Micro-electro-mechanical system (MEMS) have recently seen their field of application extended to military. This is mainly due to the fact that MEMS technologies present a great to reduce the mass, cost, power consumption, while improving the reliability, performance and smartness. Application of MEMS technology, the micropyrotechnic igniter are produced.The principle is based on the integration of lead styphnate (LTNR) material within a micropyrotechnic igniter, which is produced by MEMS with 3 by 3 micro-igniter. Each igniter contains three parts (the igniter chip, silicon chamber, lead styphnate). One import point is the optimization of the igniter process obtaining Ni-Cr bridges with about 13Ω, which is triggered by electrical power delivered to LTNR. The resistance of Ni-Cr bridges is used to sense the temperature on the LTNR which is in contact. The other one point is the optimization of silicon chamber process obtaining incorporate configuration of micropyrotechnic igniter. The ignition performance of micropyrotechnic igniter array are tested with ignition voltage less than 13V. The experimental results will deeply contribute to the micropyrotechnic system. This paper will discuss all these point.
The building mortar was prepared with iron mine tailing sand substituted for natural sand, and the effect of tailing sand on the performances of mortar, such as consistency, stratification, density and strength, was investigated. The results show that it is feasible to prepare building mortar with iron mine tailing sand. The sediment percentage in tailing sand has relatively large effect on the fluidity of mortar, and the tailing sand should be washed with water before being used. When the mortar with low W/C ratio is prepared, a proper amount of water-reducing admixture should be used to adjust the stratification of mortar into the right range. The density of the mortar mixture can meet the requirement of the standard in China. The building mortars with different strength grade and different use can be prepared by adjusting the mixture proportion.
Aiming at the fact that tower bolts are easily affected by factors such as occlusion during the identification process, an improved FasterR-CNN bolt identification method is proposed. In this method, in view of the small size of the detection target and the low resolution of the image, a residual network is added to the traditional FasterR-CNN to improve the efficiency of image recognition. Finally, the above scheme was proved through verification. The result shows that the above method is feasible.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.