Influence of thermal runaway in styrene–acrylonitrile bulk copolymerization revealed by computational fluid dynamics modeling

The computational fluid dynamics (CFD) and kinetic-based moment methods coupled approach is adopted to simulate the bulk copolymerization of styrene–acrylonitrile (SAN) in a stirred tank reactor. Numerical simulations are carried out to investigate the impacts of impeller speed, monomer ratio, initiator ratio, and initial reaction temperature on the copolymerization process and product properties. Particularly, the Chaos theory is selected as a criterion for evaluating the occurrence of the thermal runaway. The Flory's and Stockmayer's distributions are employed to calculate chain length distribution and copolymer composition distribution of copolymer. The simulation results highlight that the appearance of thermal runaway can be postponed by properly increasing the rotation speed, decreasing the initiator loadings, initial acrylonitrile contents and initial reactor temperature. Furthermore, significant differences exist in the product properties that predicted by the ideal and non-ideal models, which demonstrates that the temperature heterogeneity plays a crucial role in SAN copolymerization. This study could offer references for the safe operation and design of polymerization processes.     

朝凯煤矿露天台阶爆破装药结构优化应用研究

本文以神达朝凯煤矿正在开采的台阶为工程背景,针对该矿在台阶爆破过程中存在着大块率高、根底多的现象,通过改变装药结构的方式对爆破参数进行优化。实践证明,优化后大块率和根底问题的治理效果明显。     

华北土石山区典型小流域土壤水文特征与模拟研究

土壤水文特征是研究区域水土资源合理配置的基础支撑要素,根据华北土石山区土壤的地貌分异规律,综合考虑地质、植被、土地利用等因素,采用野外调查取样法、环刀法等,研究了易县崇陵流域5种典型植被(油松、侧柏、银杏、刺槐、荆条)条件下的土壤物理性质、土壤水分特征曲线、土壤入渗过程等土壤水文特征。结果表明,同一植被条件下,土壤容重随土壤深度增加逐渐增大,同一深度条件下,荆条覆盖下的土壤容重最小,其他植被覆盖条件下的土壤容重差别不显著;同一植被条件下,随深度增加,饱和含水率逐渐减小,同一植被不同深度条件下的土壤水吸力随土壤含水率的增加逐渐减小;对土壤水分特征曲线进行拟合时,发现Gardner模型适用于油松和银杏,而张景略模型适用于侧柏、刺槐和荆条;土壤入渗过程的渗润阶段发生在土壤入渗开始的前10min内,渗漏阶段持续100~120min;侧柏最佳入渗模型为Kostiakov模型,而油松、银杏、刺槐及荆条最佳入渗模型为蒋定生模型。     

Characterization and correlation of crude oils from some wells in the North Western Desert,Egypt

Characterization and correlation of crude oils from some wells in the North Western Desert, based on six crude oil samples, were studied by different analytical techniques, including API gravity, sulfur content, nickel and vanadium, bulk compositions and saturated fraction obtained from gas chromatography have been studied. The results show that the crude oils are normal to medium aromatic oils, with high API gravity and high sulfur content. V, Ni, V/Ni and V/(V + Ni) reflecting oils might be sourced from non-clastic source rocks, possibly carbonates, deposited under anoxic-suboxic conditions. Bulk compositions revealing that the crude oils were derived from marine organic sources. While, the paraffins and naphthenes percent indicates that the oils belong to paraffinic to naphthenic oil types, deposited in slightly anoxic to suboxic conditions and contained marine organic matter. Thermal maturity data showed that the oil samples were generated from mature source rocks. This indicates the studied oil samples are well correlated with each other, where they are similar in their oil type maturation and source depositional environments.     

基于改进蚁群算法的三维路径规划

针对移动机器人在海水环境中的三维路径规划问题容易陷入局部最优和收敛慢等瑕疵，根据三维环境全局信息来改进蚁群算法以提高实时性和收敛速度。改进蚁群算法的启发函数，采用局部信息和全局信息结合动态地改进信息素更新方式，以及根据三维空间中路径的平坦程度和光滑度二阶微分分别增加了一阶微分和二阶微分来再次修改信息素更新规则。仿真对比实验结果显示改进后的蚁群算法克服了收敛速度慢、容易陷入局部最优的缺点。     

An enhancement algorithm based on adaptive updating template with Gaussian model for Si3N4 ceramic bearing roller surface defects detection

The method based on machine vision image processing is used to detect the surface defects of Si₃N₄ bearing roller. Owing to the variety of defects, small area and low contrast, it is easy to miss or error detection. In this paper, an adaptive update template defect enhancement algorithm based on Gaussian model is proposed. First, a large number of surface images of Si₃N₄ bearing roller are collected to obtain the non-defect background statistical feature, and the background characteristic curve is fitted by Gaussian model. Further, the initial background template is gained according to the Gaussian curve. Then, combined with the gray distribute of defect images and initial background template, unique adaptive update template can be established. Finally, subtraction operation and nonlinear enhancement are used to improve the comparison of defect information and background. Through inverse sorting, adaptive threshold segmentation and Canny operation, the precise positioning of defects is realized. The enhancement algorithm can effectively enhance the contrast and eliminate the influence of noise. The average detection time is 0.84s, and the detection accuracy is 96.2%.     

基于地质雷达与孔内摄像的爆破防漏施工方法

为了解决在裂隙溶洞岩体条件下,散装炸药由于良好的流动性,容易发生炸药泄漏,形成安全隐患并影响爆破效果的问题。结合具有典型喀斯特地貌特征的贵阳龙洞堡机场三期扩建工程中露天爆破施工的实际情况,以检测数据为基础,提出了一种适用于不良地质条件的散装炸药施工新方法。设计前,对爆区采用地质雷达进行地质检测,探测地下溶洞等不良构造,基于探测数据有针对性的进行爆破设计;使用孔内摄像技术对炮孔内部条件进行检测,从而确定可能发生炸药泄漏的位置。在施工过程中,采用分段装药、包装炸药隔离、高强度聚乙烯膜柔性隔离等技术控制炸药泄漏。在龙洞堡机场扩建工程的露天爆破中应用结果表明,合理运用该技术,可以有效避免混装炸药因泄漏而流失,从而改善裂隙岩体条件的爆破效果。     

Sintering mechanism of high-intensity and low-density ceramic proppants prepared by recycling of waste ceramic sands

Waste ceramic sands were effectively used to prepare the high-intensity and low-density ceramic proppants, realising the recycling of the waste ceramic sands. The technology involved the pelletising in an intensive mixer, in which the waste ceramic sands and other starting materials were added, and followed by heat-treatment under different sintering conditions. The sintering temperature, holding time and heating rate were optimised by investigating the crystalline phase, microstructure, density and breakage ratio of the obtained proppants. The results showed that the proppants sintered at 1260°C for 2?h with a heating rate of 5°C?min^–1 under air atmosphere exhibited high crush resistance and low density, with the breakage ratio of 8.5% under 52?MPa closure pressure and bulk density of 1.65?g?cm^–3. The proppants prepared by bauxite, waste ceramic sands and sintering aids are promising candidates as high-intensity and low-density fracturing proppants in future applications.     

Disclosing the role of surface and bulk erosion on the viscoelastic behavior of biodegradable poly(ε-caprolactone)/poly(lactic acid)/hydroxyapatite nanocomposites

In this study, biodegradable polymer blends and their nanocomposites were prepared using poly(ε-caprolactone) (PCL) and poly(lactic acid) (PLA) as blending components and hydroxyapatite (HA) nanoparticles as reinforcement. X-ray diffraction spectra showed that the presence of HA nanoparticles enhanced the intensity of the peaks (100) and (200) corresponding to the PCL's crystalline planes. The transmission electron microscopy images confirmed the high tendency of HA nanoparticles to locate in the PLA phase. The water uptake values of samples measured at pH 4 were more than those measured at other pH values. The weight loss behavior of blends in acidic medium was completely different from that in basic and neutral media. The Williams–Landel–Ferry equation and time–temperature superposition principle were applied to the creep compliance of the samples and their master curves were determined at reference temperature of 30 °C, and the mechanical properties of samples were predicted in other conditions. The effect of pH on the creep–recovery response of studied samples was analyzed. From this analysis, it could be found that at pH 4, the creep stain increased, while, at pH 7, there was no a significant change in the viscoelastic property. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47151.