Article
Computer Science, Artificial Intelligence
Guo Zhou, Kai Zhou, Jing Zhang, Meng Yuan, Xiaohao Wang, Pingfa Feng, Min Zhang, Feng Feng
Summary: This study proposes a digital twin model, consisting of two sub-models for cutting parameter optimization and chatter detection, to effectively suppress vibrations in thin-walled part milling. The digital twin model combines a real-time SLD and fusion analysis of multiple sensor signals to output optimized cutting parameters and avoid chatter. It also includes a monitoring window for visualizing the milling scenario and a database for recording manufacturing data.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Industrial
Jun Deng, Fuji Wang, Rao Fu, Yongquan Lin, Qingsong He, Xing Ma
Summary: This paper studied the stability of milling thin-walled curved carbon fiber reinforced plastic (CFRP) components and proposed an improved model for predicting the time-varying dynamics during milling. By considering the anisotropic properties and time-varying dynamics, a stability lobe diagram was obtained to accurately avoid chatter and improve machining efficiency.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Weitao Li, Liping Wang, Guang Yu, Ding Wang
Summary: A novel thin-walled parts time-varying dynamics updating method based on a degree of freedom reduction model is proposed for milling chatter prediction. The method efficiently updates the dynamics of thin-walled parts and integrates into a milling dynamic model for chatter analysis, providing accurate predictions through a series of milling experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Automation & Control Systems
Yun Zhang, Tingting Zhou, Tianliang Hu, Jinwei Qiao
Summary: This paper studies the influence of milling parameters on the stability of six-degree-of-freedom robot milling considering the mode coupling effect and the regenerative effect. A mode equation considering both effects is developed and a chatter stability domain model of the six-degree-of-freedom robot is established. The influences of spindle speed, axial depth of cut, radial depth of cut, and feed rate on the stability of the machining system are analyzed. Milling experiments are conducted to verify the accuracy of the prediction results of the chatter stability domain model.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Maojun Li, Dingxiao Huang, Xujing Yang
Summary: In high-speed robotic milling process, acoustic emission technique combined with root mean square value and fast Fourier transform method were used to analyze chatter phenomenon. A stability lobe diagram was proposed for predicting chatter occurrence, along with the establishment of underlying mechanism and theoretical analysis of chatter stability.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Lianjun Sun, Kan Zheng, Wenhe Liao
Summary: This study focuses on using rotary ultrasonic milling technology to address the vibration and difficult-to-machine issues in processing titanium alloy thin-walled workpieces. By proposing a novel stability analysis method and creating stability lobe diagrams using the semi-discrete method, the milling stability of titanium alloy webs is effectively improved.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Jiajie Guo, Kok-Meng Lee, Man Yu, Haifeng Ma, Zhenhua Xiong
Summary: The article introduces a distributed parameter method to model the coupled workpiece-cutting tool dynamics and study cutting stability. By relaxing a common assumption, the method allows for predicting spatially distributed vibrations and their effects on machining stability.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Jiri Falta, Matej Sulitka, Pavel Zeman
Summary: This paper presents a computationally convenient analytical formulation of the stability of the cutting process with respect to self-excited vibrations in five-axis milling, addressing the difficulty in calculating stable machining conditions and introducing a new formulation for the cutting force Jacobian.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Automation & Control Systems
Jiajie Guo, Kok-Meng Lee, Man Yu, Haifeng Ma, Zhenhua Xiong
Summary: This article presents a distributed parameter method to model the coupled workpiece-cutting tool dynamics and investigate the regenerative effects of both depth and width of cut on turning stability.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Chenxi Wang, Xingwu Zhang, Xuefeng Chen
Summary: Chatter has a detrimental effect on high-performance milling, and traditional studies focused on suppressing invariant chatter frequencies. To address the time-varying need, this research introduces real-time FFT identification and a modified NFXLMS algorithm to effectively suppress the time-varying chatter frequencies in thin-walled workpiece milling. Simulation and offline simulation based on practical experimental data show the effectiveness of the developed algorithms.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Dongqian Wang, Lars Penter, Albrecht Hanel, Steffen Ihlenfeldt, Marian Wiercigroch
Summary: In this study, a rapid method combining experimental measurements with the receptance coupling method was proposed to obtain time-varying modal parameters of the workpiece. The stability lobe diagrams (SLDs) calculated using the modal parameters were validated through immersion milling experiments. Additionally, two modifications, including additional cylinder masses and passive support, were explored to suppress chatter, with the modification of passive support producing better results.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Manufacturing
Liping Wang, Weitao Li, Guang Yu
Summary: This paper studies the construction mechanism of the stability lobe diagram (SLD) with multiple modes, revealing the relationship between the SLDs with multiple modes and the SLDs corresponding to each single mode. A time domain method is used to approximate the SLD with multiple modes by using the lowest envelope of the SLDs corresponding to each single mode. Two study cases are adopted to verify the construction mechanism, and the experimental results agree with the simulation results.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Manufacturing
Junjin Ma, Yunfei Li, Dinghua Zhang, Bo Zhao, Geng Wang, Xiaoyan Pang
Summary: This study investigates the machining vibration of thin-walled workpieces in the aerospace industry, proposing a new method to improve machining accuracy effectively. The feasibility and effectiveness of the proposed approach are validated through experiments, showing an improved prediction accuracy of vibration displacement by considering the effects of magnetorheological damping support and fixture constraints on the thin-walled workpiece.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Multidisciplinary
M. Mahboubkhah, M. R. Movahhedy, A. Jodeiri Feizi
Summary: This paper investigates the chatter instability problem during the milling process of thin-walled components and proposes a practical solution. By studying the effects of geometrical parameters, three-dimensional Stability Lobe Diagrams (SLDs) are established, which can be used to achieve stability by changing the values of system parameters.
Article
Engineering, Manufacturing
Zhao Zhang, Ming Luo, Baohai Wu, Dinghua Zhang
Summary: This article investigates the stability of thin-walled workpieces in the milling process, predicting chatter frequencies and identifying major structural modes. By developing a complete dynamic model and conducting milling tests, the proposed method was validated, providing insights into the effects of milling tools and structural modes on stability.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)