Article
Engineering, Mechanical
Jun Liu, Hutian Feng, Changguang Zhou
Summary: The study focused on the loading performance and the influence of load distribution on a preloaded double-nut ball screw, verifying the experimental model and simulating the effects of geometric errors. The results suggest that system stability can be maintained by selecting the appropriate preload force.
MECHANISM AND MACHINE THEORY
(2022)
Article
Engineering, Mechanical
Xiao-Yi Wang, Hu-Tian Feng, Chang-Guang Zhou, Zeng-Tao Chen, Jing-Lun Xie
Summary: This paper presents a new degradation model for predicting the preload variation of LMBG, taking into account machining errors. Experimental results show that the model considering machining errors has higher prediction accuracy compared to the model without considering machining errors. Furthermore, the effects of waviness errors, external load, and feed speed on preload degradation were discussed.
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
(2022)
Article
Acoustics
Chang-Guang Zhou, Yi-Cheng Gu, Cong-Hui Nie, Yi Ou, Hu-Tian Feng
Summary: This study proposes a novel approach using vibration signals and ensemble empirical mode decomposition (EEMD) combined with linear discriminant analysis (LDA) and a support vector machine (SVM) to detect the preload of ball screws. Through degradation experiments, vibration signals under different preloads are obtained and decomposed and reconstructed using EEMD. Statistical features are extracted from the reconstructed signals and dimensionality is reduced using LDA. The preload can then be identified by SVM with an identification accuracy higher than 90%. Further analysis shows that high-frequency signals have a stronger correlation with preload degradation and the proposed method is more effective, especially for preload degradation beyond 300N.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Engineering, Mechanical
Cunfan Zou, Huijie Zhang, Jun Zhang, Dongdong Song, Hui Liu, Wanhua Zhao
Summary: The vertical ball screw feed system exhibits significantly different dynamic characteristics under acceleration and deceleration, with the system position and rated dynamic load having a greater impact on the natural frequency than the screw tension force.
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2021)
Article
Engineering, Mechanical
Jiajia Zhao, Mingxing Lin, Xianchun Song, Nan Wei
Summary: This paper proposes a new method to characterize the rough spherical morphology of raceways for ball screws based on fractal theory, identifying the fractal parameters of the screw and nut raceways and establishing a fractal contact model of the raceway surface. Discussions include the contact coefficient of the inner and outer raceways, the influence of raceway fractal parameters on wear rate, and coupling research on precision loss and preload degradation for the ball screw.
Article
Engineering, Mechanical
Bin Fang, Ke Yan, Jun Hong, Jinhua Zhang
Summary: This paper presents the details of the composition form and classification method of the elements in bearing stiffness matrix, and reveals the effects of the off-diagonal stiffness items on the rotor dynamic characteristics. The results show that, additional loads from ball bearings are generated due to the off-diagonal stiffness elements in bearing stiffness matrix when the rotor system is subjected to a radial load or moment load.
MECHANISM AND MACHINE THEORY
(2021)
Article
Engineering, Mechanical
H. P. Li, Y. Sun, L. F. He, Z. C. Li
Summary: Some failure modes, such as wear, quenching and finishing cracks, can occur on the surface of the ball screw during progressive induction hardening, which can decrease its fatigue life. Experimental tests and observations on a 55CrMo steel ball screw after induction hardening are conducted to analyze the hardened layer, microstructure, tensile strength, and cracks. The effect of heating temperature on austenitization, microstructure, tensile strength, grain size, and stress state of the ball screw is discussed based on experimental and numerical simulation results.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Engineering, Mechanical
Chang-Guang Zhou, Shi-Hao Ren, Hu-Tian Feng, Jun-Wan Shen, Yi-Shen Zhang, Zeng-Tao Chen
Summary: A preload degradation model for LRG was proposed and experimentally verified, showing that factors such as external load, running speed, and fractal parameters affect the rate of preload loss. The numerical simulation results indicated the varying degrees of influence these factors have on the rate of preload loss in linear rolling guides.
Article
Construction & Building Technology
Md Abdul Hamid Mirdad, Arman Jucutan, Rafid Khan, Jan Niederwestberg, Ying Hei Chui
Summary: This paper discusses the use of self-tapping screws in modern multi-storey mass timber structures and the importance of fastener properties in connection performance. The paper presents empirical equations to predict the stiffness of self-tapping screws, reducing the need for connection tests.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Review
Engineering, Manufacturing
Berend Denkena, Benjamin Bergmann, Alexander Schmidt
Summary: This study investigates the capability of sensor fusion based on principal component analysis to monitor preload loss of single nut ball screws, by studying features of different preload levels of the ball screw through selecting different ball diameters. The results show that this method can reliably detect preload levels.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Wei-Cheng Shih, Furqan Furqanuddin, Po-Lin Lee, Jui-Pin Hung
Summary: The study proposes an ANN predictive model to identify linear guide preload based on vibration features, investigating the relationship between contact stiffness and preload levels of the linear guide. Different preloads were tested on the stage to assess vibrations, with predictive models showing 96.5% accuracy in training datasets and an average prediction error of approximately 8.54-11.23% in verification datasets. The results support the feasibility of online preload identification for feeding system condition monitoring.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Mechanical
Pradeep Kundu, Marcella Miller, Prayag Gore, Xiaodong Jia, Jay Lee
Summary: This study applies the variational mode decomposition (VMD) technique to analyze time-varying sensor signals in a narrow bandwidth for timely detection of anomalies in a ball screw drive. By excluding signals from other sources and considering the dynamics due to worktable position, preload loss can be detected with better accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Review
Engineering, Manufacturing
Changyou Li, Mengtao Xu, Wenjun Song, Hongzhuang Zhang
Summary: This paper reviews the current progress in the nonlinear analytical model of rolling kinematic joints, including ball screw feed drives, recirculating linear guideways, and ball screws. Advanced investigations on the nonlinear dynamic stiffness and vibration response associated with ball screw feed drives are covered. The stiffness and load distribution models for linear guideways and ball screws can be divided into two categories: with and without consideration of the component structural deformations. The time-dependent modeling principle highlighting the recirculation motion of rolling elements is summarized, and friction and wear behavior are briefly discussed. The paper ends with the current research advancement and scarcity and recommends promising modeling tendencies.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2023)
Article
Engineering, Mechanical
Dinh Sy Truong, Byung-Sub Kim, Seung-Kook Ro
Summary: This paper discusses the thermal effects on bearing stiffness and natural frequencies of a high-speed spindle system. Experimental and numerical analysis showed that the third natural frequencies decreased with increasing temperature. The simulated results were in good agreement with the experimentation.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Mechanical
Chang Liu, Chunyu Zhao, Bangchun Wen
Summary: The dynamics of the ball screw feed system is crucial in high-precision machining of CNC machine tools. However, existing literature lacks studies on the dynamic behaviors of the coupled feed system and fails to consider the influence of guide rail assembly error. This paper presents a fourteen degree-of-freedom dynamic model of the feed system, which takes into account the nonlinear restoring force functions of the screw nut, linear guide, ball bearings, and the screw shaft's stiffness. An algorithm combining the Newmark Method and Monte Carlo simulation is proposed to numerically solve for the vibration responses of the feed system, and the proposed dynamic model is experimentally verified. The study discusses the effects of excitation amplitude, system parameters, and assembly error on the dynamic characteristics of the feed system, demonstrating the interdependence of vibration responses for the fourteen degrees of freedom and the impact of assembly error on the nonlinear dynamic characteristics of the feed system.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
