Papers by Author: Fa Yun Zhang

Abstract: The finite element model of double etching pits was established, optical performance of multicrystalline silicon wafer before and after etching was simulated by RF MODULE of COMSOL Multiphysics version 3.5a. Optical characteristic of unetching wafer and acidic textured were compared. It is indicates that acidic textured (double etching pits) has low reflectivity, high power flow Y component , the better light trapping. When the wavelength is 600nm, the maximum and minimum value of surface electric field Z component of acidic textured are 1.9 times and 1.4 times respectively than that of unetching wafer, and two extremum value of surface magnetic field Z component are 2.1 times and 1.9 times respectively than that of unetching wafer. Numerical simulation results of Multi hole model are closely with experimental values, which can guide the practical production.

Abstract: Magnesium matrix composites are prepared with a hybrid optimizing metod here. Different SiC volume fractions, processing temperature and stirring time have different influence on tensile strength and elongation of SiC; but how to find out the satisfied treating parameters is an unavoidable question, a hybrid method is put out and experiments prove the effectiveness of research work.

Abstract: SiC_p/AZ61 matrix composites were fabricated by stirring process in the paper. Different SiC volume fractions, processing temperature and stirring time have different influence on tensile strength and elongation of SiC; it is very difficult to find out the best processing parameters with traditional method. An effective method is demonstrated here: The orthogonal experiment design method is put into use at first, and then a satisfied ANN(Artificial Neural Network) is achieved by help of GA’s(Genetic Algorithm) global optimizing capacity. Experimental results proved the prediction accuracy and the adaptability of our work.

Abstract: Many new methods for polysilicon texture are invented in solar cell preparation and isotropic acidic corroding has become one of the primary methods for its advantage of fitting for mass production. It is an unavoidable problem that how to evaluate results under different reagent ratio and different reaction time. On the base of Genetic Algorithm (GA), methods for evaluating the best process parameters are given out aided by artificial neural network (ANN), It is proved by experiments that this method can find out the best combinations of process parameters globally.