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Ni-P-Zn_3(PO_4)_2(ZnSnO_3、ZnSiO_3)纳米复合化学镀层性质和组成的研究 总被引:6,自引:0,他引:6
研究了温度、时间、浓度等对 A3钢片上 Ni-P-Zn3(PO4)2、 Ni-P-ZnSnO3和 Ni-P-ZnSiO3纳米复合化学镀层外貌的影响。用扫描电子显微镜( SEM)观察外貌;称重法测定厚度;通过 10% NaCl溶液、 1% H2S气体加速腐蚀试验、 10% CuSO4溶液点滴试验等多种手段测定其耐腐蚀性能;用 X-射线光电子谱 (XPS)及俄歇电子能谱 (AES)测定其价态及组成。结果表明:在最佳施镀条件下,可得光亮、致密、耐腐蚀性强于 A3钢、磷化膜及 Ni-P镀层的纳米复合化学镀层。镀层的原子百分组成约为 (% ): Ni-P-Zn3(PO4)2: Ni 70.00,P 12.47,Zn3(PO4)2 13.93,C 3.6; Ni-P-ZnSnO3: Ni 77.56,P 10.00,ZnSnO3 9.84,C 2.6; Ni-P-ZnSiO3: Ni 83.00,P 10.96,ZnSiO3 5.15,C 0.89。 相似文献
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基于两势方法系统地研究了质子数51 ≤ Z ≤ 83质子放射性核素的衰变半衰期。总的质子-子核相互作用势包括:通过单折叠子核密度和DDM3Y有效相互作用得到的微观核势,通过单折叠子核电荷密度和质子-质子库仑相互作用得到的真实库仑势以及离心势。同时,预测了同一区域16个核的质子放射性半衰期,并且预测的质子放射性半衰期在4.11倍的范围内。此外,还研究了质子放射性的Geiger-Nuttall定律。结果表明,Geiger-Nuttall定律可以用来描述角动量相同的同位素的质子放射性。In the present work, we systematically study the half-lives of proton radioactivity for 51 ≤ Z ≤ 83 nuclei within the two-potential approach. The total emitted proton-daughter nucleus interaction potential is composed of the microscopic nuclear potential obtained by single folding the density of the daughter nucleus with the DDM3Y effective interaction, the realistic Coulomb potential obtained by single folding the charge density of the daughter nucleus with the proton-proton Coulomb interaction and the centrifugal potential. We extend our study to predict proton radioactivity half-lives of 16 nuclei in the same region within a factor of 4.11. In addition, the Geiger-Nuttall law for proton radioactivity is researched. The results indicate that the Geiger-Nuttall law can be used to describe the proton radioactivity isotopes with same angular momentum. 相似文献
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基于两势方法(two-potential-approach,TPA)系统研究了偶-偶核、奇-A核和奇-奇核α衰变半衰期。为了考虑原子核的壳结构的影响而导致的实验半衰期与计算结果之间的偏差,引入了与α结团形成概率相关的禁戒因子和预形成因子。结合前期相关工作[X.D.Sun et al.,Phys.Rev.C 93,034316(2016);X.D.Sun et al.,Phys.Rev.C 95,014319(2017);X.D.Sun et al.,Phys.Rev.C 95,044303(2017)],考虑到壳效应对α粒子预形成的影响,通过分析α衰变半衰期的实验数据,拟合得到了α粒子预形成因子/禁戒因子修正公式的参数,得到了α衰变预形成因子/禁戒因子的计算结果,证实了壳效应及质子-中子相互作用在α结团形成过程中起着重要的作用,离壳越近预形成概率越小离壳越远预形成概率越大。In the present work, the α decay half-lives are systematically studied within the two-potentialapproach for even-even nuclei, odd-A nuclei and odd-odd nuclei. To describe the deviations between experimental half-lives and calculated results due to the nuclear shell structure, α preformation factor and hindrance factor related with α cluster preformation probability are introduced. It is consistent with our previous works[X. D. Sun et al., Phys. Rev. C 93, 034316 (2016); X. D. Sun et al., Phys. Rev. C 95, 014319 (2017); X. D. Sun et al., Phys. Rev. C 95, 044303 (2017)]. Considering the shell effect on the preformation of α and by analyzing the experimental data of the α decay half-lives, the parameters of the α preformation factor/hindrance factor correction formula are obtained. we confirm that the shell effect and the proton-neutron correlation play key roles in the α preformation where the preformation probability near the shell is less than the preformation probability far from the shell. 相似文献
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由N-苯磺酰基甲基苯胺与芳醛反应得到了7种缩合产物,其结构经元素分析,HNMR,MS和IR所确证。 相似文献
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应用正交试验设计,通过实验综合考察了各种影响因素,选出了最佳分析条件,用于粮食中镉、铜、铅的测定。试剂与仪器见文献[1]。一、实验方法取Cd~(2+)、Pb~(2+)、Cu~(2+)标准各0.5μg置于10mL刻度管中,加入2.50mL 4.0mol/LKCl溶液和一定量的Hg(Ⅱ),用0.1mol/L HCl调至pH为2,用水稀至10.00mL,转入电解池中,插入预处理过的电极(三电极体系),搅拌,通氮5min,在-0,9V富集一定时间,在氮气氛下记录电位对时间的曲线,用标准加入法计算Cd、Pb、Cu的含量。 相似文献
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Molecular dynamics computer simulation has been carded out to study the structure and physical properties of iron nanoparticles with 331 to 2133 Fe atoms or with diameter from 2.3 to 4.3 nm. The core of liquid nanodroplets has the similar structure of the bulk molten iron liquid that has an average coordination number around 10.5 and the packing density around 0.45, although the closest Fe-Fe distance is slightly longer in the bulk liquid. Most of the iron nanoparticles formed from the cooling of molten nanodroplets have the same body center cubic crystal structure as it was observed in the bulk under the normal temperature and pressure. Lattice contraction was observed for iron nanoparticles. An amorphous solid and an HCP like solid were obtained accidentally during the quenching runs on Fe331 nanoparticles. The physical properties of iron nanoparticles such as molar volume, density, thermal expansion coefficient, melting point, heat of fusion, heat capacity and diffusion coefficient were estimated based on the results obtained from this simulation. The dependence of physical properties on the nanoparticle sizes was addressed. 相似文献