Article
Automation & Control Systems
Hongyu Wan, Silu Chen, Tianjiang Zheng, Dexin Jiang, Chi Zhang, Guilin Yang
Summary: This paper proposes a piecewise geometric error modeling and compensation method to reduce the influence from the backlash and other error sources in five-axis machine tools. The method is based on the measurement of distance variation in the tool end. By utilizing the local product of exponentials (POE) formula, kinematic errors are lumped into initial poses' deviations, and joint twists retain their nominal values. The effectiveness and superiority of the proposed method are demonstrated through simulation and experimental results.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
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
Shyh-Leh Chen, Sheng-Min Hsieh, Thanh-Quan Ta
Summary: This paper discusses the importance of both five-axis machine tools and industrial robots in modern manufacturing systems. The unique features of these systems, such as complicated kinematics and the need to minimize both contour error and orientation error, make their contouring control rarely studied. The authors apply the iterative learning contouring control (ILCC) algorithm to both the five-axis machine tool and industrial robot, achieving significant reduction in contour error and orientation error.
Article
Engineering, Mechanical
Chuxiong Hu, Jichuan Yu, Ze Wang, Yu Zhu
Summary: This paper proposes a novel method to improve the contouring control performance of five-axis motion systems by iteratively compensating for contouring error, and the effectiveness of the method is verified through experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
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
Computer Science, Software Engineering
Michal Bizzarri, Michael Barton
Summary: This study explores a new methodology for 5-axis flank CNC machining called double flank milling. By demonstrating the suitability of screw rotors for this approach and showcasing the effectiveness of an optimization-based method on several rotor benchmark examples.
COMPUTER-AIDED DESIGN
(2021)
Article
Engineering, Multidisciplinary
Song Yin, Haibo Zhou
Summary: This paper presents a programmable identification method for visually measuring and identifying position-independent and position-dependent geometric errors of rotary axes in compact five-axis platforms. The method establishes a kinematic model and utilizes an orientation error identification mechanism and the least-squares method to accurately identify the positional deviation of the axes.
Article
Computer Science, Interdisciplinary Applications
Qin Wu, Chun-Ming Yuan, Li-Yong Shen, Shi-Tao He, Xiao-Shan Gao
Summary: This paper proposes a time-spline curve fitting method that combines tool path fitting and feedrate scheduling for five-axis CNC machining. The method provides a time-optimal time-spline curve with high accuracy and kinematic constraints, fully utilizing the machine's kinematic capabilities.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Automation & Control Systems
Liang Cheng, Li Zhang, Jiangxiong Li, Yinglin Ke
Summary: This paper presents a method for measuring, identifying, and compensating the pose errors of a six-axis gantry automated fiber placement (AFP) machine. By calibrating the pressure roller coordinate system, designing a special pose measurement tool, and establishing ideal forward and inverse kinematic models, the pose errors of the AFP machine are greatly reduced. The method effectively improves the pose accuracy of the AFP machine.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Qicheng Ding, Wei Wang, Fengmin Lei, Chong Hu, Jiexiong Ding, Li Du, Liping Wang
Summary: This paper analyzes and extends the axis motion planning method based on multiple trigonometric functions, and selects feasible trigonometric parameter combinations for RTCP test planning. The effects of different trigonometric parameter collections on the dynamic control accuracy test capability are summarized, and valid trigonometric parameter combinations are selected. The analysis and summary in this paper are important for guiding motion planning for RTCP tests aimed at dynamic control accuracy.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Chemistry, Physical
Yuan-Ming Cheng
Summary: This study developed a reconfigurable precision five-axis machine tool (RPFMT) by integrating a horizontal parallel three-axis motion platform and a three-axis machine tool, and using a DELTA OPEN computer numerical control controller as the control system architecture. A human-machine interface and programmable controller were also incorporated to achieve automatic online measurement.
Article
Computer Science, Interdisciplinary Applications
Hong-Yu Ma, Chun-Ming Yuan, Li-Yong Shen, Xiao-Shan Gao
Summary: This study presents a novel and complete optimal feedrate planning method for a five-axis parametric tool path. It formulates the problem as an optimal control problem and uses an iteration control vector parametrization method to compute the optimal solution. The proposed method satisfies bang-bang optimal control and strict global constraints.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Automation & Control Systems
Zheng Sun, Liyong Niu, Bin Liu, Kedian Wang, Bo Li, Xuesong Mei
Summary: This paper presents a novel interpolation solution for 5-axis machining to avoid feedrate fluctuation, which effectively attenuates the feedrate fluctuation with more order of magnitude compared to the state-of-the-art.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
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
Automation & Control Systems
Ahlem Mechta, Mohamed Slamani, Moussa Zaoui, Rene Mayer, Jean-Francois Chatelain
Summary: This paper presents an experimental study on the correlation between intra-axis errors of prismatic axes for CNC machine tools and the validity and reliability of parametric models for the modeling of these errors. Results show a strong correlation between positioning errors and pitch and yaw errors. The study also suggests that the B-spline curve model performs slightly better than the Bezier curve model in terms of performance.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Mechanics
Xiaoye Yan, Johannes Reiner, Mattia Bacca, Yusuf Altintas, Reza Vaziri
COMPOSITE STRUCTURES
(2019)
Article
Engineering, Manufacturing
Qin Hu, Youping Chen, Xiaoliang Jin, Jixiang Yang
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2019)
Article
Engineering, Manufacturing
Oguzhan Tuysuz, Yusuf Altintas
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2019)
Article
Computer Science, Interdisciplinary Applications
Marcel Cordes, Wolfgang Hintze, Yusuf Altintas
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2019)
Article
Engineering, Industrial
M. Postel, D. Aslan, K. Wegener, Y. Altintas
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2019)
Article
Engineering, Industrial
Yusuf Altintas, Jixiang Yang, Z. Murat Kilic
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2019)
Article
Automation & Control Systems
Jian Gao, Yusuf Altintas
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2019)
Article
Engineering, Multidisciplinary
Jian Gao, Hakan Caliskan, Yusuf Altintas
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2019)
Article
Engineering, Manufacturing
Jian Gao, Yusuf Altintas
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2020)
Article
Engineering, Manufacturing
Jianhui Li, Z. Murat Kilic, Yusuf Altintas
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2020)
Article
Engineering, Manufacturing
Yusuf Altintas, Gabor Stepan, Erhan Budak, Tony Schmitz, Zekai Murat Kilic
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2020)
Article
Engineering, Manufacturing
M. Habibi, Z. M. Kilic, Y. Altintas
Summary: This paper introduces a pure geometrical approach to reduce surface errors in multi-axis machining, by minimizing the engagement lengths of flutes' cutting edges. The method optimizes tool orientations based on tilt and lead angles, without the need for experimental data calibration, leading to over 90% surface error reduction in experiments.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Manufacturing
Hoai Nam Huynh, Yusuf Altintas
Summary: This article presents a systematic modeling approach for multibody dynamics of five-axis machine tools, dividing the machine into major subassemblies and calculating the inertias and mass center of each subassembly before connecting them with springs and damping elements. The unknown elastic joint parameters are estimated from experimental modal analysis, resulting in a position-dependent multibody dynamic model with minimal degrees-of-freedom. The model can predict the machine's rigid body motion and vibrations efficiently, making it suitable for simulating dynamic performance in machining operations and servo drive control tests as a digital twin.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Industrial
H. N. Huynh, Y. Altintas
Summary: A computationally efficient, reduced-order multibody dynamic model of a five-axis machine tool is proposed. The machine tool is modeled with substructures assembled using flexible springs and damping elements at interfaces that affect machining performance. The linear acceleration-based motion trajectory filters process the NC tool path commands and transmit them to the axis servo controllers through an inverse kinematic model. The computed motor torque commands are applied to the structural dynamic model of the machine at the motor connections. The experimentally validated model predicts the performance of the five-axis CNC machine's controller along the tool path.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
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)
