Papers by Author: Chun Ling Meng

Abstract: As the important elements in adaptive optical system used for food safety detection instrument, Micro-deformable mirrors are typical Microelectromechanical systems (MEMS). This paper focuses on the structural optimization of the MEMS Micro-deformable mirror. With the method of finite method analysis, the dynamic characteristics of the micro-mirror are studied by the analysis of modal and frequency respond. The random vibration analysis followed shows the optimized structure parameters of the micro-mirror are effective to improve the dynamic performance of the mirror.

Abstract: On the basis of wavelet denoising and its better time-frequency characteristic, this paper presents an effective vibration signal denoising method for food refrigerant air compressor. The solution of eliminating strong noise is investigated with the combination of soft threshold and exponential lipschitza. The good denoising results show that the presented method is effective for improving the signal noise ratio and builds the good foundation for further extraction of the vibration signals.

Abstract: This paper focuses on the structural optimization of chemical sensor support for food safety detection. The mechanical characteristic of chemical sensor support is influenced greatly by its structural parameters. Aiming at improving dynamic stiffness of the support, the modal analysis is implemented with the dynamic theory and the finite element analysis. And a group of rational structure parameters are determined through the optimum calculation. The validity simulation of the optimization is verified by the analyses of the random vibration and harmonic response. The results demonstrate that the performance of the support of the chemical sensor applied for the food detection is enhanced greatly by the presented optimization method here.