斯蒂芬酸铅含量对某型雷管作用可靠性的影响?

为解决某型雷管瞎火、半爆的问题,分析了工艺过程对针刺药组分和其中斯蒂芬酸铅含量的影响。试验结果表明,工艺过程中针刺药分药和回倒环节会引起针刺药中铅钡共晶含量的波动,当铅钡共晶中斯蒂芬酸铅的含量较低时会导致雷管作用失效。通过建立斯蒂芬酸铅含量与雷管作用可靠性的关系,合理解释了故障批产品几个异常现象,指出应通过使用较小的盒子盛装针刺药等措施来确保生产过程受控。     

二甲基硅油 C-Si 伸缩振动模式红外光谱研究

在303~393 K温度范围内,采用变温傅里叶变换衰减全反射红外光谱技术(ATR-FTIR)研究了二甲基硅油的一维红外光谱、二阶导数红外光谱、四阶导数红外光谱和去卷积红外光谱。实验发现,在1800~600 cm~(-1)范围内,二甲基硅油主要存在CH_3伸缩振动模式(νCH_3)、CH_3变形振动模式(δCH_3)、CH_3摇摆振动模式(ρCH_3)、Si-O伸缩振动模式(νSi-O)和Si-C伸缩振动式(νSi-C)等5种红外吸收模式,其中782 cm~(-1)和789 cm~(-1)处的红外吸收峰归属于二甲基硅油νSi-C。以二甲基硅油νSi-C为研究对象,进一步开展相关二维红外光谱的研究。结果发现,随着测定温度的升高,二甲基硅油νSi-C红外吸收强度的变化快慢顺序为:789 cm~(-1)782 cm~(-1)。本项研究拓展了ATR-FTIR技术在二甲基硅油热变性方面的研究范围。     

儿童牙科正畸服务中深度体验设计研究

目的对儿童正畸服务中的深度体验设计与方法策略进行研究。方法通过深度体验设计方法将儿童牙科正畸服务的体验周期进行划分,并对其现状和案例进行分析和梳理,将各体验周期特点进行总结归纳。结论分析归纳出儿童牙科正畸服务深度体验周期中信息平台可视化认知阶段、情绪管理与情感感知连续性诊疗阶段、个人行为与健康生活关联性认同阶段、社区延续服务体验拓展阶段4个深度体验特征,并根据特征的内涵提炼出在深度体验设计指导下对于信息知识认知、正向体验、生活方式及价值获取几个方面服务体验设计策略,为今后的研究提供理论指导。     

GPS测量系统误差分析

本文引出了GPS姿态测量,介绍了GPS测量原理,根据GPS测量系统的特点分析了测量过程中的各种误差,并提出了相应的误差消除措施。     

硅烷偶联剂表面改性玄武岩纤维增强复合材料研究进展

表面改性是增强玄武岩纤维与基体材料之间结合性能的关键。综述了硅烷偶联剂表面改性以及酸、碱刻蚀,等离子处理辅助协同硅烷偶联剂表面改性玄武岩纤维的研究进展,介绍了硅烷偶联剂表面改性玄武岩纤维在聚合物基复合材料中的应用,并对发展趋势进行了展望,同时分析了硅烷偶联剂表面改性玄武岩纤维当前存在的问题。     

微量Mg元素添加对Cu-Cr合金析出行为及性能的影响

通过熔炼铸造工艺制备了Cu-Cr和Cu-Cr-Mg合金,评价了Mg元素对Cu-Cr合金硬度、导电和抗软化性能的影响,研究了Mg元素对Cu-Cr合金析出相的细化作用,探讨了Mg元素的迁移行为。结果表明,相比于Cu-Cr二元合金,时效态Cu-Cr-Mg合金具有更高的硬度和软化温度,且保持较高的导电性能。两种合金的主要时效强化相均为纳米Cr析出相,Mg元素的加入抑制了纳米沉淀相的长大和结构转变,峰时效态Cu-Cr-Mg合金的析出相与基体可能仍保持共格界面关系,过时效态合金中出现与Heulser相结构相同的析出相,且峰时效态Cu-Cr-Mg合金经过高温保温处理后,其强化相的尺寸明显小于Cu-Cr合金析出相。EDS的结果表明,在时效初期Mg和Cr共存于析出相内部,而在时效后期析出相内部只有Cr元素存在,Mg元素发生迁移,同时理论估算结果显示,Mg元素可明显降低Cu(fcc)/Cr(bcc)之间的界面能,导致其偏聚于基体/析出相界面处,这可能是Mg元素能够细化析出相和提高合金性能的主要原因。     

Heterogeneous Fenton-like discoloration of methyl orange using Fe<Subscript>3</Subscript>O<Subscript>4</Subscript>/MWCNTs as catalyst: combination mechanism and affecting parameters

Multi-walled carbon nanotubes (MWCNTs) can act not only as a support for Fe₃O₄ nanoparticles (NPs) but also as a coworker with synergistic effect, accordingly improving the heterogeneous Fenton-like efficiency of Fe₃O₄ NPs. In this study, Fe₃O₄ NPs were in situ anchored onto MWCNTs by a moderate co-precipitation method and the as-prepared Fe₃O₄/MWCNTs nanocomposites were employed as the highly efficient Fenton-like catalysts. The analyses of XRD, FTIR, Raman, FESEM, TEM and HRTEM results indicated the formation of Fe₃O₄ crystals in Fe₃O₄/MWCNTs nanocomposites prepared at different conditions and the interaction between Fe₃O₄ NPs and MWCNTs. Over a wide pH range, the surface of modified MWCNTs possessed negative charges. Based on these results, the possible combination mechanism between Fe₃O₄ NPs and MWCNTs was discussed and proposed. Moreover, the effects of preparation and catalytic conditions on the Fenton-like catalytic efficiency were investigated in order to gain further insight into the heterogeneous Fenton-like reaction catalyzed by Fe₃O₄/MWCNTs nanocomposites.     

ABC 共轴直升机旋翼/机身耦合振动响应分析

前行桨叶概念（Advanced Blade Concept, ABC）共轴直升机具有较大的振动问题,为研究振动机理,建立了ABC 共轴旋翼/机身耦合气动弹性模型,其中桨叶采用有限元梁模型,机身采用精细有限元模型。为提高耦合模型的气动弹性响应分析精度,结合传统 CFD/CSD 耦合分析方法与自由尾迹,提出了 CFD/CSD/自由尾迹耦合计算方法,解决了传统方法的尾迹耗散问题,并保证了计算效率。基于此方法建立了 ABC 共轴直升机旋翼/机身耦合气弹响应分析方法。以样例 ABC 共轴直升机为研究对象,总结了重点位置振动响应随前进比和旋翼交叉角的变化规律,并得出了一些有意义的结论。     

Neural Machine Translation by Fusing Key Information of Text

When the Transformer proposed by Google in 2017, it was first used for machine translation tasks and achieved the state of the art at that time. Although the current neural machine translation model can generate high quality translation results, there are still mistranslations and omissions in the translation of key information of long sentences. On the other hand, the most important part in traditional translation tasks is the translation of key information. In the translation results, as long as the key information is translated accurately and completely, even if other parts of the results are translated incorrect, the final translation results’ quality can still be guaranteed. In order to solve the problem of mistranslation and missed translation effectively, and improve the accuracy and completeness of long sentence translation in machine translation, this paper proposes a key information fused neural machine translation model based on Transformer. The model proposed in this paper extracts the keywords of the source language text separately as the input of the encoder. After the same encoding as the source language text, it is fused with the output of the source language text encoded by the encoder, then the key information is processed and input into the decoder. With incorporating keyword information from the source language sentence, the model’s performance in the task of translating long sentences is very reliable. In order to verify the effectiveness of the method of fusion of key information proposed in this paper, a series of experiments were carried out on the verification set. The experimental results show that the Bilingual Evaluation Understudy (BLEU) score of the model proposed in this paper on the Workshop on Machine Translation (WMT) 2017 test dataset is higher than the BLEU score of Transformer proposed by Google on the WMT2017 test dataset. The experimental results show the advantages of the model proposed in this paper.     

Microsecond pulsed glow discharge as an analytical spectroscopic source

A pulsed glow discharge, operating in the microsecond regime, has been found to be advantageous for the examination of solid samples. We have studied the spectroscopic response by atomic emission, absorption, fluorescence, and mass spectrometries. Results to date show enhanced efficiency for analytical response of the sputtered sample atoms. This type of discharge also permits acquisition of useful diagnostic information concerning glow discharge processes.