A robust optimization approach of an accelerometer is presented to minimize the effect of variations from micro fabrication. The sensitivity analysis technology is employed to reduce design space and to find the key parameters that have greatest influence on the accelerometer. And then, the constraint conditions and objective functions for robust optimization and the corresponding mathematical model are presented. The optimization problem is solved by the Multiple-island Genetic Algorithm and the results show that an accelerometer with better performance is obtained.

This paper investigates the effects of environmental temperature fluctuations on the performance of a MEMS accelerometer. The model, vibration equation, and calculation of the output of detection capacitance for the accelerometer are presented. The fluctuations in temperature are considered when evaluating the actual performance of the device. The analysis results show that temperature fluctuations have a great influence on the output of the accelerometer although it has little influence on the resonant frequency of sensing mode and the sensitivity of detection capacitance. The performance deviations under the effects of temperature fluctuations are calculated accurately, which provides a reference for the design of temperature compensation method and robust design for the accelerometer.

Cu2O thin films is preparated through electrodeposition with conductive glass of coating indium tin oxide as work electrode.The effects of various factor upon Cu2O film morphology are investigated.The best conditions of electrodeposition Cu2O film are discussed.The deposition potential is determined by Linear sweep voltammetry.The results indicate that when pH is 5.50~ 6.00, the concentrations of Cu (CH3COO)2 is 0.015 ~ 0.04 mol/L,and the deposition potential is-0.075 ~ 0.225 V (vs SCE),Cu2O thin films morphology is dendritic crystal.

During the process of interrupted cutting, milling insert suffers from periodic thermal shock. The bad temperature field caused by cutting heat is the direct reason for tool failure. In order to get more accurate temperature field distribution of milling insert, the experimental research on temperature field is carried on with the FLIR infrared thermal imager. This paper takes hard cutting material 3Cr1Mo1/4V as example. Through the contrast experiments, the temperature field distribution of tool-chip contact area is gained at the moment of milling insert going into or out from the workpiece, and also the difference of failure modes among different milling inserts is revealed. The experimental analysis results show that more accurate distribution of temperature field will be obtained when we apply the infrared thermal imager to observe temperature field during interrupted cutting process. Optimization design for groove of milling insert also can be based on those results.

The BD satellite navigation and positioning system (BDS) is a new generation of satellite navigation and positioning system developed by China independently. In order to get rid of the long-term reliance on the GPS system, research on the BD/GPS integrated navigation positioning algorithm is both inevitable and necessary, and analysis of the BD/GPS integrated navigation positioning accuracy is of great significance for the navigation and positioning applications. In this paper, the basic principles of the integrated navigation and positioning, observation equations and positioning algorithms were expounded, and the least squares algorithm was used to accomplish the positioning calculation. Base on the analysis of Positioning results, the integrated navigation and positioning accuracy of BD/GPS was given. The research results are importance to the application of the BD system.