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21.
提出了某航天产品用多弧段封头产品的淬火处理方法;通过有限元分析,得出了多弧段封头在底部约束情况下的热处理畸变趋势;建立了多弧段封头淬火装置的三维模型,介绍了多弧段封头淬火装置的基本结构。通过有限元分析得出在淬火装置约束下,多弧段封头热处理,总畸变量为16.0 mm,Z向15.0 mm,X向8.5 mm。通过对多弧段封头淬火装置的热畸变情况分析,提出了淬火装置的优化设计方案,优化后的多弧段封头的热处理,总畸变量为7.0 mm,Z向10.0 mm,X向3.0 mm。解决了多弧段封头热处理畸变过大问题,并通过生产验证。 相似文献
22.
《Journal of the European Ceramic Society》2020,40(13):4509-4516
The relationship between enhanced dielectric property and structural distortion in tungsten bronze structure ceramics was discussed in this work. The ceramics with the composition of (Ba1-xCax)2NaNb5O15 (x = 0, 0.1, 0.2, 0.3, 0.4) were fabricated via conventional solid-state method. All ceramics were pure without secondary phase and the distinct lattice distortion in structure was testified by Rietveld XRD refinement. Compared with the un-doped composition, the maximum polarization and energy storage density were strongly enhanced according to the ferroelectric property measurements, which were contributed to the distortion of NbO6 octahedron induced by the variation of ionic radius. The actually pulsed charge-discharge property of x = 0.3 ceramic was tested, whist excellent power density (PD = 35.106 MV/cm3) and discharge energy density (Wd = 0.29 J/cm3) were obtained at 100 °C under 120 kV/cm, revealing the potential for application of Ba2NaNb5O15 system-based ceramics in harsh environment. 相似文献
23.
《中国有色金属学会会刊》2020,30(1):76-89
The distribution of temperature and then the distribution of residual stress and distortion in the stiffened aluminum alloy Al6061-T6 plates under the metal inert gas (MIG) welding process were investigated by three dimensional thermo-mechanical coupled finite element model using Ansys software. The properties of materials were considered temperature-dependent and the filler metal was added to the workpiece by the element birth and death technique. In three modes of current, two different speeds and two various sequences, the distribution of residual stress and distortion were calculated and analyzed. The results showed that increase in welding speed decreased the vertical deflection in the plate, transverse shrinkage and angular distortion of plate and the lateral deflection of stiffener, but increased the maximum longitudinal tensile stress in the plate and stiffener. Furthermore, increase in current increased the residual stress and deformation in the plate and stiffener, and the change in the welding sequence changed the distribution of the distortion in the plate and the stiffener without significant change in the distribution of the longitudinal residual stress. 相似文献
24.
在实验室搭建的有机玻璃料仓下料平台上,分别以自由流动粉体玻璃微珠和黏附性粉体煤粉和聚氯乙烯为实验介质,针对无改流体(No-In)、封闭改流体(Con-In)和开放改流体(Ucon-In)三种情况所形成的不同流道结构,开展了粉体料仓下料及其流率建模研究,定量分析了改流体对粉体下料流率的促进作用,对比给出了玻璃微珠、煤粉和聚氯乙烯在不同流道结构料仓内的下料特性。研究表明,改流体的引入有利于提高料仓下料流率,Con-In促进流动效果最明显,对于流动性弱的煤粉,下料流率提升幅度达到最大的58%。基于剪切摩擦区的概念,提出流率校正因子F对最小能量理论方程进行了修正,将理想的料仓下料模型拓展至实际下料过程。进一步,对于Con-In,根据流道结构特征结合对粉体的受力分析,修正了模型中的锥角项;对于Ucon-In,基于粉体下料流动竞争机制,提出分阶段下料模式并关联了内层和夹层的下料流率,最终建立了复杂流道结构料仓的下料流率预测模型。该模型综合考虑了粉体物性、下料流型和流道结构的影响,可有效预测自由流动粉体和黏附性粉体流经传统料仓(No-In)和改流体料仓(包括Con-In和Ucon-In)的粉体下料流率,且预测偏差<10%。 相似文献
25.
The identification rate of UHF RFID system was restricted by multipath propagation effects.The system identification performance was studied considering the correlation coefficient between forward and reverse channels.Based on the generalized Rician fading channel model,the analytical expression of identification rate was derived under independent,full correlation and correlation cases.Compared with the existing analysis,the proposed uniform calculation formula of identification rate was for any correlation coefficient and kinds of channel conditions.The numerical computation and Monte-carlo simulations show that the influences of different correlation coefficients,channel conditions,sensitivity and distance on the identification rate. 相似文献
26.
《Ceramics International》2020,46(5):6293-6299
Perovskite Er1-xCaxMnO3 (x = 0, 0.1, 0.2, 0.25, 0.3, 0.4, 0.5) was synthesized using a solid-state method. Thermal expansion behavior was tested using a thermal dilatometer and high-temperature X-ray diffraction (XRD). The experimental results indicated the doping contents of Ca (x) in the Er1-xCaxMnO3 have a dramatic effect on their thermal expansion behavior. The samples of Er1-xCaxMnO3 (x = 0.1,0.2 and 0.25) exhibit positive thermal expansion (PTE) characteristics while Er0.7Ca0.3MnO3 (x = 0.3) exhibits a negative thermal expansion (NTE) property with a thermal expansion coefficient of −3.1 × 10−6 K−1 in room temperature (RT) −750 K. In addition, Er0.6Ca0.4MnO3 (x = 0.4) exhibits NTE properties only at RT–500 K, and Er0.5Ca0.5MnO3 (x = 0.5) exhibits PTE properties at RT–750 K. The thermal shrinkage mechanism is the Jahn–Teller effect of the Mn3+ ions and the double exchange of Mn3+–O–Mn4+ in Er0.7Ca0.3MnO3. This phenomenon causes Mn–O octahedral distortion and oxygen vacancy, causing Er0.7Ca0.3MnO3 to become anisotropic. This feature results in the elastic deformation of Er0.7Ca0.3MnO3 during heating, which consumes the void and displays NTE at macro level. 相似文献
27.
Jae-Hyun Ro Won-Seok Lee Min-Goo Kang Dae-Ki Hong Hyoung-Kyu Song 《计算机、材料和连续体(英文)》2020,64(1):181-191
In this paper, the supervised Deep Neural Network (DNN) based signal detection
is analyzed for combating with nonlinear distortions efficiently and improving error
performances in clipping based Orthogonal Frequency Division Multiplexing (OFDM)
ssystem. One of the main disadvantages for the OFDM is the high Peak to Average Power
Ratio (PAPR). The clipping is a simple method for the PAPR reduction. However, an effect
of the clipping is nonlinear distortion, and estimations for transmitting symbols are difficult
despite a Maximum Likelihood (ML) detection at the receiver. The DNN based online
signal detection uses the offline learning model where all weights and biases at fullyconnected layers are set to overcome nonlinear distortions by using training data sets. Thus,
this paper introduces the required processes for the online signal detection and offline
learning, and compares error performances with the ML detection in the clipping-based
OFDM systems. In simulation results, the DNN based signal detection has better error
performance than the conventional ML detection in multi-path fading wireless channel. The
performance improvement is large as the complexity of system is increased such as huge
Multiple Input Multiple Output (MIMO) system and high clipping rate. 相似文献
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