Hongqi Liu
Huazhong University of Science and Technology
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Publication
Featured researches published by Hongqi Liu.
Measurement Science and Technology | 2014
Bin Li; Feng Li; Hongqi Liu; Hui Cai; Xinyong Mao; Fangyu Peng
This study presents a novel measurement strategy and an error-compensation model for the measurement of large-scale free-form surfaces in on-machine laser measurement systems. To improve the measurement accuracy, the effects of the scan depth, surface roughness, incident angle and azimuth angle on the measurement results were investigated experimentally, and a practical measurement strategy considering the position and orientation of the sensor is presented. Also, a semi-quantitative model based on geometrical optics is proposed to compensate for the measurement error associated with the incident angle. The normal vector of the measurement point is determined using a cross-curve method from the acquired surface data. Then, the azimuth angle and incident angle are calculated to inform the measurement strategy and error-compensation model, respectively. The measurement strategy and error-compensation model are verified through the measurement of a large propeller blade on a heavy machine tool in a factory environment. The results demonstrate that the strategy and the model are effective in increasing the measurement accuracy.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science | 2014
Hongqi Liu; Lingneng Lian; Bin Li; Xinyong Mao; Shaobin Yuan; Fangyu Peng
The failure of cutting tools significantly decreases machining productivity and product quality; thus, tool condition monitoring is significant in modern manufacturing processes. A new method that is based on singular spectrum analysis and Mahalanobis distance are combined to extract the crucial characteristics from spindle motor current to monitor the tools condition. The singular spectrum analysis is a novel nonparametric technique for extracting the properties of nonlinear and nonstationary signals. However, because the components are not completely independent, the original singular spectrum analysis eventually leads to misinterpretation of the final results. The proposed method is used to overcome the weakness of the original singular spectrum analysis. The singular spectrum analysis algorithm is adopted to decompose the original signal and the useful singular values that correspond to the tool condition can be extracted. The Mahalanobis distance of the singular values is proposed as a feature that can effectively express the tool condition. The experiments on a CNC Vertical Machining Center demonstrate that this method is effective and can accurately detect the tool breakage in mill process.
international conference on system science, engineering design and manufacturing informatization | 2010
Bin Li; Yaoqiang Wei; Xinyong Mao; Kuanmin Mao; Hongqi Liu; Hongliang Tian
Considering that NC machine tools are difficult to be excited, a novel method of executing the self-exciting of structural vibration by applying a machine tool movement, which is proved to be effective by machine tool testing, is presented in the proposed study. The influence of movement parameters on the vibration response is studied by testing the designed movement under different parameters and comparing the characteristics of vibration response signals in the time and frequency domains. The proposed method is validated by comparison of the testing frequencies and those of experimental modal analysis (EMA). As this method does not need additional vibration-excitation equipment, it is suitable for online testing and analyses of NC machine tools, especially for heavy-duty machine tools. The latter ones are difficult, even impossible, to be excited.
international conference on mechanical and electrical technology | 2010
Hongliang Tian; Bin Li; Hongqi Liu; Kuanmin Mao; Peihua Gu
The concept of virtual material was presented for the first time when the flexible joint interface may be considered as a virtual material with the same cross area. The virtual material is rigidly connected with two components situated in both sides of flexible joint interface. By adding an element, a complicated assembled part including a joint interface could be equaled as a simple component without any joint interface in order to simplify the complicated problem about flexible joint interface. A series of exact analytical solutions of elastic modulus, shear modulus, Poisson ratio and density were deduced from virtual material by introducing Hertz contact theory and fractal theory. The virtual material model vibration shapes are in excellent agreement with the experimental results.
international conference on mechanical and aerospace engineering | 2016
Xinyong Mao; Quanxin Liu; Bin Li; Hongqi Liu; Ling Yin; Jiangbo Li
With the rapid application of high speed machining, the feed rate of moving parts has an important influence on the dynamics of high speed machine tool. In this paper, a method of modal decoupling of Operational Deflection Shapes (ODS) was proposed to investigate the dynamic behavior of machine tool with respect to different worktable feed rates. Based on this method, the dominant frequencies vibration of the machine tool at different frequencies and its transformation at different worktable feed rates was identified. Finally, a series of empty running experiments were performed under different worktable feed rates. The experimental results show that (i) the change of worktable feed rate will affect the contribution of different modes vibration to the machine tool vibration; (ii) the contribution of a certain mode vibration to the machine tool vibration is different at different worktable feed rates; (iii) with the worktable feed rate increasing, the change rule of dominant frequency vibration participation is from multimode participation to single mode dominant, and then to the multimode participation. This research will provide valuable information for the selection of machine tool operation parameters and the optimization design of machine tool structure.
international conference on artificial intelligence | 2016
Xing Liu; Xinyong Mao; Yongjun He; Hongqi Liu; WeiHe Fan; Bin Li
Ball screw drives are one the most important means of delivering high precision motion in the industries. Due to the lubrication condition in the ball screw is usually a mixed or boundary lubrication, and this creates wear at the contact area in a ball screw when the motion of a ball screw is in the acceleration or the deceleration step. And the transmission performance and lifetime of ball screw would be decreased, because the wear of ball screw can increase the backlash of a ball screw. For the inaccurate motion of the feed drive systems, there were some troubles in the production. A predictive maintenance should be take to detect the wear condition of ball screw before the deterioration of the positioning accuracy trouble occurs. Mostly researcher are mainly based on through the vibration signals measured by vibration sensors to research the wear of ball screw, or other methods that were not easy application in industry site. This paper puts forward a method to detect the wear condition of ball screw, Base on the motor current signals monitor the states of the ball screw. The proposed method can not only monitor the wear condition of the ball screw but also avoid the influence of the interference from environment.
International Journal of Machine Tools & Manufacture | 2011
Hongliang Tian; Bin Li; Hongqi Liu; Kuanmin Mao; Fangyu Peng; Xiaolei Huang
International Journal of Machine Tools & Manufacture | 2014
Bo Tan; Xinyong Mao; Hongqi Liu; Bin Li; Songping He; Fangyu Peng; Ling Yin
International Journal of Machine Tools & Manufacture | 2013
Bin Li; Bo Luo; Xinyong Mao; Hui Cai; Fangyu Peng; Hongqi Liu
Archive | 2011
Bin Li; Hongqi Liu; Xinyong Mao; Yufa Ding; Fangyu Peng; Kuanmin Mao