Biosorption of simulated aqueous solution containing acidic dyes by Azolla filliculoides

Biosorption of acidic dyes using the live fern Azolla filliculoides was studied in a discontinuous system. Dye parameters, dye initial concentration and contact time were studied in temperature range of 25-30 ºC and pH=7. It was shown that increasing the 23initial concentration of dye and its contact time resulted in decreasing the dye taking quantity by the absorbent. Also, type of dye has an effective role in the process. The highest dye taking capacity was reported in the concentration of 15 mg/L that was 64.52%, 37.53%, and 32.98% for acidic red 14, blue 25, and yellow 17 dyes respectively. Adsorption isotherm models of Langmuir, Freundlich, Dubinin- Radushkovich, and Temkin were analyzed in different concentrations. Adsorption kinetic data were considered by kinetic models of pseudo-first-order and pseudo-secondorder

Synthetic geomechanical logs and distributions for marcellus shale

The intent of this study is to generate synthetic Geomechanical Logs for a specific Marcellus Shale asset using Artificial Intelligence and Data mining Technology. Geomechanical Distributions (Map and Volume) for the entire Marcellus Shale asset was completed. In order to accomplish the objectives, conventional well logs such as Gamma Ray and Bulk Density are used to build Data-Driven models. The Data-Driven technique used in this study is applicable to other shale reservoirs.;Successful recovery of hydrocarbons from the reservoirs, notably shale, is attributed to realizing the key fundamentals of reservoir rock properties. Having adequate and sufficient information regarding the variable lithology and mineralogy is crucial in order to identify the right pay-zone intervals for shale gas production. In addition, contribution of mechanical properties (Principal stress profiles) of shale to hydraulic fracturing strategies is a well-understood concept. It may also contribute to better, more accurate simulation models of production from shale gas reservoirs.;In this study, synthetic Geomechanical logs (Including following properties: Poisson\u27s Ratio, Total Minimum Horizontal Stress, Bulk and Shear Modulus, etc.) are developed for more than 50 Marcellus Shale wells. Using Artificial Intelligence and Data Mining (AI&DM), data-driven models are developed that are capable of generating synthetic Geomechanical logs from conventional logs such as Gamma Ray and Density Porosity. The data-driven models are validated using wells with actual Geomechanical logs that have been removed from the database to serve as blind validation wells. In addition, having access to necessary data to building Geomechanical distributions (Map and Volume) model can assist in understanding the rock mechanical behavior and consequently creating effective hydraulic fractures that is considered an essential step in economically development of Shale assets.;Moreover, running Geomechanical logs on a subset of wells, but having the luxury of generating logs of similar quality for all the existing wells in a Shale asset can prove to be a sound reservoir management tool for better reservoir characterization, modeling and efficient production of Marcellus Shale reservoir

A Review In Preparation of Electronic Ink for Electrophoretic Displays

Electrophoretic displays attracted a lot of attention recently due to its low cost, low weight, low power consumption and reliability. Based on these characteristics, they are going to replace the conventional paper. Electrophoretic displays are called non- emitting displays based on light particle suspensions. They behave as motion of charged particles in a dielectric fluid towards the electrodes with the opposite charge. Electrical and optical properties of electrophoretic displays suspension composition are dependent on the electronic ink that is called E- ink. Thus, key factors in determining image quality depended on electrophoretic particle properties. Enhancing the great image quality for accurate image control and faster response to the voltage applied is dependent on the very small particle size, narrow size distribution and high surface charge of particles. So a lot of research has been done on the modification of particles, surface morphology, surface charge and their stability in media. Therefore, this article reviews the studies of these topics

A Review In Preparation of Electronic Ink for Electrophoretic Displays

Electrophoretic displays attracted a lot of attention recently due to its low cost, low weight, low power consumption and reliability. Based on these characteristics, they are going to replace the conventional paper. Electrophoretic displays are called non- emitting displays based on light particle suspensions. They behave as motion of charged particles in a dielectric fluid towards the electrodes with the opposite charge. Electrical and optical properties of electrophoretic displays suspension composition are dependent on the electronic ink that is called E- ink. Thus, key factors in determining image quality depended on electrophoretic particle properties. Enhancing the great image quality for accurate image control and faster response to the voltage applied is dependent on the very small particle size, narrow size distribution and high surface charge of particles. So a lot of research has been done on the modification of particles, surface morphology, surface charge and their stability in media. Therefore, this article reviews the studies of these topics

Unconventional resource's production under desorption-induced effects

AbstractThousands of horizontal wells are drilled into the shale formations across the U.S. and hydrocarbon production is substantially increased during past years. This fact is accredited to advances obtained in hydraulic fracturing and pad drilling technologies. The contribution of shale rock surface desorption to production is widely accepted and confirmed by laboratory and field evidences. Nevertheless, the subsequent changes in porosity and permeability due to desorption combined with hydraulic fracture closures caused by increased net effective rock stress state, have not been captured in current shale modeling and simulation. Hence, it is essential to investigate the effects of induced permeability, porosity, and stress by desorption on ultimate hydrocarbon recovery.We have developed a numerical model to study the effect of changes in porosity, permeability and compaction on four major U.S. shale formations considering their Langmuir isotherm desorption behavior. These resources include; Marcellus, New Albany, Barnett and Haynesville Shales. First, we introduced a model that is a physical transport of single-phase gas flow in shale porous rock. Later, the governing equations are implemented into a one-dimensional numerical model and solved using a fully implicit solution method. It is found that the natural gas production is substantially affected by desorption-induced porosity/permeability changes and geomechancis. This paper provides valuable insights into accurate modeling of unconventional reservoirs that is more significant when an even small correction to the future production prediction can enormously contribute to the U.S. economy

Future of additive manufacturing: Overview of 4D and 3D printed smart and advanced materials and their applications

© 2020 Elsevier B.V. 4D printing is an emerging field in additive manufacturing of time responsive programmable materials. The combination of 3D printing technologies with materials that can transform and possess shape memory and self-healing capabilities means the potential to manufacture dynamic structures readily for a myriad of applications. The benefits of using multifunctional materials in 4D printing create opportunities for solutions in demanding environments including outer space, and extreme weather conditions where human intervention is not possible. The current progress of 4D printable smart materials and their stimuli-responsive capabilities are overviewed in this paper, including the discussion of shape-memory materials, metamaterials, and self-healing materials and their responses to thermal, pH, moisture, light, magnetic and electrical exposures. Potential applications of such systems have been explored to include advancements in health monitoring, electrical devices, deployable structures, soft robotics and tuneable metamaterials

Graphene Nano-Ribbon Field Effect Transistor under Different Ambient Temperatures

This paper is the first study on the impact of ambient temperature on the electrical characteristics and high frequency performances of double gate armchair graphene nanoribbon field effect transistor (GNRFET). The results illustrate that the GNRFET under high temperature (HT-GNRFET) has the highest cut-off frequency, lowest sub-threshold swing, lowest intrinsic delay and power delay product compared with low-temperature GNRFET (LT-GNRFET) and medium-temperature GNRFET (MTGNRFET). Besides, the LT-GNRFET demonstrates the lowest off-state current and the highest ratios of Ion/Ioff, average velocity and mobile charge. In addition, the LT-GNRFET has the highest gate and quantum capacitances among three aforementioned GNRFETs