The effect of annealing on microstructure,adhesive and frictional properties of GeSb 2 Te 4 films were experimentally studied.The GeSb 2 Te 4 films were prepared by radio frequency(RF)magnetron sputtering,and annealed at 200℃and 340℃under vacuum circumstance,respectively.The adhesion and friction experiments were mainly conducted with a lateral force microscope(LFM)for the GeSb 2 Te 4 thin films before and after annealing.Their morphology and phase structure were analyzed by using atomic force microscopy(AFM)and X-ray Diffraction(XRD)techniques,and the nanoindention was employed to evaluate their hardness values.Moreover,an electric force microscope(EFM)was used to measure the surface potential. It is found that the deposited GeSb 2 Te 4 thin film undergoes an amorphous-to-fcc and fcc-to-hex structure transition;the adhesion has a weaker dependence on the surface roughness,but a certain correlation with the surface potential of GeSb 2 Te 4 thin films.And the friction behavior of GeSb 2 Te 4 thin films follows their adhesion behavior under a lower applied load.However,such a relation is replaced by the mechanical behavior when the load is relatively higher.Moreover,the GeSb 2 Te 4 thin film annealed at 340℃presents a lubricative property. 相似文献
目的改良大鼠可逆性大脑中动脉缺血模型的栓子制作方法,增加模型稳定性和成功率,提高脑缺血实验研究结果的可靠性.方法体重280~320g Wistar雄性大鼠60只,随机分成改良组和对照组,每组30只.对照组用尼龙线一端加热法制作传统栓子,改良组用尼龙线一端沾silicone胶法制作改良栓子.两组模型除栓子制作方法不同外,其他手术步骤完全相同.采用Zea Longa 5分制法进行模型的神经功能评分,采用TTC染色法测量并计算梗死灶的大小.比较两组模型制作成功率、成功模型中神经功能评分3、4级大鼠所占百分数,以 相似文献
As the global economy develops rapidly, traffic congestion has become a major problem for first-tier cities in various countries. In order to address the problem of failed real-time control of the traffic flow data by the traditional traffic light control as well as malicious attack and other security problems faced by the intelligent traffic light (ITL) control system, a multi-agent distributed ITL control method was proposed based on the fog computing platform and the Q learning algorithm used for the reinforcement learning in this study, and the simulation comparison was conducted by using the simulation platform jointly constructed based on the VISSIM-Excel VBA-MATLAB software. Subsequently, on the basis of puzzle difficulty of the computational Diffie–Helleman (CDH) and Hash Collision, the applicable security control scheme of ITL under the fog computing was proposed. The results reveal that the proposed intelligent control system prolongs the time of green light properly when the number of vehicles increases, thereby reducing the delay time and retention rate of vehicles; the security control scheme of ITL based on the puzzle of CDH is less efficient when the vehicle density increases, while that based on the puzzle of Hash collision is very friendly to the fog equipment. In conclusion, the proposed control method of ITL based on the fog computing and Q learning algorithm can alleviate the traffic congestion effectively, so the proposed method has high security.