PC1D software, which was developed by the University of New South Wales, has been used to simulate photovoltaic properties of crystalline semiconductor devices. The paper focuses on the simulation of silicon solar cell by PC1D. The simulation of silicon solar cell is carried out by setting up key parameters, which include device area, thickness, band gap, etc. Several important characteristics of silicon solar cells are obtained by simulation.

A novel flowrate sensor based on a couple of fiber Bragg gratings( FBGs) has been proposed, consisting of fiber grating pressure sensing setup and Venturi tube. The expression of relationship between the flowrate and the wavelength shift difference of the FBGs is derived. The pressure that two sides of the cross section of the aluminum foil tube in the pressure sensing setup results in the distortion of an isosceles triangle cantilever structure. The distortion results in the wavelength shift of a couple of FBGs that are mounted at either side of the cantilever. By monitoring the wavelength shift difference of the two FBGs, the flowrate can be obtained. The cross-sensitive problem of the FBGs sensor can be solved by compensating the temperature effect. The preliminary experiments have been carried out, and the results verify the feasibility of the proposed sensor with a measurement range from 8 to 200 mm/s.

In the analysis of semiconductor position sensitive detector (PSD) based on the traditional structure, using dual ion implantation method to studying the new type of PSD structure. The new structure of the n-type silicon substrate by implanting a high dose, low energy boron ions and another high energy boron ion, Which subsequent annealing of 2h at 1050 °C in an ambient of dry O2to form a shallow and a low doped p-n junction. Experimental results show that the new structure of PSD can obtained high position resolution, smaller errors and nonlinear response time.

Paper has been removed due to double publication.

In this paper, strong Moire-fringe density and direction are studied in noisy phase maps using a preprocessing method of automatic Moire–fringe analysis. This information can be used to improve the performance of 2-D phase unwrapping methods, to construct phase-jump-preserving filtering strategies, and also to perform robust segmentation of phase data. The method is highly insensitive to noise, is model based and perforros the studies in the Fourier domain.