Query：
学者姓名：高相胜
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-Author
Language
Clean All
Abstract ：
The surface texture technology has been applied to ball screws. However, the rough grinding surface of ball screws is not considered, and the elastohydrodynamic lubrication (EHL) characteristics and anti-friction and anti-wear mechanisms are not comprehensive and in-depth. Theoretical simulation and experimental measurement of the ground surface topography of the screw raceways are conducted to take into account the impact of the grinding surface on the EHL interaction between the ball and the raceway. The EHL model and friction torque model of ball screws have been established simultaneously, considering the ground surface topography of the raceway and the geometric features of the textures manufactured on the raceway surface. The friction reduction mechanism of the textured raceway of ball screws is elucidated in detail from the microscopic point of view, and the influence of the geometric features of the textures on the anti-friction characteristics of ball screws under different axial loads and rotation speeds is further analyzed and discussed. The proof-of-principle experiments of the friction-reducing performances of the textured raceways of the ball screws are conducted. The textured raceway of the ball screws provides an effective anti-friction effect that reduces the friction coefficient of the contact system of the ball screws by 15.2% at a normal contact force of 60.23 N, an entrainment speed of 167.5 m/s, a texture diameter of 40 mu m, a texture depth of 10 mu m and a texture areal density of 10%.
Keyword ：
the ball screws the ball screws EHL EHL surface texture surface texture friction reduction friction reduction surface topography surface topography
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Yunfei , Wang, Min , Gao, Xiangsheng et al. Study on the Lubrication and Anti-Friction Characteristics of the Textured Raceway of the Ball Screws Based on Elastohydrodynamic Lubrication [J]. | APPLIED SCIENCES-BASEL , 2025 , 15 (6) . |
| MLA | Zhang, Yunfei et al. "Study on the Lubrication and Anti-Friction Characteristics of the Textured Raceway of the Ball Screws Based on Elastohydrodynamic Lubrication" . | APPLIED SCIENCES-BASEL 15 . 6 (2025) . |
| APA | Zhang, Yunfei , Wang, Min , Gao, Xiangsheng , Gao, Peng , Yang, Xuefei , Cui, Xiwen . Study on the Lubrication and Anti-Friction Characteristics of the Textured Raceway of the Ball Screws Based on Elastohydrodynamic Lubrication . | APPLIED SCIENCES-BASEL , 2025 , 15 (6) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Thermal error is a critical factor influencing the machining accuracy of CNC machine tools, so it is essential to comprehensively model and compensate for thermal errors in CNC machine tools. This paper proposes a deep attentional residual network thermal error prediction model driven by thermal image inputs. In contrast to traditional models that solely rely on temperature data, the proposed model utilizes thermal image data as a key input parameter and incorporates temperature data from sensitive points to fully represent the machine's temperature distribution. Furthermore, the attention mechanism is used to optimize the hyperparameters and network structure of the residual network model. Transfer learning is employed to improve training efficiency, reduce data requirements, and enhance the model's transferability. The optimized model achieves a prediction accuracy of 99.5% and converges more quickly. Finally, thermal error compensation experiments are conducted on the platform of the Siemens 840D system with an average effect of more than 70%. The proposed thermal error compensation method is effective and provides a foundation for precision machining.
Keyword ：
Attention mechanism Attention mechanism Deep residual network Deep residual network Thermal error prediction Thermal error prediction Thermal image Thermal image Transfer learning Transfer learning
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Cui, Chang , Zan, Tao , Ma, Shengkai et al. Thermal image-driven thermal error modeling and compensation in CNC machine tools based on deep attentional residual network [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2024 , 134 (7-8) : 3153-3169 . |
| MLA | Cui, Chang et al. "Thermal image-driven thermal error modeling and compensation in CNC machine tools based on deep attentional residual network" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 134 . 7-8 (2024) : 3153-3169 . |
| APA | Cui, Chang , Zan, Tao , Ma, Shengkai , Sun, Tiewei , Lu, Wenlong , Gao, Xiangsheng . Thermal image-driven thermal error modeling and compensation in CNC machine tools based on deep attentional residual network . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2024 , 134 (7-8) , 3153-3169 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The ball screw is a vital component in the feed drive systems of machine tools. It is susceptible to thermal errors that significantly impact its accuracy. Current thermal error modeling methods for ball screws face significant challenges in achieving full-time series prediction. Furthermore, these methods impose stringent requirements for a complex temperature data collection process, further constrained by the compact structure of machine tools. Additionally, valuable working condition data in thermal error prediction remains underutilized. This paper proposes a new hybrid-driven model that combines mechanism and data-driven approaches to achieve full-time series thermal error prediction of ball screws. The proposed model utilizes the operating rotational speed as a key input parameter, eliminating the need for temperature collection during the modeling stage and the compensation process. The temperature model is proposed as a mechanism-driven model based on heat transfer theory to calculate the temperature of the thermal sensitive points by utilizing operating rotational speed. The accuracy of the model is validated through thermal characteristic experiments of ball screws under four different working conditions. The data-driven models based on different traditional neural networks are established to predict thermal errors according to the time series temperature data from the temperature model. Moreover, hyperparameters of different neural networks are optimized by the Beetle Antennae Search (BAS). Comparative analysis among different neural network-based hybrid-driven models reveals that the convolutional neural network (CNN) model optimized by BAS consistently exhibits lower absolute errors predominantly below 10 mu m, as well as lower root mean squared error (RMSE) and mean absolute error (MAE) values in each working condition. The BAS-CNN model, within the hybrid-driven model framework, is better suited for the full-time series prediction of thermal errors in ball screws. The BAS-CNN model is a foundation for thermal error compensation by utilizing working condition data.
Keyword ：
Hybrid-driven model Hybrid-driven model Ball screws Ball screws Neural network Neural network Thermal error prediction Thermal error prediction
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Min , Lu, Wenlong , Zhang, Kuan et al. Thermal error prediction of ball screws in full-time series using working condition data based on a mechanism and data hybrid-driven model [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2024 , 133 (3-4) : 1443-1462 . |
| MLA | Wang, Min et al. "Thermal error prediction of ball screws in full-time series using working condition data based on a mechanism and data hybrid-driven model" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 133 . 3-4 (2024) : 1443-1462 . |
| APA | Wang, Min , Lu, Wenlong , Zhang, Kuan , Zhu, Xiaofeng , Wang, Mengqi , Yang, Bo et al. Thermal error prediction of ball screws in full-time series using working condition data based on a mechanism and data hybrid-driven model . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2024 , 133 (3-4) , 1443-1462 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The ball screw is an essential component in feed drive systems whose accuracy is seriously affected by machine tool internal and external heat sources. In this paper, a thermal error compensation method for ball screws is proposed based on the extreme gradient boosting (XGBoost) algorithm and thermal expansion principle. An XGBoost predictive model is established using the time series temperature data collected from thermal characteristics experiments. Furthermore, the predictive performance between the XGBoost algorithm and BP neural network is compared to validate the effectiveness and robustness of the proposed model. The results show that the XGBoost model has better predictive performance. Based on this, the temperature of key points on the ball screw can be obtained, and thermal error (which is useful for pulse compensation) is predicted. Simultaneously, thermal error compensation experiments are carried out on the ball screw bench with average results of more than 45%. The presented thermal error compensation method proved effective and can provide a foundation for precision machining.
Keyword ：
Ball screws Ball screws XGBoost XGBoost thermal errors thermal errors compensation compensation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Zhang, Kuan , Zhang, Zitao et al. XGBoost-based thermal error prediction and compensation of ball screws [J]. | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE , 2023 , 238 (1-2) : 151-163 . |
| MLA | Gao, Xiangsheng et al. "XGBoost-based thermal error prediction and compensation of ball screws" . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 238 . 1-2 (2023) : 151-163 . |
| APA | Gao, Xiangsheng , Zhang, Kuan , Zhang, Zitao , Wang, Min , Zan, Tao , Gao, Peng . XGBoost-based thermal error prediction and compensation of ball screws . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE , 2023 , 238 (1-2) , 151-163 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
To reduce the thermal deformation of ball screws, the process of nano coating preparation for coating on ball screws to reduce temperature rise and thereby thermal deformation was discussed in this article. Simultaneously, the cooling mechanism was presented. The thermal channels and the relatively even distribution of graphene in the nano coating were observed in scanning electron microscopic images. In terms of the preparation of nano coating, optimization design was carried out to obtain the optimized material ratio and nozzle flow through orthogonal experiment. The influence of design parameters of nano coating on reducing thermal deformation was also discussed. The experimental results show that the maximum temperature rise, thermal deformation, and time to reach thermal balance decreased by 12.5, 69.1, and 46.3%, respectively. The effectiveness of nano coating in reducing thermal deformation was validated experimentally.
Keyword ：
graphene graphene thermal deformation thermal deformation ball screw ball screw nano coating nano coating
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Zhang, Kuan , Wang, Min et al. Optimization of nano coating to reduce the thermal deformation of ball screws [J]. | NANOTECHNOLOGY REVIEWS , 2022 , 11 (1) : 438-451 . |
| MLA | Gao, Xiangsheng et al. "Optimization of nano coating to reduce the thermal deformation of ball screws" . | NANOTECHNOLOGY REVIEWS 11 . 1 (2022) : 438-451 . |
| APA | Gao, Xiangsheng , Zhang, Kuan , Wang, Min , Zan, Tao , Gao, Peng , Liu, Chaozong . Optimization of nano coating to reduce the thermal deformation of ball screws . | NANOTECHNOLOGY REVIEWS , 2022 , 11 (1) , 438-451 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Ball screw feed systems serve as the feed components of machine tools, and its dynamic characteristics directly affect the machining quality of workpieces and reliability of ball screws. In this paper, the lateral equivalent dynamic model of ball screw feed systems is established considering the bending vibration of the ball screw, nut location, and joints based on the Euler-Bernoulli beam theory. Subsequently, the dynamic parameters of joints are identified according to the measured dynamic stiffness using the particle swarm optimization (PSO) algorithm with the determined initial range of stiffness and damping. The robustness of the dynamic model is verified by experiments conducted at different nut locations. In addition, the nonlinear dynamic model is established and the effects of cutting force, bearing clearance, and nut motion on dynamic characteristics are investigated. The numerical results indicate that bearing clearance mainly affects the equilibrium position of worktable vibration, while the cutting force at different rotational and moving speeds of the nut mainly affects the vibration mode of the worktable, but the vibration mode is always a quasi-periodic motion. The established dynamic model and numerical analysis results provide a useful understanding of the dynamic characteristics of ball screw feed systems.
Keyword ：
Parameter identification Parameter identification Particle swarm optimization Particle swarm optimization Nut location Nut location Dynamic characteristics Dynamic characteristics Ball screw Ball screw
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Zhang, Xianrang , Yang, Jingshuo et al. Dynamic modeling and analysis on lateral vibration of ball screw feed system [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (11-12) : 4211-4229 . |
| MLA | Gao, Xiangsheng et al. "Dynamic modeling and analysis on lateral vibration of ball screw feed system" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 124 . 11-12 (2022) : 4211-4229 . |
| APA | Gao, Xiangsheng , Zhang, Xianrang , Yang, Jingshuo , Fu, Zhongtao , Wang, Min , Zan, Tao . Dynamic modeling and analysis on lateral vibration of ball screw feed system . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2022 , 124 (11-12) , 4211-4229 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The ball screw feed system (BSFS) is an important component of numerical control machine tools. The dynamic characteristics of BSFSs directly affect the machining precision and efficiency of machine tools. Due to the external excitation, the feed system can generate large vibrations, which can further decrease the precision of machine tools. This paper designs multiple tuned mass dampers (MTMDs) for the BSFS to reduce the vibration and proposes a dynamical model of a BSFS with MTMDs. The optimization objective is to minimize the maximum amplitudes of the lateral direction direct frequency-response function of the work table at different nut locations. The particle swarm optimization algorithm is used to optimize the stiffness and damping parameters to reach the optimal vibration reduction effect. Furthermore, the MTMDs are adjusted quantitatively to match the optimized dynamic parameters of dampers. By comparing the experimental modal results with and without the damper and the vibration signals during the reciprocating cycle operation, the effect of the damper on controlling system vibrations is verified. The results indicate that the proposed lateral vibration control method for the BSFS can effectively reduce the lateral vibration of the work table in the whole stroke.
Keyword ：
Tuned mass damper Tuned mass damper Nut location Nut location Quantitative adjustment Quantitative adjustment Ball screw Ball screw Vibration control Vibration control
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Zhang, Xianrang , Yang, Jingshuo et al. Lateral vibration control of ball screw feed system considering the nut location [J]. | JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING , 2022 , 44 (6) . |
| MLA | Gao, Xiangsheng et al. "Lateral vibration control of ball screw feed system considering the nut location" . | JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING 44 . 6 (2022) . |
| APA | Gao, Xiangsheng , Zhang, Xianrang , Yang, Jingshuo , Wang, Min , Zan, Tao , Gao, Peng . Lateral vibration control of ball screw feed system considering the nut location . | JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING , 2022 , 44 (6) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Ball screws are the indispensable machine tool components and, as such, influence the positional accuracy of machine tools. The accuracy stability of machine tools is affected by thermal deformation of ball screws resulting from the increase in temperature. Inspired by the distinctive artificial muscle heat behavior, a bio-inspired ball screw was proposed. The proposed ball screw was based on the inner-embedded carbon fiber-reinforced plastic (CFRP), which restrains the axial expansion through the thermal contraction of CFRP. Additionally, a thermal conductor was mounted between the screw shaft and CFRP to improve the thermal conduction condition. Furthermore, both the simulation analysis and comparative experiments were carried out to compare the bio-inspired ball screw with the standard one. Two working conditions were considered to evaluate the effectiveness of the novel design, primarily in terms of reducing thermal deformation. Both results show that the proposed approach is effective and can be applied to reduce the thermal deformation of ball screws.
Keyword ：
CFRP CFRP ball screw ball screw thermal deformation thermal deformation contraction contraction artificial muscles artificial muscles
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Zhang, Kuan , Wang, Min et al. Thermally stimulated artificial muscles: Bio-inspired approach to reduce thermal deformation of ball screws based on inner-embedded CFRP [J]. | REVIEWS ON ADVANCED MATERIALS SCIENCE , 2021 , 60 (1) : 541-552 . |
| MLA | Gao, Xiangsheng et al. "Thermally stimulated artificial muscles: Bio-inspired approach to reduce thermal deformation of ball screws based on inner-embedded CFRP" . | REVIEWS ON ADVANCED MATERIALS SCIENCE 60 . 1 (2021) : 541-552 . |
| APA | Gao, Xiangsheng , Zhang, Kuan , Wang, Min , Zan, Tao , Luo, Jiajun . Thermally stimulated artificial muscles: Bio-inspired approach to reduce thermal deformation of ball screws based on inner-embedded CFRP . | REVIEWS ON ADVANCED MATERIALS SCIENCE , 2021 , 60 (1) , 541-552 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Thermal error of ball screws seriously affects the machining precision of computerized numerical control (CNC) machine tools especially in high speed and precision machining. Compensation technology is one of the most effective methods to address the thermal issue, and the effect of compensation depends on the accuracy and robustness of the thermal error model. Traditional modeling approaches have major challenges in time series thermal error prediction. In this paper, a novel thermal error model based on long short-term memory (LSTM) neural network and particle swarm optimization (PSO) algorithm is proposed. A data-driven model based on LSTM neural network is established according to the time series collected data. The hyperparameters of LSTM neural network are optimized by PSO, and then a PSO-LSTM model is established to precisely predict the thermal error of ball screws. In order to verify the effectiveness and robustness of the proposed model, two thermal characteristic experiments based on step and random speed are conducted on a self-designed test bench. The results show that the PSO-LSTM model has higher accuracy compared with the radial basis function (RBF) model and back propagation (BP) model with high robustness. The proposed method can be implemented to predict the thermal error of ball screws and provide a foundation for thermal error compensation.
Keyword ：
Thermal error Thermal error PSO-LSTM PSO-LSTM Data-driven Data-driven Modeling Modeling Ball screw Ball screw
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, Xiangsheng , Guo, Yueyang , Hanson, Dzonu Ambrose et al. Thermal error prediction of ball screws based on PSO-LSTM [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 116 (5-6) : 1721-1735 . |
| MLA | Gao, Xiangsheng et al. "Thermal error prediction of ball screws based on PSO-LSTM" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 116 . 5-6 (2021) : 1721-1735 . |
| APA | Gao, Xiangsheng , Guo, Yueyang , Hanson, Dzonu Ambrose , Liu, Zhihao , Wang, Min , Zan, Tao . Thermal error prediction of ball screws based on PSO-LSTM . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 116 (5-6) , 1721-1735 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
To reduce the thermal deformation of ball screws, a novel approach inspired by silver ants is proposed. The Saharan silver ant maintains low body temperatures in one of the hottest terrestrial environments by radiating heat to the surrounding environment. Inspired by this, bio-inspired graphene-coated ball screws, which can enhance heat dissipation due to radiative heat dissipation of graphene coating, are designed to reduce the temperature and thermal deformation further. Finite element analysis is conducted to validate the excellent performance of the proposed bionic design in reducing thermal deformation. In order to verify the advantage of this method, comparative experiments between graphene-coated ball screws and the ordinary one are carried out on a self-designed test bed as well. The result shows that the bio-inspired design obviously reduced the temperature rise, thermal deformation, and temperature balance time. This bio-inspired approach will provide a new idea to solve the thermal issue of machine tools.
Keyword ：
ball screws ball screws emissivity emissivity bio-inspired coating bio-inspired coating graphene graphene Saharan silver ants Saharan silver ants
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Guo, Yueyang , Gao, Xiangsheng , Wang, Min et al. Bio-inspired graphene-coated ball screws: Novel approach to reduce the thermal deformation of ball screws [J]. | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE , 2020 , 235 (5) : 789-799 . |
| MLA | Guo, Yueyang et al. "Bio-inspired graphene-coated ball screws: Novel approach to reduce the thermal deformation of ball screws" . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 235 . 5 (2020) : 789-799 . |
| APA | Guo, Yueyang , Gao, Xiangsheng , Wang, Min , Zan, Tao . Bio-inspired graphene-coated ball screws: Novel approach to reduce the thermal deformation of ball screws . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE , 2020 , 235 (5) , 789-799 . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
