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学者姓名：蔡力钢
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Abstract ：
为提高加工过程中刀具磨损状态的识别精度,结合改进的变分模态分解算法(modified variational mode decomposition,MVMD)、自适应回溯搜索算法(adaptive backtracking search algorithm,ABSA)及最小二乘支持向量机(least squares-support vector machine,LS-SVM),提出一种刀具磨损快速识别模型.针对传统信号处理方法存在的模态混叠、噪声敏感等问题,采用瞬时频率均值法预先确定最佳分解模态数,引入降噪型变分模态分解算法进行信号分解;为提高优化效率与自适应性,提出一种改进的自适应回溯搜索算...
Keyword ：
振动信号 振动信号 回溯搜索算法 回溯搜索算法 最小二乘支持向量机 最小二乘支持向量机 变分模态分解 变分模态分解 刀具状态监测 刀具状态监测 特征优化 特征优化
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| GB/T 7714 | 蔡力钢 , 李海波 , 杨聪彬 et al. 基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法 [J]. | 北京工业大学学报 , 2021 , 47 (01) : 10-23 . |
| MLA | 蔡力钢 et al. "基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法" . | 北京工业大学学报 47 . 01 (2021) : 10-23 . |
| APA | 蔡力钢 , 李海波 , 杨聪彬 , 刘志峰 , 赵永胜 . 基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法 . | 北京工业大学学报 , 2021 , 47 (01) , 10-23 . |
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Abstract ：
基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法
Keyword ：
振动信号 振动信号 特征优化 特征优化 变分模态分解 变分模态分解 最小二乘支持向量机 最小二乘支持向量机 回溯搜索算法 回溯搜索算法 刀具状态监测 刀具状态监测
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| GB/T 7714 | 蔡力钢 , 李海波 , 杨聪彬 et al. 基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法 [J]. | 蔡力钢 , 2021 , 47 (1) : 10-23 . |
| MLA | 蔡力钢 et al. "基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法" . | 蔡力钢 47 . 1 (2021) : 10-23 . |
| APA | 蔡力钢 , 李海波 , 杨聪彬 , 刘志峰 , 赵永胜 , 北京工业大学学报 . 基于改进VMD和自适应BSA优化LS-SVM的刀具磨损状态监测方法 . | 蔡力钢 , 2021 , 47 (1) , 10-23 . |
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Abstract ：
Computer numerical controlled (CNC) machine tools are comprised of numerous parts mainly connected by bolts. Accurate modeling of the contact stiffness of bolted joints is therefore a crucial element in predicting the dynamic performance of CNC machine tools. This paper presents a contact stiffness model of a bolted joint based on multi-scale theory. The model uses a series of stacked three-dimensional sine waves to describe the multi-scale roughness of the contact surface, and each frequency level is considered to be a single layer of asperities, which are stacked on top of each other. A relationship between the contact area ratio and frequency level can be deduced. Moreover, the contact stiffness at each frequency level can be represented within the model as a spring in series, therefore, the total stiffness is obtained by summing the contact stiffness at each frequency level. An experimental setup consisting of a box-shaped specimen was used to validate the numerical model of the bolted joint for the case of equal bolt pre-tightening forces and relative errors between the multi-scale natural frequencies and experimental frequencies were found to be less than 5.91%. This suggests the multi-scale model can be used to effectively predict the dynamic characteristics of CNC machine tools.
Keyword ：
frequency level frequency level multi-scale theory multi-scale theory dynamic performance dynamic performance CNC machine tool CNC machine tool bolted joint bolted joint
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| GB/T 7714 | Yang, Cheng , Zhao, Yong-Sheng , Liu, Zhi-Feng et al. Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory [J]. | JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS , 2020 , 41 (2) : 159-168 . |
| MLA | Yang, Cheng et al. "Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory" . | JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS 41 . 2 (2020) : 159-168 . |
| APA | Yang, Cheng , Zhao, Yong-Sheng , Liu, Zhi-Feng , Cai, Li-Gang . Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory . | JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS , 2020 , 41 (2) , 159-168 . |
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Abstract ：
The effect of preload relaxation caused by the mechanical vibration on loosening of bolted joints with self-locking capability has been widely observed. This paper proposed a combination testing strategy involving tightening and relaxation to elucidate the loss mechanism of bolt preload. A logarithmic relationship between torque coefficient and tightening torque is reported based on the results of fastening tests. Two types of specimen were designed to evaluate the preload relaxation under axial and transverse vibration. A time-varying model is proposed for predicting the residual preload of bolts. An orthogonal test involving tightening torque, amplitude, and frequency was conducted. The results show that the relaxation evolution of bolted joints subjected to vibration is similar and can be divided into two stages.
Keyword ：
Torque coefficient Torque coefficient Vibration Vibration Bolted joint Bolted joint Preload relaxation Preload relaxation
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| GB/T 7714 | Li, Ying , Liu, Zhifeng , Wang, Yuezhen et al. Experimental study on behavior of time-related preload relaxation for bolted joints subjected to vibration in different directions [J]. | TRIBOLOGY INTERNATIONAL , 2020 , 142 . |
| MLA | Li, Ying et al. "Experimental study on behavior of time-related preload relaxation for bolted joints subjected to vibration in different directions" . | TRIBOLOGY INTERNATIONAL 142 (2020) . |
| APA | Li, Ying , Liu, Zhifeng , Wang, Yuezhen , Cai, Ligang , Zheng, Mingpo . Experimental study on behavior of time-related preload relaxation for bolted joints subjected to vibration in different directions . | TRIBOLOGY INTERNATIONAL , 2020 , 142 . |
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Abstract ：
Harmonic drive is an indispensable device for robotic joint, and transmission accuracy of harmonic drive is one of its most important performance indexes. Due to the unsystematic research on the accuracy of harmonic drive, the accuracy consistency of harmonic drive is poor, and the prediction accuracy is seriously insufficient. This study focuses on modeling of transmission error system and prediction of transmission accuracy. Through tracing analysis of transmission error of harmonic drive, a transmission error model including manufacturing, assembly and tooth profile error is established. Based on Rayleigh distribution of error sources and considering multi-tooth meshing effect of harmonic drive, the transmission accuracy prediction model is built. Tooth profile error is measured by gear measuring center, dimension error and geometric tolerance are gauged by coordinate measuring machine. The transmission accuracy of three types harmonic drive (SHG14, SHG20 and SHG25) is measured by harmonic transmission error test bench under rated conditions. The comparison results show that the difference between the predicted and experimental values is less than 15%, which proves the validity of the accuracy prediction model. Prediction method play a crucial role for accuracy control of harmonic drive system.
Keyword ：
transmission accuracy transmission accuracy prediction method prediction method harmonic drive harmonic drive sensitivity analysis sensitivity analysis
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| GB/T 7714 | Hu, Qiushi , Liu, Zhifeng , Cai, Ligang et al. RESEARCH ON PREDICTION METHOD OF TRANSMISSION ACCURACY OF HARMONIC DRIVE [C] . 2020 . |
| MLA | Hu, Qiushi et al. "RESEARCH ON PREDICTION METHOD OF TRANSMISSION ACCURACY OF HARMONIC DRIVE" . (2020) . |
| APA | Hu, Qiushi , Liu, Zhifeng , Cai, Ligang , Yang, Congbin , Zhang, Tao , Wang, Guang . RESEARCH ON PREDICTION METHOD OF TRANSMISSION ACCURACY OF HARMONIC DRIVE . (2020) . |
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Abstract ：
Computer numerical controlled (CNC) machine tools are comprised of numerous parts mainly connected by bolts. Accurate modeling of the contact stiffness of bolted joints is therefore a crucial element in predicting the dynamic performance of CNC machine tools. This paper presents a contact stiffness model of a bolted joint based on multi-scale theory. The model uses a series of stacked three-dimensional sine waves to describe the multi-scale roughness of the contact surface, and each frequency level is considered to be a single layer of asperities, which are stacked on top of each other. A relationship between the contact area ratio and frequency level can be deduced. Moreover, the contact stiffness at each frequency level can be represented within the model as a spring in series, therefore, the total stiffness is obtained by summing the contact stiffness at each frequency level. An experimental setup consisting of a box-shaped specimen was used to validate the numerical model of the bolted joint for the case of equal bolt pre-tightening forces and relative errors between the multi-scale natural frequencies and experimental frequencies were found to be less than 5.91%. This suggests the multi-scale model can be used to effectively predict the dynamic characteristics of CNC machine tools. © 2020, Chinese Mechanical Engineering Society. All right reserved.
Keyword ：
Bolted joints Bolted joints Computer control systems Computer control systems Machine tools Machine tools Stiffness Stiffness Bolt tightening Bolt tightening
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| GB/T 7714 | Yang, Cheng , Zhao, Yong-Sheng , Liu, Zhi-Feng et al. Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory [J]. | Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao , 2020 , 41 (2) : 159-168 . |
| MLA | Yang, Cheng et al. "Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory" . | Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 41 . 2 (2020) : 159-168 . |
| APA | Yang, Cheng , Zhao, Yong-Sheng , Liu, Zhi-Feng , Cai, Li-Gang . Stiffness Model of Bolted Joint of Machine Tool Based on Multi-scale Theory . | Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao , 2020 , 41 (2) , 159-168 . |
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Abstract ：
The goal of this study was to recognize human standing postures in human-robot collaborations such that the robot can serve the human operator better. An intelligent sensing floor was developed based on a thin-film pressure sensor and a human standing posture dataset was obtained by transforming the pressure data into a pressure image. A human standing posture recognition method based on an improved convolutional neural network is proposed. The results of the experiments demonstrate that a convolutional neural network can be used in the field of pressure images. The proposed method returned a recognition rate of 96.6%. Compared to the traditional neural network, the improved convolutional neural network model has better performance. The study results are expected to be used in standing posture monitoring to provide additional data for a robot in a human-robot collaboration system. © 2020 - IOS Press and the authors. All rights reserved.
Keyword ：
Social robots Social robots Metadata Metadata Convolutional neural networks Convolutional neural networks Floors Floors Convolution Convolution
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| GB/T 7714 | Li, Guan , Liu, Zhifeng , Cai, Ligang et al. Human standing posture recognition based on CNN and pressure floor [J]. | Journal of Computational Methods in Sciences and Engineering , 2020 , 20 (2) : 489-498 . |
| MLA | Li, Guan et al. "Human standing posture recognition based on CNN and pressure floor" . | Journal of Computational Methods in Sciences and Engineering 20 . 2 (2020) : 489-498 . |
| APA | Li, Guan , Liu, Zhifeng , Cai, Ligang , Yan, Jun . Human standing posture recognition based on CNN and pressure floor . | Journal of Computational Methods in Sciences and Engineering , 2020 , 20 (2) , 489-498 . |
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Abstract ：
Particle swarm optimization (PSO), as a kind of swarm intelligence algorithm, has the advantages of simple algorithm principle, less programmable parameters and easy programming. Many scholars have applied particle swarm optimization (PSO) to various fields through learning it, and successfully solved linear problems, nonlinear problems, multiobjective optimization and other problems. However, the algorithm also has obvious problems in solving problems, such as slow convergence speed, too early maturity, falling into local optimization in advance, etc., which makes the convergence speed slow, search the optimal value accuracy is not high, and the optimization effect is not ideal. Therefore, many scholars have improved the particle swarm optimization algorithm. Taking into account the improvement ideas proposed by scholars in the early stage and the shortcomings still existing in the improvement, this paper puts forward the idea of improving particle swarm optimization algorithm in the future. © 2020 IEEE.
Keyword ：
Multiobjective optimization Multiobjective optimization Particle swarm optimization (PSO) Particle swarm optimization (PSO) Swarm intelligence Swarm intelligence Intelligent computing Intelligent computing
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| GB/T 7714 | Cai, Ligang , Hou, Yuqing , Zhao, Yongsheng et al. Application research and improvement of particle swarm optimization algorithm [C] . 2020 : 238-241 . |
| MLA | Cai, Ligang et al. "Application research and improvement of particle swarm optimization algorithm" . (2020) : 238-241 . |
| APA | Cai, Ligang , Hou, Yuqing , Zhao, Yongsheng , Wang, Jianhua . Application research and improvement of particle swarm optimization algorithm . (2020) : 238-241 . |
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Abstract ：
机床结构刚度薄弱环节的辨识问题是提升机床加工性能的关键环节.提出将机床结构等效为悬臂梁结构,并且利用动态测试的方法研究悬臂梁的静刚度.据此,提出一种利用曲线转角指标辨识悬臂梁刚度薄弱环节的方法.以悬臂梁的MATLAB有限元模型为数值算例,利用状态空间法获取数值模型各节点的动态数据,经傅里叶变换后,提取0 Hz处幅值进行转角指标的构建,采用单元的弹性模量的减弱来模拟刚度的薄弱环节,研究悬臂梁的单个单元刚度减弱、2个单元刚度减弱和3个单元刚度减弱以及有噪声参与的3种情况下转角指标评估效果.经算例仿真、实验研究表明,利用曲线转角指标能较好地评估悬臂梁的薄弱环节,具有一定的工程实用价值.
Keyword ：
薄弱环节 薄弱环节 状态空间 状态空间 机床 机床 悬臂梁 悬臂梁 曲线转角指标 曲线转角指标 刚度 刚度
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| GB/T 7714 | 郭铁能 , 曹进选 , 蔡力钢 et al. 利用曲线转角的悬臂梁刚度薄弱环节辨识方法 [J]. | 北京工业大学学报 , 2020 , 46 (12) : 1323-1334 . |
| MLA | 郭铁能 et al. "利用曲线转角的悬臂梁刚度薄弱环节辨识方法" . | 北京工业大学学报 46 . 12 (2020) : 1323-1334 . |
| APA | 郭铁能 , 曹进选 , 蔡力钢 , 白春生 . 利用曲线转角的悬臂梁刚度薄弱环节辨识方法 . | 北京工业大学学报 , 2020 , 46 (12) , 1323-1334 . |
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Abstract ：
胶印机输墨系统中的墨辊按照软硬相间的规律排列。为分析两墨辊间粘弹性油墨层对软质墨辊变形特性的影响,综合考虑油墨层和橡胶层的粘弹性,推导了两辊对滚的动力学模型。同时,建立了硬质墨辊-油墨层-软质墨辊的仿真模型,其中油墨层用弹簧来等效,通过设定等效弹簧的刚度及阻尼来模拟油墨层的粘弹性。对软质墨辊施加轴承约束同时对硬质墨辊施加径向位移,使两墨辊相互挤压,仿真后提取软质墨辊接触区中间节点的变形、应力、应变及等效弹簧的变形。对比不同刚度、阻尼的粘弹性油墨层对软质橡胶辊接触区变形、应力、应变及等效弹簧变形的影响,结果表明,等效弹簧(也即油墨层)的刚度和阻尼越大,软质墨辊受到运动载荷所产生的变形越大,两墨辊...
Keyword ：
油墨阻尼 油墨阻尼 变形 变形 粘弹特性 粘弹特性 油墨刚度 油墨刚度 等效弹簧 等效弹簧
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| GB/T 7714 | 初红艳 , 陈立博 , 丁瑞龙 et al. 考虑油墨粘弹性的胶印机墨辊变形特性分析 [J]. | 高技术通讯 , 2020 , 30 (01) : 48-54 . |
| MLA | 初红艳 et al. "考虑油墨粘弹性的胶印机墨辊变形特性分析" . | 高技术通讯 30 . 01 (2020) : 48-54 . |
| APA | 初红艳 , 陈立博 , 丁瑞龙 , 蔡力钢 . 考虑油墨粘弹性的胶印机墨辊变形特性分析 . | 高技术通讯 , 2020 , 30 (01) , 48-54 . |
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