Two alloys with the different components of trace elements were prepared, and the effects of Sc on the microstructure and texture of Al-Zn-Mg-Cu alloys during hot deformation and solution treatment were investigated. Comparing with the alloy containing only trace Zr, alloy containing trace Sc and trace Zr exhibited following characteristics: after hot deformation, there are smaller sub-grains in the alloy; after solution treatment, the alloy has lower recrystalization fraction, and the density of {011}� 211� (B-) orientation is stronger, while the density of {112}� 111� (C-) orientation is weaker. For this reason above all-Al3(Sc, Zr) particles formed during homogenization distribute uniformly in both inner grain areas and grain boundary areas, which severely prohibited the migration of dislocations and grain boundaries during hot deformation and solution treatment. Because of interfacial energy offered from sub-grain boundaries, the precipitation behavior of MgZn2 was promoted. The promotion and strengthen of sub-microstructural result in increase of the final hardness of alloys with the different components of trace elements by 11.3%.
Reliability requirements for the characteristics of bore inductively setting communication,a dynamic testing way of bore inductively setting communication is introduced.Use test pellet accelerate device in testing,the dynamic environmentystem of bore inductively setting is simulated.Use the software technology based on LabVIEW substitute for the hardware circuit,setting information is decoded.Emulation is established.The feasibility of software is analysed decode,The comprehensive and reliable testing of bore inductively setting communication are realized.
For the high cost and long refitting cycle of the telemetry of none-impact fuze arming distance,a novel testing method for delay arming distance of instant detonating after arming was put forward in this paper.To take the the interrupter device arming signal as trigger signal to detonate the projectile,a certain statistics and error analysis methods were adopted to process the testing data of the samples,and the arming distance of fuze was induced.The test results showed that the muzzle safety distance of fuze could be obtained directly by this method,which had the advantages of low cost and feasibility.
The project selection for Private Equity investment institutions plays a decisive role in profitability.To make Private Equity investment institutions choose the right projects more scientifically and effectively,this paper analyzes the methods of project evaluation of Private Equity and investigates the project evaluation which based on BP neural network,with the combination of the characteristics of BP neural network.By establishing a scientific project evaluation index system,we build a project selection and evaluation mode for Private Equity on the basis of BP neural network.The simulation results show that,BP neural network can evaluate project more efficiently and accurately,which can provide basis for the decision making of investment institutions.
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