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Kinematic error separation on five-axis NC machine tool based on telescoping double ball bar
Min WANG, Jianzhong HU, Tao ZAN
《机械工程前沿(英文)》 2010年 第5卷 第4期 页码 431-437 doi: 10.1007/s11465-010-0110-1
关键词: error modeling error separation telescoping double ball bar five-axis numerical control (NC) machining tool
Error analysis and optimization of a 3-degree of freedom translational Parallel Kinematic Machine
null
《机械工程前沿(英文)》 2014年 第9卷 第2期 页码 120-129 doi: 10.1007/s11465-014-0300-3
In this paper, error modeling and analysis of a typical 3-degree of freedom translational Parallel Kinematic Machine is presented. This mechanism provides translational motion along the Cartesian X-, Y- and Z- axes. It consists of three limbs each having an arm and forearm with prismatic-revolute-revolute-revolute joints. The moving or tool platform maintains same orientation in the entire workspace due to its joint arrangement. From inverse kinematics, the joint angles for a given position of tool platform necessary for the error modeling and analysis are obtained. Error modeling is done based on the differentiation of the inverse kinematic equations. Variation of pose errors along X, Y and Z directions for a set of dimensions of the parallel kinematic machine is presented. A non-dimensional performance index, namely, global error transformation index is used to study the influence of dimensions and its corresponding global maximum pose error is reported. An attempt is made to find the optimal dimensions of the Parallel Kinematic Machine using Genetic Algorithms in MATLAB. The methodology presented and the results obtained are useful for predicting the performance capability of the Parallel Kinematic Machine under study.
关键词: translational Parallel Kinematic Machine error modeling global error transformation index
Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI
《机械工程前沿(英文)》 2019年 第14卷 第4期 页码 442-451 doi: 10.1007/s11465-019-0543-0
关键词: thermal error heavy-duty CNC machine tools FBG key TMPs prediction model
张国雄
《中国工程科学》 2000年 第2卷 第3期 页码 62-66
测量是获取信息的重要手段。科学研究、生产、高科技发展都离不开测量。测量技术发展的重要特点是它与信息技术的融合,这是提高测量精度、在线和动态测量、复杂参数和复杂环境下测量、智能测量的需要。这一融合贯穿始终,它包括信号调制与解调、采样与重构、信号融合、数据压缩、滤波、信号变换、时间序列分析、谱分析、数据拟合与建模、模式识别、神经网络、仿真与虚拟、误差分离、误差补偿、冗余技术、决策与智能技术等,它们互相支持。文章通过三坐标测量机误差补偿、圆度和轴系误差测量,以及大型工程的柔性坐标测量系统,介绍其在提高测量精度、优化、自标定、丢失信息自恢复、系统重组等方面的作用及其关键技术。
Mesh relationship modeling and dynamic characteristic analysis of external spur gears with gear wear
《机械工程前沿(英文)》 2022年 第17卷 第1期 页码 9-9 doi: 10.1007/s11465-021-0665-z
关键词: gear wear mesh relationship mesh stiffness transmission error vibration characteristics
Zhe SUN, Cheng ZHANG, Pingbo TANG
《工程管理前沿(英文)》 2021年 第8卷 第1期 页码 109-121 doi: 10.1007/s42524-019-0084-6
Chord error constraint based integrated control strategy for contour error compensation
Tie ZHANG, Caicheng WU, Yanbiao ZOU
《机械工程前沿(英文)》 2020年 第15卷 第4期 页码 645-658 doi: 10.1007/s11465-020-0601-7
关键词: cross-coupling controller contour error tracking error position error compensator feed rate regulator
Hao QIN, Shenwei ZHANG, Wenxing ZHOU
《结构与土木工程前沿(英文)》 2013年 第7卷 第3期 页码 276-287 doi: 10.1007/s11709-013-0207-9
关键词: pipeline metal-loss corrosion inverse Gaussian process measurement error hierarchical Bayesian Markov Chain Monte Carlo (MCMC)
Robust ensemble of metamodels based on the hybrid error measure
《机械工程前沿(英文)》 2021年 第16卷 第3期 页码 623-634 doi: 10.1007/s11465-021-0641-7
关键词: metamodel ensemble of metamodels hybrid error measure stochastic problem
Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer
Lili CHEN, Wu ZHOU
《机械工程前沿(英文)》 2013年 第8卷 第2期 页码 146-149 doi: 10.1007/s11465-013-0260-z
To predict more precisely the frequency of force-balanced micro accelerometer with different bias voltages, the effects of bias voltages on error sensitivity of frequency is studied. The resonance frequency of accelerometer under closed loop control is derived according to its operation principle, and its error sensitivity is derived and analyzed under over etching structure according to the characteristics of Deep Reaction Ion Etching (DRIE). Based on the theoretical results, micro accelerometer is fabricated and tested to study the influences of AC bias voltage and DC bias voltage on sensitivity, respectively. Experimental results indicate that the relative errors between test data and theory data are less than 7%, and the fluctuating value of error sensitivity under the range of voltage adjustment is less than 0.01 μm . It is concluded that the error sensitivity with designed parameters of structure, circuit and process error can be used to predict the frequency of accelerometer with no need to consider the influence of bias voltage.
关键词: Micro-Electro-Mechanical Systems (MEMS) micro accelerometer force-balanced micro accelerometer frequency error sensitivity
A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells
《结构与土木工程前沿(英文)》 doi: 10.1007/s11709-023-0006-x
关键词: isogeometric analysis Kirchhoff–Love cylindrical shell free vibration frequency error convergence
Error measurement and assemble error correction of a 3D-step-gauge
MAO Xinyong, LI Bin, SHI Hanmin, LIU Hongqi, LI Xi, LI Peigen
《机械工程前沿(英文)》 2007年 第2卷 第4期 页码 388-393 doi: 10.1007/s11465-007-0067-x
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
《机械工程前沿(英文)》 2012年 第7卷 第1期 页码 47-54 doi: 10.1007/s11465-012-0307-6
Research of thermal characteristics has been a key issue in the development of high-speed feed system. The thermal positioning error of a ball-screw is one of the most important objects to consider for high-accuracy and high-speed machine tools. The research work undertaken herein ultimately aims at the development of a comprehensive thermal error identification model with high accuracy and robust. Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the feed system is identified with the variance and mean square value of the temperatures of supporting bearings and screw-nut as feature vector. A series of experiments were carried out on a self-made quasi high-speed feed system experimental bench HUST-FS-001 to verify the identification capacity of the presented method. The results show that the recommended model can be used to predict the thermal error of a feed system with good accuracy, which is better than the ordinary BP and RBF neural network. The work described in this paper lays a solid foundation of thermal error prediction and compensation in a feed system.
关键词: least squares support vector machine (LS-SVM) feed system thermal error precision machining
Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU
《能源前沿(英文)》 2015年 第9卷 第3期 页码 311-321 doi: 10.1007/s11708-015-0369-3
关键词: global horizontal irradiance (GHI) mean bias error root mean square error mean percentage error coefficient of regression Visual Basic 2010 Express
标题 作者 时间 类型 操作
Kinematic error separation on five-axis NC machine tool based on telescoping double ball bar
Min WANG, Jianzhong HU, Tao ZAN
期刊论文
Error analysis and optimization of a 3-degree of freedom translational Parallel Kinematic Machine
null
期刊论文
Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC
Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI
期刊论文
Mesh relationship modeling and dynamic characteristic analysis of external spur gears with gear wear
期刊论文
Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure
Zhe SUN, Cheng ZHANG, Pingbo TANG
期刊论文
Chord error constraint based integrated control strategy for contour error compensation
Tie ZHANG, Caicheng WU, Yanbiao ZOU
期刊论文
Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis
Hao QIN, Shenwei ZHANG, Wenxing ZHOU
期刊论文
Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer
Lili CHEN, Wu ZHOU
期刊论文
Error measurement and assemble error correction of a 3D-step-gauge
MAO Xinyong, LI Bin, SHI Hanmin, LIU Hongqi, LI Xi, LI Peigen
期刊论文
Identification of thermal error in a feed system based on multi-class LS-SVM
Chao JIN, Bo WU, Youmin HU, Yao CHENG
期刊论文