontal boring machine tools using a double ballbar. The method accurately determines the error terms of linear and rotary axes, and reduces uncertainty by combining the measure coordinate system with the reference coordinate system. The method has the advantage of measurement without interfering with machine tool operation and being unaffected by reference-frame misalignment or installation errors of the measuring instrument.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Seth Osei, Wei Wang, Qicheng Ding
Summary: This study proposes a new method to identify the eight position-independent geometric errors (PIGEs) in the rotary axes of a five-axis machine tool. The use of double ball bar (DBB) installation setups introduces additional setup errors and uncertainties during error measurements. The experimental results show that this method accurately identifies PIGEs, effectively improves the accuracy of the five-axis machine tool, and has advantages over existing methods in terms of simplicity, making it a valuable contribution to the manufacturing industry.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Multidisciplinary
Sihan Yao, Haozhen Huang, Wenjie Tian, Weiguo Gao, Lingtao Weng, Dawei Zhang
Summary: A novel method is proposed in this paper to simultaneously identify the position-dependent geometric errors (PDGEs) and position-independent geometric errors (PIGEs) of dual rotary axes. The identification model is established based on the geometric error model and the actual distances between the two retroreflectors, enabling the simultaneous acquisition of all geometric errors. The identification results are validated by predicting volumetric errors, with deviations within 21.7 μm in three directions and a root mean square error of 6.8 μm, indicating the effectiveness of the proposed method in simultaneous identification of geometric errors. This method facilitates further study on the coupling effect of PDGEs and PIGEs.
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.