防护工程柴油电站消烟降温技术研究

针对防护工程对柴油发电机尾气排放的特殊要求,研制柴油电站废气余热发电装置。介绍柴油电站尾气降温技术的发展现状;阐述柴油电站废气余热发电装置和核心系统——温差发电余热系统和降温除尘技术的设计方案;比选静电除尘技术及DPF(diesel particulate filter)消烟除尘技术方案优势,给出基于DPF消烟除尘技术的柴油电站废气余热发电装置效果图。     

PBS-co-DEG与热塑性淀粉共混膜的性能研究

采用流延法制备了不同二甘醇(DEG)含量的聚丁二酸丁二醇二甘醇共聚酯(PBS-co-DEG)与热塑性淀粉(TPS)共混的复合膜,通过核磁共振氢谱仪、傅里叶变换红外光谱仪、凝胶渗透色谱仪、热重分析仪、紫外–可见分光光度计、偏光显微镜等对共聚酯的结构及复合膜的性能进行了表征和测试,采用N435脂肪酶对复合膜进行了降解实验。结果表明,随DEG含量的增加PBS-co-DEG/TPS复合膜的亲水性、光透过率和断裂伸长率均有所增加,热稳定性变化不明显;与PBS/TPS复合膜相比,PBS-co-DEG/TPS复合膜的酶降解速率显著提高。     

Study on the self‐assembly property of type I collagen prepared from tilapia (Oreochromis niloticus) skin by different extraction methods

Type I collagen was prepared from tilapia (Oreochromis niloticus) skin by acetic acid and pepsin process at 4 °C, respectively (ASC and PSC), and hot‐water method separately at 25, 35 and 45 °C (C‐25, C‐35 and C‐45). Their structure and self‐assembly property were discussed. SDS‐PAGE patterns suggested that pepsin hydrolysis and the 35 and 45 °C extraction produced collagen with much reduced proportions of α‐ and β‐chains. Fourier transform infrared spectroscopy spectra revealed that pepsin hydrolysis did not change the conformation of collagen, but higher extraction temperature did. Self‐assembly curves and atomic force microscopy (AFM) observations showed that only ASC, PSC and C‐25 could self‐assemble into fibrils with D‐periodicity, but the reconstruction rate of C‐25 was lower. Besides, PSC had relatively higher resolution ratio compared with others. Overall, pepsin‐extracted collagen displayed higher solubility and better fibril‐forming capacity, having the potential of applying in biomaterials and food‐packaging materials.     

Preparation of manganese monoxide@reduced graphene oxide nanocomposites with superior electrochemical performances for lithium-ion batteries

Manganese monoxide (MnO) nanowire@reduced graphene oxide (rGO) nanocomposites are synthesized using a simple hydrothermal method combined with a calcination process. The structural and morphological characterization of the composites indicates that the MnO nanowires homogeneously anchor on both sides of the cross-linked rGO. The nanocomposites exhibit a high surface area of 126.5?m² g^?1. When employed as an anode material for lithium-ion batteries, the nanocomposites exhibit a reversible capacity of 1195 mAh g^?1 at a current density of 0.1?A?g^?1, with a high charge-discharge efficiency of 99.2% after 150 cycles. The three-dimensional architecture of the present materials exhibits high porosity and electron conductivity, significantly shortening the diffusion path of lithium ions and accelerating their reaction with the electrolyte, which greatly improves the lithium-ion storage properties. These excellent electrochemical performances make the composite a promising electrode material for lithium-ion batteries.     

不同边界条件断层端部应力集中效应及对裂缝发育的启示

与断层应力集中相关的裂缝发育区是致密油气和页岩油气聚集的有利区。以光弹性物理模拟和有限元数值模拟为技术手段，探讨断层端部应力场的平面展布规律，并结合弹性力学理论分析，解析断层端部应力场的分布机理。结果表明，挤压背景下断层端部的压应力集中区以断层端部圆弧最凸出端点为中心以双曲线形式向外呈“8”字形展开状延伸，其控制范围随边界应力强度增加而增大；在0°~90°范围内随断层走向与边界应力方位夹角增大呈整体增强的趋势，在75°时最大，断层形态及模拟时的建模方式对断层端部应力场有重要影响。断层端部的应力集中区是裂缝储层油气勘探开发的高潜力区。     

Tibetan Multi-Dialect Speech and Dialect Identity Recognition

Tibetan language has very limited resource for conventional automatic speech recognition so far. It lacks of enough data, sub-word unit, lexicons and word inventories for some dialects. And speech content recognition and dialect classification have been treated as two independent tasks and modeled respectively in most prior works. But the two tasks are highly correlated. In this paper, we present a multi-task WaveNet model to perform simultaneous Tibetan multi-dialect speech recognition and dialect identification. It avoids processing the pronunciation dictionary and word segmentation for new dialects, while, in the meantime, allows training speech recognition and dialect identification in a single model. The experimental results show our method can simultaneously recognize speech content for different Tibetan dialects and identify the dialect with high accuracy using a unified model. The dialect information used in output for training can improve multi-dialect speech recognition accuracy, and the low-resource dialects got higher speech content recognition rate and dialect classification accuracy by multi-dialect and multi-task recognition model than task-specific models.     

WO3 membrane-encapsulated layered LiNi0.6Co0.2Mn0.2O2 cathode material for advanced Li-ion batteries

Despite Nickel-rich materials have all the advantages of high capacity, long cycle life and low cost, there is still a disadvantage that the capacity decreases rapidly as the number of cycles increases. In order to solve this problem, WO₃ was uniformly coated on the surface of LiNi_0.6Co_0.2Mn_0.2O₂ cathode materials by wet coating, and its cycling performance was greatly improved with the higher capacity. The coated materials were analyzed by X-ray diffraction(XRD), Scanning electron microscope (SEM), high resolution Transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy(XPS). The results showed that the coating thickness was around 3.15?nm, and some tungsten ions were doped into the lattice of the near surface area of the LiNi_0.6Co_0.2Mn_0.2O₂ material. In addition, the results of charge-discharge test showed that 1?wt%WO₃ coating LiNi_0.6Co_0.2Mn_0.2O₂ had the best performance, and delivered a discharge capacity of 140 mAh g^?1 (the capacity retention rate is 84.8%) in the potential interval of 2.8–4.3?V at 1?C (1?C?=?165?mA?g^?1) after 200 cycles, while the bare cathode material only delivered a discharge capacity of 120 mAhg^?1 (the capacity retention rate is 75%). The phenomenon indicates that the WO₃ coating plays a role in inhibiting the harmful side reactions between the cathode material and the electrolyte, improving the electrochemical and structure stability of LiNi_0.6Co_0.2Mn_0.2O₂ cathode materials.