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以硝酸盐和氧化物为原料,通过甘氨酸-硝酸盐法(GNP)合成出Pr1.3Sr07Ni0.7-xCu0.3FexO4+δ(x=0,0.025,0.05,0.1) (PSNCF)粉体,经压制成形、烧结后得到烧结体样品.采用X射线衍射仪对煅烧后粉体的物相进行分析,利用扫描电子显微镜和能谱仪对样品的微观组织和元素分布进行了表征,采用四端子法和阻塞电极法测量了不同Fe掺杂量烧结体样品的电导率,并对材料的透氧性能进行了测试.实验结果表明,前驱体粉末在1000℃煅烧5h后得到具有四方相的PSNCF粉体.烧结体试样在300 ~ 950℃间的总电导率均在200 S·cm-1以上,且随Fe掺杂含量的增加有所下降;其中,Pr1.3 Sr0.7 Ni0.65 Cu0.3 Fe0.05 O4+δ样品的氧离子电导率在950℃时最大达到0.194 S ·cm-1.另外,随Fe掺杂量增加,PSNCF材料的透氧率增大,950℃下,Fe掺杂量为0.05时(厚1 mm,40;O2-60;N2),透氧率达0.034 mL·cm-2·min-1,为未掺杂样品的3倍. 相似文献
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We design custom-shaped modes for a sixfold symmetric photonic quasi-crystal fiber (PQF), an optical fiber with a sixfold symmetric quasi-periodic array of air holes in the cladding region. The supermodes of the PQF are calculated by the finite element method, and the coupling of an in-phase supermode for the quasi-periodic optical fiber is numerically optimized to obtain identical values. The optimization is guaranteed by the selection of appropriate PQF design parameters. The eigenvalue equation associated with a seven-core PQF is derived from a coupled mode equation. We realize mode shaping and provide the far-field distribution mode of PQFs. The results are beneficial for the structural design and uniform distribution of the in-phase supermodes of PQFs. 相似文献
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Among the perovskite-type oxides with symmetrical structure applied in oxygen permeable membranes,cubic phase structure is the most favorable for oxygen permeation.In order to stabilize the cubic perovskite structure of BaFeO3-δ material at room temperature,iron was partially substituted by praseodymium.BaFe1-yPryO3-δ powders were synthesized by a solid state reaction method,and sintered samples were prepared from the synthesized BaFe1-yPryO3-δ powders.X-ray diffraction results reveal that the BaFe1-yPryO3-δ samples remain cubic structure at praseodymium substitution amount of y=0.05,0.075,0.1.Scanning electron microscope observation indicates that the sintered samples contain only a small amount of enclosed pores and the grain size of BaFe1-yPryO3-δ increase monotonically with the increase of the praseodymium doping amount,praseodymium doping promotes the grain size growth.Tests of electrical conductivity and oxygen permeation flux show that praseodymium doping improves the conduction properties of BaFe1-yPryO3-δ and BaFe0.9Pr0.1O3-δ composition has an electrical conductivity of 6.5 S/cm and an oxygen permeation of 1.112 mL/(cm2·min) at 900 ℃,respectively.High temperature XRD investigation shows that the crystal structure of BaFe0.975Pr0.025O3-δ membrane completely transform to cubic phase at 700 ℃.The present test results have shown that partially substitution of Fe by praseodymium in BaFeO3 can stabilize the cubic structure and improve the properties. 相似文献
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为解决农作物冠层热红外图像边缘灰度级分布不均且噪声较大,而传统图像分割方法难以实现其目标区域有效识别的难题,以苗期红小豆冠层热红外图像为研究对象,将模糊神经网络和仿射变换有机结合,提出了基于热红外图像处理技术的农作物冠层识别模型。首先利用五层线性归一化模糊神经网络的自适应特性,选取高斯隶属度函数,自动计算冠层可见光图像识别的推理规则,有效地分割了可见光图像中的冠层区域。通过分析3种分割指标和熵,定量评价可见光图像冠层分割质量。网络迭代38次时,误差精度为0.000 952,该算法平均有效识别率为96.13%,获取可见光冠层图像的像元信息熵值范围为2.454 4~5.198 7,与标准算法所得冠层图像的像元信息熵仅相差0.245 9。然后以取得可见光图像的冠层有效区域为参考图像,采用仿射变换算法,调整优选平移、旋转、缩放等图像变换因子,配准原始热红外图像,提出了基于仿射变换的冠层热红外图像识别方法。对于初始温度范围值在16.35~19.92 ℃的农作物热红外图像,计算选取旋转幅度为1.0和缩放因子为0.9时,作为异源图像的最优配准参数,获取目标图像的最大温差为3.17 ℃,相对于原图像的平均温度值由18.711 ℃下降至17.790 ℃,进而实现了基于热红外图像处理技术的农作物冠层识别。最后以熵的互信息作为监督指标,对农作物冠层热红外图像识别方法进行评价。提出的冠层热红外图像识别方法,所获取的目标图像与初始热红外图像的平均互信息为4.368 7,标准目标图像和初始热红外图像的平均互信息为3.981 8,二者仅相差0.486 9。同时,两种冠层热红外图像的平均温度差值为0.25 ℃,高效消除了原始热红外图像的背景噪声。结果表明本研究方法的有效性和实用性,能够为应用热红外图像反映农作物生理生态信息特征指标参数提供技术借鉴。 相似文献