Tuning of electromagnetic wave absorbing properties in Fe-deficient SrFe9.6-xCo1.2Ti1.2O19 hexaferrite-epoxy composites

We report the tunable electromagnetic (EM) wave absorption properties of Fe-deficient SrFe_9.6-xCo_1.2Ti_1.2O₁₉ hexaferrite–epoxy composites. SrFe_9.6-xCo_1.2Ti_1.2O₁₉ hexaferrite powders were prepared via solid-state reaction routes. It was observed that Sr–Ti-rich second phases were formed as x increased, i.e., the Fe content decreased. The ferromagnetic resonance (FMR) frequency of the composites gradually decreased from 8.8 GHz to 4.8 GHz with increasing x, and accordingly, the EM absorption frequency range also gradually changed. The gradual FMR frequency shift was attributed to the compositional shift in the mother phase. It is predicted that the Fe deficiency caused a decrease in the magnetocrystalline anisotropy, and in turn, it shifted the FMR frequency and modified the corresponding EM absorbing properties. All the samples demonstrated a high EM absorption performance with the lowest reflection loss of < −40 dB at the optimized frequency and thickness.     

Permeability identification of a weakly permeable partially saturated porous rock

The present paper deals with the determination of permeability in partially saturated conditions for weakly permeable porous continua such as argillites or deep clayey formations. The permeability can be deduced from measurements of transient weight loss of a sample submitted to a laboratory drying test: a decrease of relative humidity is imposed by saline solution in an hermetic chamber. Assumptions of constant gas pressure equal to atmospheric pressure and of negligible Fickean diffusive transport of vapour are adopted. The only transport phenomenon taken into account inside the sample is the Darcean advective transport of the water liquid. The forward problem is solved by following two modelling approaches: a linear one and a nonlinear one. The parameter identification procedure is based upon the solution of corresponding inverse problems. In the two cases, the Levenberg–Marquardt algorithm has been used for the minimization problem. In the linear approach, the solution of the forward problem is explicit. In the non linear approach, finite volume method for the spatial discretization combined with a Newton–Raphson algorithm has been used to solve the non linear forward problem. The identification method enables variations of permeability and capillary capacity to be estimated. Comparisons between linear and non linear approaches show that the first one is useful to give mean values and order of magnitude of permeability and capacity. A more complete information is deduced from the non linear approach as variations of equivalent capacity and permeability during a test are significant in most cases. The analysis of the obtained results shows that the basic modelling assumption of constant gas pressure inside the sample would not be relevant for lower range of relative humidities and liquid permeability than those investigated.     

岩体裂隙三轴应力渗透规律的试验研究

利用三轴应力渗透仪分别对煤矿底板的硬岩和软岩进行三轴应力渗透试验 ,观测渗水量、围压、轴压及水压的变化。     

论岩体的渗透特性

从岩体结构的控渗作用出发, 可将岩体的渗流介质划分为多孔介质、准多孔介质、面状流不连续介质及脉状流不连续介质四类；论述了岩体复杂的渗透特性, 包括渗流的不均匀性、各向异性、非饱和性及渗流与变形的耦合等问题。文中还对岩体渗流分析的技术思路进行了讨论。     

Selective CO2 capture through microporous Tb(BTC)(H2O).(DMF)1.1 MOF as an additive in novel MMMs fabricated from Matrimid® 5218

Mixed matrix membranes (MMMs) fabricated with porous metal organic frame works have enhanced the separation performance of polymer membranes. In this context microporous 3D Tb(BTC)(H₂O).(DMF)_1.1 MOF was incorporated into pristine Matrimid® with loadings of 10, 20 and 30 weight percentages. SEM micrographs indicated proper distribution of filler in the Matrimid and no interfacial voids were observed. Gas permeation studies evidenced the CO₂ permeability to be 13.2 (82.32%) and 18.34 (153.31%) and 25.86 Barrer for 10, 20 and 30 wt% MMMs respectively. The 257.18% increase in CO₂ permeability of 30 wt% MMM than methane was attributed to polar nature of CO₂, its smaller kinetic diameter, condensability, and larger solubility within the Matrimid matrix than non – polar and larger CH₄ molecules.Addition of filler influenced the pure gas selectivity of all MMMs positively. So, 30 wt% MMM exhibited the highest 58.04% increase in selectivity that was attributed to the molecular sieving property of the filler and the size exclusion phenomena as followed by CH₄ and CO₂. The high values of mixed and pure gas selectivity were obtained upon increasing filler concentration. The commercial applicability of these MMMs was tested by checking their selectivity under increased feed concentrations of CO₂ and checking permeability and selectivities at high temperatures. The study depicted that, competitive sorption of gases, prevalence of size exclusion phenomena and polymer chains relaxation at higher temperature were responsible for low gas selectivity. MMM with 30 wt% of MOF lied close to Robson’s Upper bound 2008 that indicated its good separation potential.     

The effect of hot air exposure on the mechanical properties and carbon dioxide permeability of hydrogenated nitrile butadiene rubber (HNBR) with varying carbon black content

The effect of hot air exposure at 150 °C for up to 12 weeks (ca. 2000 h) on the properties of hydrogenated nitrile butadiene rubber (HNBR) compounds with varying degrees of carbon black content was investigated and reported in this paper. The composition of the HNBR was varied with 0, 10, 30 or 50 PHR carbon black. The tensile properties, hardness, density, solvent saturation swelling and carbon dioxide permeability of these specimens was investigated before and after exposure in a hot air oven. Correlations between these results are reported for the compounds considered in this work. These correlations illustrate how the changes in performance which would require test samples of specific geometries (such as tensile modulus or gas permeation) might in some cases be predicted by tests which do not require exact geometries (such as density or surface hardness), for the materials investigated in this paper.     

壳聚糖-纤维素硫酸钠聚电解质复合物膜对药物表观渗透系数的测试

药物渗透系数是考察复合物膜的药物释放性能的重要参数. 本文以溶解性不同的两种药物扑热息痛和5-氨基水杨酸(5-ASA)为模型药物研究了其在壳聚糖-纤维素硫酸钠聚电解质复合物膜中的渗透性能. 结果表明：壳聚糖-纤维素硫酸钠聚电解质复合物膜的渗透性能与其溶胀性能密切相关;复合物膜中壳聚糖和纤维素硫酸钠的配比、相对分子量和pH值对膜的渗透性能和溶胀性能影响显著,以扑热息痛作为模型药物研究了壳聚糖-纤维素硫酸钠聚电解质复合物膜在模拟胃肠液中对药物的渗透性能. 通过调整该复合物膜的配方,可以使该膜分别实现胃、小肠和结肠定位释药的目的.     

Shear Rate and Permeability in Water Flooding

Water breakthrough during oil recovery can be inhibited by the use of novel shear-induced structure additives. These affect the shear rate experienced by fluid inside the rock matrix. We relate this to the permeability for the purpose of applying these novel non-Newtonian materials which thicken viscosity only in the shear range associated with the permeability of the reservoir while maintaining base fluid properties outside this range.     

高分子除湿膜的进展

高分子除湿膜是新近出现的一种气体分离膜。本文就水分子在高聚物中的透过特点和高分子除湿膜的选材进行了扼要的综述。最后介绍了国外几种已商品化的除湿组件的性能和应用。     

Integration of genetic algorithm and a coactive neuro-fuzzy inference system for permeability prediction from well logs data

Permeability is one of the reservoir fundamental properties, which relate to the amount of fluid contained in a reservoir and its ability to flow. These properties have a significant impact on petroleum fields operations and reservoir management. The most reliable data of local permeability are taken from laboratory analysis of cores. Extensive coring is very expensive and this expense becomes reasonable in very limited cases. Thus, the proper determination of the permeability is of paramount importance because it affects the economy of the whole venture of development and operation of a field. In this study, we introduce a new hybrid network based on Coactive Neuro-Fuzzy Inference System (CANFIS). CANFIS is a dependable and robust network that developed to identify a non-linear relationship and mapping between petrophysical data and core samples. Then to improve the system performance, genetic algorithm (GA) was integrated in order to search of optimal network parameters and decrease of noisy data in training samples. An Iranian offshore gas field is located in the Persian Gulf, has been selected as the study area in this paper. Well log data are available on substantial number of wells. Core samples are also available from a few wells. It was shown that the new proposed strategy is an effective method in predicting permeability from well logs.