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学者姓名:蔡力钢
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摘要 :
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
关键词 :
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
引用:
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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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摘要 :
提出了一种模锻成型过程中基于模具磨损的工艺参数优化方法和一种基于多项式拟合的模具寿命预测方法。将正交试验中的方差分析法与模锻加工过程中的有限元仿真试验相结合,推导出模锻成型过程中对模具磨损影响程度最大的工艺参数及使模具磨损量实现最小值的工艺参数最优解。以热模锻工艺为例,在Archard磨损模型的基础上,推导出适用于热模锻工艺的模具磨损修正模型,并且对热模锻中模具磨损过程进行基于Deform软件的有限元仿真分析。研究了热模锻加工过程中模具工作表面的磨损深度与模锻工艺参数之间的关系,利用正交试验设计和方差分析法推导出适用于热模锻的最优化工艺参数。通过计算模具表面多个关键性节点的磨损深度,根据模具平...
关键词 :
模具寿命预测 模具寿命预测 方差分析法 方差分析法 模具磨损 模具磨损 Deform Deform 模锻工艺 模锻工艺
引用:
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GB/T 7714 | 蔡力钢 , 刘海东 , 潘俊杰 et al. 基于方差分析的模锻模具磨损研究及模具寿命预测(英文) [J]. | Transactions of Nanjing University of Aeronautics and Astronautics , 2020 , 37 (06) : 872-883 . |
MLA | 蔡力钢 et al. "基于方差分析的模锻模具磨损研究及模具寿命预测(英文)" . | Transactions of Nanjing University of Aeronautics and Astronautics 37 . 06 (2020) : 872-883 . |
APA | 蔡力钢 , 刘海东 , 潘俊杰 , 程强 , 初红艳 . 基于方差分析的模锻模具磨损研究及模具寿命预测(英文) . | Transactions of Nanjing University of Aeronautics and Astronautics , 2020 , 37 (06) , 872-883 . |
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摘要 :
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.
关键词 :
bolted joint bolted joint CNC machine tool CNC machine tool dynamic performance dynamic performance frequency level frequency level multi-scale theory multi-scale theory
引用:
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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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摘要 :
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.
关键词 :
Bolted joints Bolted joints Bolt tightening Bolt tightening Computer control systems Computer control systems Machine tools Machine tools Stiffness Stiffness
引用:
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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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摘要 :
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.
关键词 :
harmonic drive harmonic drive prediction method prediction method sensitivity analysis sensitivity analysis transmission accuracy transmission accuracy
引用:
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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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摘要 :
本发明公开了一种基于改进惯性权重粒子群算法的装配序列规划方法,本方法主要是考虑装配问题求解过程中,粒子群算法的求解效率较低,因此,为了更好地更新粒子群的空间位置,本方法将传统标准的w固定模式改进为在考虑全局最优值的变化情况下,以迭代次数为变量的非连续性变化的可调节参数模式,可以有效提高粒子群算法的收敛准确性和全局搜索能力,得到较好的优化可行解。
引用:
复制并粘贴一种已设定好的引用格式,或利用其中一个链接导入到文献管理软件中。
GB/T 7714 | 蔡力钢 , 侯玉晴 , 赵永胜 et al. 一种基于改进惯性权重粒子群算法的装配序列规划方法 : CN202010030748.1[P]. | 2020-01-13 . |
MLA | 蔡力钢 et al. "一种基于改进惯性权重粒子群算法的装配序列规划方法" : CN202010030748.1. | 2020-01-13 . |
APA | 蔡力钢 , 侯玉晴 , 赵永胜 , 王建华 . 一种基于改进惯性权重粒子群算法的装配序列规划方法 : CN202010030748.1. | 2020-01-13 . |
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摘要 :
S-shape acceleration and deceleration are the most widely used flexible acceleration and deceleration method in the current CNC system, but its velocity solution equation contains irrational terms, which create a more complicated solution process. When analyzing the solution process of the S-shape acceleration and deceleration directly, using a traditional numerical solution method, the phenomenon of "solving the interval jump" arises, which is the main reason for low efficiency and poor stability of the solution. According to the S-curve profile and solution, the concept of separating the curve profile recognition from the velocity solution was proposed, and a method of quickly identifying the interval of the solution location was introduced. Through the method mentioned above, the complete acceleration and deceleration curve parameters can be obtained through a one-time plan and a one-time solution, and the solution efficiency and stability are guaranteed; solving the Newton problem depends too much on the initial value of Newton velocity, which not only retains the speed advantage of the Newton method but also uses the downhill factor to ensure its convergence. Through the simulation comparison and analysis, the efficiency, stability, and universality of the method are verified.
引用:
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GB/T 7714 | Li, Zhijie , Cai, Ligang , Liu, Zhifeng . Efficient Planning and Solving Algorithm of S-Shape Acceleration and Deceleration [J]. | WIRELESS COMMUNICATIONS & MOBILE COMPUTING , 2020 , 2020 . |
MLA | Li, Zhijie et al. "Efficient Planning and Solving Algorithm of S-Shape Acceleration and Deceleration" . | WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2020 (2020) . |
APA | Li, Zhijie , Cai, Ligang , Liu, Zhifeng . Efficient Planning and Solving Algorithm of S-Shape Acceleration and Deceleration . | WIRELESS COMMUNICATIONS & MOBILE COMPUTING , 2020 , 2020 . |
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摘要 :
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.
关键词 :
Convolution Convolution Convolutional neural networks Convolutional neural networks Floors Floors Metadata Metadata Social robots Social robots
引用:
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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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摘要 :
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.
关键词 :
Multiobjective optimization Multiobjective optimization Particle swarm optimization (PSO) Particle swarm optimization (PSO) Swarm intelligence Swarm intelligence Intelligent computing Intelligent computing
引用:
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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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摘要 :
本发明公开了一种基于改进惯性权重粒子群算法的装配序列规划方法,本方法主要是考虑装配问题求解过程中,粒子群算法的求解效率较低,因此,为了更好地更新粒子群的空间位置,本方法将传统标准的w固定模式改进为在考虑全局最优值的变化情况下,以迭代次数为变量的非连续性变化的可调节参数模式,可以有效提高粒子群算法的收敛准确性和全局搜索能力,得到较好的优化可行解。
引用:
复制并粘贴一种已设定好的引用格式,或利用其中一个链接导入到文献管理软件中。
GB/T 7714 | 蔡力钢 , 侯玉晴 , 赵永胜 et al. 一种基于改进惯性权重粒子群算法的装配序列规划方法 : CN202010030748.1[P]. | 2020-01-13 . |
MLA | 蔡力钢 et al. "一种基于改进惯性权重粒子群算法的装配序列规划方法" : CN202010030748.1. | 2020-01-13 . |
APA | 蔡力钢 , 侯玉晴 , 赵永胜 , 王建华 . 一种基于改进惯性权重粒子群算法的装配序列规划方法 : CN202010030748.1. | 2020-01-13 . |
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