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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 ：
During human-robot collaborations (HRC), robot systems must accurately perceive the actions and intentions of humans. The present study proposes the classification of standing postures from standing-pressure images, by which a robot system can predict the intended actions of human workers in an HRC environment. To this end, it explores deep learning based on standing-posture recognition and a multi-recognition algorithm fusion method for HRC. To acquire the pressure-distribution data, ten experimental participants stood on a pressure-sensing floor embedded with thin-film pressure sensors. The pressure data of nine standing postures were obtained from each participant. The human standing postures were discriminated by seven classification algorithms. The results of the best three algorithms were fused using the Dempster-Shafer evidence theory to improve the accuracy and robustness. In a cross-validation test, the best method achieved an average accuracy of 99.96%. The convolutional neural network classifier and data-fusion algorithm can feasibly classify the standing postures of human workers.
Keyword ：
HRC HRC data fusion data fusion convolutional neural network convolutional neural network machine learning machine learning standing-posture recognition standing-posture recognition
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| GB/T 7714 | Li, Guan , Liu, Zhifeng , Cai, Ligang et al. Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory [J]. | SENSORS , 2020 , 20 (4) . |
| MLA | Li, Guan et al. "Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory" . | SENSORS 20 . 4 (2020) . |
| APA | Li, Guan , Liu, Zhifeng , Cai, Ligang , Yan, Jun . Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory . | SENSORS , 2020 , 20 (4) . |
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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 ：
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 ：
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...
Keyword ：
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
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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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Abstract ：
模具磨损是模锻成型过程中模具的主要失效形式,因此如何减小模具磨损量,进一步提高模具的使用寿命,是模锻工艺中急需优化的关键性问题。提出一种模锻成型过程中基于模具磨损的工艺参数优化方法,属于模锻工艺领域,是一种将模锻加工过程中的有限元模拟仿真试验与正交试验设计相结合的工艺参数优化方法。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模具磨损分析的修正模型,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,利用正交试验设计将不同的工艺参数进行组合分析,通过较少的仿真试验次数得到适用于热模锻的最...
Keyword ：
正交试验法 正交试验法 仿真分析 仿真分析 模锻工艺 模锻工艺 参数优化 参数优化 模具磨损 模具磨损 有限元 有限元 Deform Deform
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| GB/T 7714 | 蔡力钢 , 刘海东 , 程强 et al. 基于正交试验法的模锻模具磨损分析及优化 [J]. | 北京工业大学学报 , 2020 , 46 (01) : 1-9 . |
| MLA | 蔡力钢 et al. "基于正交试验法的模锻模具磨损分析及优化" . | 北京工业大学学报 46 . 01 (2020) : 1-9 . |
| APA | 蔡力钢 , 刘海东 , 程强 , 刘志峰 , 杨聪彬 , 亓寅 . 基于正交试验法的模锻模具磨损分析及优化 . | 北京工业大学学报 , 2020 , 46 (01) , 1-9 . |
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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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Abstract ：
介绍了一种高架桥式重型龙门加工中心横梁从初始构型设计到最终确定板件具体尺寸的优化设计方法,首先针对高架桥式重型龙门加工中心横梁承受随动载荷的工况,以及焊接工艺及操作空间的制造限制条件,建立基于变密度法SIMP插值的拓扑优化数学模型,采用启发式调整法对变量进行迭代更新的优化准则法(optimality criteria,OC)算法,利用灵敏度过滤技术抑制棋盘格、增强网格独立性,借助MATLAB编程进行结构拓扑优化,得到横梁初始构型;再以横梁主要板件厚度为设计变量,建立响应面模型,计算刚度和固有频率对板件厚度的灵敏度;采用带有精英策略的第二代非劣排序遗传算法NSGA-II对响应面模型进行多目标优化,在Pareto解集中选出最优解,并基于灵敏度分析对设计变量进行取整修正,优化后的横梁动静态性能满足工程要求,目前已经应用到工程实践中,具有很强实用性.
Keyword ：
高架桥式 高架桥式 多目标优化 多目标优化 变密度法 变密度法 优化设计 优化设计 龙门横梁 龙门横梁 响应面模型 响应面模型
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| GB/T 7714 | 李志杰 , 蔡力钢 , 刘志峰 et al. 高架桥式重型龙门加工中心横梁优化设计 [J]. | 北京工业大学学报 , 2020 , 46 (5) : 440-447 . |
| MLA | 李志杰 et al. "高架桥式重型龙门加工中心横梁优化设计" . | 北京工业大学学报 46 . 5 (2020) : 440-447 . |
| APA | 李志杰 , 蔡力钢 , 刘志峰 , 郭铁能 . 高架桥式重型龙门加工中心横梁优化设计 . | 北京工业大学学报 , 2020 , 46 (5) , 440-447 . |
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