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- 저자 : Chen Hualing (검색결과 2 건)
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Milling tool wear forecast based on the partial least-squares regression analysis
Xu Chuangwen,Chen Hualing 국제구조공학회 2009 Structural Engineering and Mechanics, An Int'l Jou Vol.31 No.1
Power signals resulting from spindle and feed motor, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the tool wear. The partial least-squares regression (PLSR) method has been established as the tool wear analysis method for this purpose. Firstly, the results of the application of widely used techniques are given and their limitations of prior methods are delineated. Secondly, the application of PLSR is proposed. The singular value theory is used to noise reduction. According to grey relational degree analysis, sample variable is filtered as part sample variable and all sample variables as independent variables for modelling,and the tool wear is taken as dependent variable, thus PLSR model is built up through adapting to several experimental data of tool wear in different milling process. Finally, the prediction value of tool wear is compare with actual value, in order to test whether the model of the tool wear can adopt to new measuring data on the independent variable. In the new different cutting process, milling tool wear was predicted by the methods of PLSR and MLR (Multivariate Linear Regression) as well as BPNN (BP Neural Network) at the same time. Experimental results show that the methods can meet the needs of the engineering and PLSR is more suitable for monitoring tool wear.
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Dynamics of quartz tuning fork force sensors used in standoff photoacoustic detection
Zhouqiang Zhang,Shuhai Jia,Binshan Ma,Hualing Chen,Yuan Wei 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.8
In this paper, a two-degrees-of-freedom model with two coupled oscillators is established to study the dynamics of quartz tuning forkforce sensors. Air squeeze-film damping is considered in this model. When the laser power is 40 mW and the distance between the tuningfork and detected objects is approximately 0.5 m, the resonance amplitude of the tuning fork under the electromagnetic radiationpressure of the laser can reach 0.22 pm. Electromagnetic radiation pressure and resonance amplitude have the tendency to exponentiallydecay along with the distance between the tuning fork and detected objects. The influence of laser power and distance between the tuningfork and detected objects on electromagnetic radiation pressure is also considered. Lastly, an experimental device is set up to verify thecalculation result of the model. Analysis shows that the experimental data are in good agreement with the theoretical calculation results.
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