A novel soybean oil monoglyceride based unsaturated polyester resin (SOMGUPR) was prepared using two step polymerization with soybean oil,glycerol,1.2-propanediol,maleric anhydride and phthalic anhydride. FT-IR spectroscopy ,Gel Permeation Chromatography (GPC) and 1H-NMR spectroscopy were employed to study the chemical structure and molecular weight of this unsaturated polyester resin. The results show that 190°C is the optimal temperature to controll the extent of estification reaction.The number-average molecular weight(Mn) decrease with the increasing value of nglycerol:nsoybean oil in SMOGUPR.Also,the side reaction between SOMG and maleric anhydride has not occured as evidenced by 1H-NMR spectroscopy.

With the prominence of energy crisis and environmental pollution problem, low carbon energy technology innovation is becoming the key of global economy sustainable development. But, for the particularity of technology, the low carbon energy technology innovation has enormous risk. Therefore proportion of low carbon energy technology innovation risk through social channels slowly becomes the crux to promoting the development of low carbon energy technology innovation. As the core subjects in risk proportion of technological innovation, enterprises and social risk-sharing organizations all start to select and adjust their strategy in exploration and trial and error and to seek equilibrium point of interest, thus form a dynamic game process. In this paper, the premise of bounded rationality assumptions of evolutionary game theory has been used as an analytical tool to construct evolutionary game model of social proportion of technological innovation risk, and thus to the stability analysis for both the main strategy of evolution. Results of the evolutionary game analysis show that the participation of a third promoting force play a decisive role in the operation and development of social proportion system of technological innovation risk, thus this paper raised conceptions and recommendations for the government that they should take part in the risk prevention system of low carbon energy technology innovation as a conductor and coordinator.

The equipment combat unit is usually in the aggregated state when operate mission, and the mission maintainability is an important factor for its operational effectiveness. There were kinds of parameter to measure the mission maintainability, such as Mean Downtime and Mission Time to Restore Function. Based on the analyses to layers and performance of the aggregated equipment combat units, the signification of aggregated equipment combat units’ Mission Time to Restore Function was adopted and analyzed, the simulation method and simulation flow for the mobile mission of aggregated equipment combat units were given, and then the simulation model under ExSpect was constructed. Finally, an example was used to prove the simulation model.

As the airborne mission system is increasingly concentrated in a small space, airborne electromagnetic compatibility becomes worse. And the electromagnetic shielding performance of this body mechanism can be improved by blocking its radiation path. Considering the aircraft non-metallic skin properties such as strength, plasticity and resistance to corrosion, by vacuum evaporation, vacuum coating, chemical vapor deposition and dispensing under laboratory conditions and adjusting the material, layer thickness and process parameters, several examples of multiple layers of electromagnetic shielding composite materials are prepared, which has important meaning for engineering practice.

In this paper, the aviation supplies inventory in maintenance process is taken as the study subject. Based on reasonable hypothesis, aviation supplies consuming process in a fixed period is regarded as stochastic process, and inventory process and inventory control system model are built. Take tire inventory as an example and then the model parameters have been identified. On this basis, aviation supplies inventory control system is designed by means of stochastic control theory, which could optimize inventory quantity. Finally, simulate inventory control process by MATLAB simulation software. The results show that inventory variance and average inventory quantity decrease, which can significantly reduce the stock fund and maintenance cost.