Electrochemical techniques and fractal theory were employed to study the corrosion behaviors and pits distribution characteristics on the corroded surfaces of 304 stainless steel exposed in FeCl3 solution. Fractal fea...Electrochemical techniques and fractal theory were employed to study the corrosion behaviors and pits distribution characteristics on the corroded surfaces of 304 stainless steel exposed in FeCl3 solution. Fractal features of pits distribution over the corroded surfaces were observed and described by the fractal dimension. A 5-8-2 back-propagation （BP） artificial neural network model for the diagnoses of the pitting corrosion rate and pits deepness of 304 stainless steel under various conditions was developed by considering the fractal dimension as a key parameter for describing the pitting corrosion characteristics. The predicted results are well in agreement with the experimental data of pitting corrosion rate and pit deepness. The max relative errors between their experimental and simulation data are 6.69% and 4.62%, respectively.展开更多
Based on comparison of the single crystal growth from several Czochralski techniques,it showed that the most advantageous method for GaSb growth seems to be LEC pulling method.Highly Te doped GaSb single crystals can...Based on comparison of the single crystal growth from several Czochralski techniques,it showed that the most advantageous method for GaSb growth seems to be LEC pulling method.Highly Te doped GaSb single crystals can be prepared on small scale with good reproducibility by using special filtering technology.Using the Te concentrations calculated from the Hall measurement,the distribution coefficient of tellurium in GaSb was estimated to be about 0.38 under our growth conditions.The etch pit density (EPD) examination in <100> GaSb showed that the profile of EPD is of W shape in growth plane and the value of average EPD is about 1.0×10 -3 cm -2 along growth direction.展开更多
基金the Natural Science Foundation of Liaoning Province (No.972210)
文摘Electrochemical techniques and fractal theory were employed to study the corrosion behaviors and pits distribution characteristics on the corroded surfaces of 304 stainless steel exposed in FeCl3 solution. Fractal features of pits distribution over the corroded surfaces were observed and described by the fractal dimension. A 5-8-2 back-propagation （BP） artificial neural network model for the diagnoses of the pitting corrosion rate and pits deepness of 304 stainless steel under various conditions was developed by considering the fractal dimension as a key parameter for describing the pitting corrosion characteristics. The predicted results are well in agreement with the experimental data of pitting corrosion rate and pit deepness. The max relative errors between their experimental and simulation data are 6.69% and 4.62%, respectively.
文摘Based on comparison of the single crystal growth from several Czochralski techniques,it showed that the most advantageous method for GaSb growth seems to be LEC pulling method.Highly Te doped GaSb single crystals can be prepared on small scale with good reproducibility by using special filtering technology.Using the Te concentrations calculated from the Hall measurement,the distribution coefficient of tellurium in GaSb was estimated to be about 0.38 under our growth conditions.The etch pit density (EPD) examination in <100> GaSb showed that the profile of EPD is of W shape in growth plane and the value of average EPD is about 1.0×10 -3 cm -2 along growth direction.
