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Showing records 389 to 413 of 1263. [First] Page: 1 13 14 15 16 17 18 19 20 21 Last
Assessment and Prediction of Complex Industrial Steam Network Operation by Combined Thermo-Hydrodynamic Modeling
Kristián Hanus, Miroslav Variny, Peter Illés
July 17, 2020 (v1)
Keywords: bottleneck, cold spot, heat losses, operation optimization, steam network
Steam network operation stability and reliability is vital for any industrial branch. A combined steam network model comprising a balance and a coupled thermo-hydrodynamic model, including seasonal variations impact and system specificities, is presented. A balance model can readily be used by a refinery’s operators. The thermo-hydrodynamic model identifies system bottlenecks and cold spots and evaluates proposed operation and investment measures including heat loss reduction. A three-pressure levels refinery steam network served for model testing and validation. Balance model results reveal significant misbalance in steam production and consumption, reaching 30.5% in the low-pressure steam system, and heat balance differences in the range of 9.2% to 29.5% on individual pressure levels, attributable both to flow measurement accuracy issues and to heat losses. The thermo-hydrodynamic model results differ from the measured steam parameters by less than 5% (temperature) and by less than 4... [more]
TLC-Densitometric Determination of Five Coxibs in Pharmaceutical Preparations
Paweł Gumułka, Monika Dąbrowska, Małgorzata Starek
July 17, 2020 (v1)
Subject: Biosystems
Keywords: coxibs, human and veterinary drugs, TLC-densitometry, validation of the method
A class of drugs called coxibs (COX-2 inhibitors) were created to help relieve pain and inflammation of osteoarthritis and rheumatoid arthritis with the lowest amount of side effects possible. The presented paper describes a new developed, optimized and validated thin layer chromatographic (TLC)-densitometric procedure for the simultaneous assay of five coxibs: celecoxib, etoricoxib, firecoxib, rofecoxib and cimicoxib. Chromatographic separation was conducted on HPTLC F254 silica gel chromatographic plates as a stationary phase using chloroform−acetone−toluene (12:5:2, v/v/v) as a mobile phase. Densitometric detection was carried out at two wavelengths of 254 and 290 nm. The method was tested according to ICH guidelines for linearity, recovery and specificity. The presented method was linear in a wide range of concentrations for all analyzed compounds, with correlation coefficients greater than 0.99. The method is specific, precise (%RSD < 1) and accurate (more than 95%, %RSD < 2... [more]
An Adjective Selection Personality Assessment Method Using Gradient Boosting Machine Learning
Bruno Fernandes, Alfonso González-Briones, Paulo Novais, Miguel Calafate, Cesar Analide, José Neves
July 17, 2020 (v1)
Keywords: Affective Computing, gradient boosting, Machine Learning, personality assessment
Goldberg’s 100 Unipolar Markers remains one of the most popular ways to measure personality traits, in particular, the Big Five. An important reduction was later preformed by Saucier, using a sub-set of 40 markers. Both assessments are performed by presenting a set of markers, or adjectives, to the subject, requesting him to quantify each marker using a 9-point rating scale. Consequently, the goal of this study is to conduct experiments and propose a shorter alternative where the subject is only required to identify which adjectives describe him the most. Hence, a web platform was developed for data collection, requesting subjects to rate each adjective and select those describing him the most. Based on a Gradient Boosting approach, two distinct Machine Learning architectures were conceived, tuned and evaluated. The first makes use of regressors to provide an exact score of the Big Five while the second uses classifiers to provide a binned output. As input, both receive the one-hot enc... [more]
High Enzymatic Recovery and Purification of Xylooligosaccharides from Empty Fruit Bunch via Nanofiltration
Hans Wijaya, Kengo Sasaki, Prihardi Kahar, Nanik Rahmani, Euis Hermiati, Yopi Yopi, Chiaki Ogino, Bambang Prasetya, Akihiko Kondo
July 17, 2020 (v1)
Keywords: empty fruit bunch, endoxylanase, membrane technology, xylooligosaccharides, xylose
Xylooligosaccharides (XOS) are attracting an ever-increasing amount of interest for use as food prebiotics. In this study, we used efficient membrane separation technology to convert lignocellulosic materials into a renewable source of XOS. This study revealed a dual function of nanofiltration membranes by first achieving a high yield of xylobiose (a main component of XOS) from alkali-pretreated empty fruit bunch (EFB) hydrolysate, and then by achieving a high degree of separation for xylose as a monosaccharide product. Alkali pretreatment could increase the xylan content retention of raw EFB from 23.4% to 26.9%, which eventually contributed to higher yields of both xylobiose and xylose. Nanofiltration increased the total amount of XYN10Ks_480 endoxylanase produced from recombinant Streptomyces lividans 1326 without altering its specific activity. Concentrated XYN10Ks_480 endoxylanase was applied to the recovery of both xylobiose and xylose from alkali-pretreated EFB hydrolysate. Xylob... [more]
A Comparison of Bioactive Glass Scaffolds Fabricated ‎by Robocasting from Powders Made by Sol−Gel and Melt-Quenching Methods
Basam A. E. Ben-Arfa, Robert C. Pullar
July 17, 2020 (v1)
Subject: Biosystems
Keywords: 45S5 Bioglass®, bioactive glass, biomaterials, biomedical implants, robocasting, scaffold, sol–gel
Bioactive glass scaffolds are used in bone and tissue biomedical implants, and there is great interest in their fabrication by additive manufacturing/3D printing techniques, such as robocasting. Scaffolds need to be macroporous with voids ≥100 m to allow cell growth and vascularization, biocompatible and bioactive, with mechanical properties matching the host tissue (cancellous bone for bone implants), and able to dissolve/resorb over time. Most bioactive glasses are based on silica to form the glass network, with calcium and phosphorous content for new bone growth, and a glass modifier such as sodium, the best known being 45S5 Bioglass®. 45S5 scaffolds were first robocast in 2013 from melt-quenched glass powder. Sol−gel-synthesized bioactive glasses have potential advantages over melt-produced glasses (e.g., greater porosity and bioactivity), but until recently were never robocast as scaffolds, due to inherent problems, until 2019 when high-silica-content sol−gel bioactive glasses (H... [more]
Robust Design of PC/ABS Filled with Nano Carbon Black for Electromagnetic Shielding Effectiveness and Surface Resistivity
Wipoo Sriseubsai, Arsarin Tippayakraisorn, Jun Wei Lim
July 17, 2020 (v1)
Subject: Materials
Keywords: carbon black, dissipation of electrostatic discharge, electromagnetic shielding effectiveness, PC/ABS, surface resistivity
This study focuses on the electromagnetic interference shielding effectiveness (EMI SE), dissipation of electrostatic discharge (ESD), and surface resistivity of polymer blends between polycarbonate (PC) and acrylonitrile−butadiene−styrene (ABS) filled with carbon black powder (CBp) and carbon black masterbatch (CBm). The mixtures of PC/ABS/CB composites were prepared by the injection molding for the 4-mm thickness of the specimen. The D-optimal mixture design was applied in this experiment. The EMI SE was measured at the frequency of 800 and 900 MHz with a network analyzer, MIL-STD-285. The result showed that the EMI SE was increased when the amount of filler increased. The surface resistivity of the composites was determined according to the ASTM D257. It was found that the surface resistivity of the plastic with no additives was 1012 Ω/ square. When the amount of fillers was added, the surface resistivity of plastic composites decreased to the range of 106−1011 Ω/square, which was s... [more]
A Data-Driven-Based Industrial Refrigeration Optimization Method Considering Demand Forecasting
Josep Cirera, Jesus A. Carino, Daniel Zurita, Juan A. Ortega
July 17, 2020 (v1)
Keywords: Compressors, data-driven, Energy Efficiency, industrial process modelling, multi-layer perceptron, partial load ratio, refrigeration systems, self-organizing maps
One of the main concerns of industry is energy efficiency, in which the paradigm of Industry 4.0 opens new possibilities by facing optimization approaches using data-driven methodologies. In this regard, increasing the efficiency of industrial refrigeration systems is an important challenge, since this type of process consume a huge amount of electricity that can be reduced with an optimal compressor configuration. In this paper, a novel data-driven methodology is presented, which employs self-organizing maps (SOM) and multi-layer perceptron (MLP) to deal with the (PLR) issue of refrigeration systems. The proposed methodology takes into account the variables that influence the system performance to develop a discrete model of the operating conditions. The aforementioned model is used to find the best PLR of the compressors for each operating condition of the system. Furthermore, to overcome the limitations of the historical performance, various scenarios are artificially created to fin... [more]
The Effect of Variations of Flow from Tributary Channel on the Flow Behavior in a T-Shape Confluence
Aliasghar Azma, Yongxiang Zhang
July 17, 2020 (v1)
Keywords: channel confluence, the separation zone, turbulent structure
Channel confluences are of the common structures in fluid transport channels. In this study, a series of numerical simulations were performed, utilizing a 3D code to investigate the reaction of the flow parameters and vortical structure to the variations in flow discharge and its Froude number from both main channel and tributary branch in a T-shape junction. The code was calibrated with the experimental data. Parameters, including the velocity, the turbulence energy, stream surface profile, head losses, and the transverse flow motions, were considered in different situations. It was concluded that increasing the ratio of discharge of flow from side-channel to the main channel (Q*) increased the area and power of the recirculation zone, as well as the width of separation plate downstream of the confluence, while it reduced the area of the stagnation zone (or the wake vortex) within the side-channel. It was also indicated that increasing the discharge ratio from side-channel resulted in... [more]
MOF-Based Adsorbents for Atmospheric Emission Control: A Review
Nicola Gargiulo, Antonio Peluso, Domenico Caputo
July 17, 2020 (v1)
Subject: Materials
Keywords: Adsorption, atmospheric environment, climate change, greenhouse gases, metal–organic frameworks
This review focuses on the use of metal−organic frameworks (MOFs) for adsorbing gas species that are known to weaken the thermal self-regulation capacities of Earth’s atmosphere. A large section is dedicated to the adsorption of carbon dioxide, while another section is dedicated to the adsorption of other different gas typologies, whose emissions, for various reasons, represent a “wound” for Earth’s atmosphere. High emphasis is given to MOFs that have moved enough ahead in their development process to be currently considered as potentially usable in “real-world” (i.e., out-of-lab) adsorption processes. As a result, there is strong evidence of a wide gap between laboratory results and the industrial implementation of MOF-based adsorbents. Indeed, when a MOF that performs well in a specific process is commercially available in large quantities, economic observations still make designers tend toward more traditional adsorbents. Moreover, there are cases in which a specific MOF remarkably... [more]
Evaluation of Toxicity on Ctenopharyngodon idella Due to Tannery Effluent Remediated by Constructed Wetland Technology
Sobia Ashraf, Muhammad Naveed, Muhammad Afzal, Sana Ashraf, Sajid Rashid Ahmad, Khadeeja Rehman, Zahir Ahmad Zahir, Avelino Núñez-Delgado
July 17, 2020 (v1)
Subject: Biosystems
Keywords: behavioural response, biotoxicity test, constructed wetlands, Ctenopharyngodon idella, morphological changes, treated tannery effluent
Aquatic pollution caused by industrial effluents is an environmental issue, imposing deleterious impacts on the overall environment, specifically, on humans, by disrupting the balance of the ecosystem. Among all the industries, tanneries are considered some of the most polluting due to heavy use of toxic organic and inorganic compounds during leather processing, most of which find their way into rivers, lakes, and streams, thus exerting adverse effects on aquatic life, particularly on fish. Considering the huge concentrations of pollutants present in tannery effluents, toxicity evaluation is of prime importance. Therefore, bioassays are usually employed to assess the acute toxicity of industrial effluents and efficiency of effluent clean-up technologies as they provide a thorough response of test species to the substances present in the tested media. In the present study, the toxic effects of tannery effluent on common grass carp (Ctenopharyngodon idella) were studied for 96 h in labor... [more]
Mathematical Modelling of Blanch-Assisted Drying of Pomegranate (Punica granatum) Arils in a Hot-Air Drier
Adegoke Olusesan Adetoro, Alemayehu Ambaw Tsige, Umezuruike Linus Opara, Olaniyi Amos Fawole
July 17, 2020 (v1)
Keywords: blanching, cultivars, drying kinetics, effective diffusivity, empirical models
The effect of blanching conditions on the hot-air drying kinetics of three pomegranates (cvs. “Acco”, “Herskawitz” and “Wonderful”) were assessed. Water blanching conditions considered were 90 °C for 30 s, 90 °C for 60 s, 100 °C for 30 s and 100 °C for 60 s. The drying experiments were carried out at 60 °C, 19.6% relative humidity and at a constant air velocity of 1.0 m s−1. The experimental curves were fitted to seven different drying models. For the Acco cultivar, the drying behaviour was best predicted by the Logarithmic and Page model for blanched (R2 ranging between 0.9966 and 0.9989) and unblanched (R2 = 0.9918) samples, respectively. Furthermore, for the Herskawitz cultivar, Logarithm, Page and Midili models were most suitable for predicting drying behaviour of both blanched and unblanched samples. Also, for the Wonderful cultivar, Logarithm and Midili models were most accurate for predicting the drying behaviour for both blanched and unblanched samples amongst other models. The... [more]
Compound Identification and In Vitro Cytotoxicity of the Supercritical Carbon Dioxide Extract of Papaya Freeze-Dried Leaf Juice
Kooi-Yeong Khaw, Paul Nicholas Shaw, Marie-Odile Parat, Saurabh Pandey, James Robert Falconer
July 17, 2020 (v1)
Keywords: cytotoxic compound, mass spectroscopy, phytosterol, stigmasterol, supercritical fluids, ultra-high-pressure liquid chromatography
Carica papaya leaves are used as a remedy for the management of cancer. Freeze-dried C. papaya leaf juice was extracted using a supercritical fluid extraction system. Compound identification was carried out using analytical techniques including liquid chromatography coupled to high-resolution quadrupole time-of-flight mass spectrometry (LC−QToF-MS) and gas chromatography−mass spectrometry (GC−MS). The cytotoxic activities of the scCO2 extract and its chemical constituents were determined using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay on squamous cell carcinoma (SCC25) and human keratinocyte (HaCaT) cell lines. The chemical constituents were quantified by QToF-MS. The supercritical carbon dioxide (scCO2) extract of papaya freeze-dried leaf juice showed cytotoxic activity against SCC25. Three phytosterols, namely, β-sitosterol, campesterol, and stigmasterol, together with α-tocopherol, were confirmed to be present in the scCO2 extract. Quantitative ana... [more]
Research on State Recognition and Failure Prediction of Axial Piston Pump Based on Performance Degradation Data
Rui Guo, Zhiqian Zhao, Saiyu Huo, Zhijie Jin, Jingyi Zhao, Dianrong Gao
July 17, 2020 (v1)
Keywords: axial piston pump, degraded state recognition, failure prediction, Gaussian process regression, multi-class Gaussian process classification, multi-scale permutation entropy
Degradation state recognition and failure prediction are the key steps of prognostic and health management (PHM), which directly affect the reliability of the equipment and the selection of preventive maintenance strategy. Given the problem that the distinction between feature vectors is not obvious and the accuracy of fault prediction is low, a method based on multi-class Gaussian process classification and Gaussian process regression (GPR) is studied by the vibration signal and flow signal in six degraded states of the axial piston pump. For degradation state recognition, the variational mode decomposition (VMD) was used to decompose the vibration signal, and obtaining intrinsic mode function (IMF) components with rich information. Subsequently, multi-scale permutation entropy (MPE) was employed to select feature vectors of IMF components in different states. In order to reduce feature dimensions and improve recognition performance, ReliefF was used to select feature vectors with hig... [more]
Experimental Analysis of the Performance and Load Cycling of a Polymer Electrolyte Membrane Fuel Cell
Andrea Ramírez-Cruzado, Blanca Ramírez-Peña, Rosario Vélez-García, Alfredo Iranzo, José Guerra
July 17, 2020 (v1)
Keywords: fuel cell, load cycling, New European Driving Cycle, polarization curve, polymer electrolyte membrane
In this work, a comprehensive experimental analysis on the performance of a 50 cm2 polymer electrolyte membrane (PEM) fuel cell is presented, including experimental results for a dedicated load cycling test. The harmonized testing protocols defined by the Joint Research Centre (JRC) of the European Commission for automotive applications were followed. With respect to a reference conditions representative of automotive applications, the impact of variations in the cell temperature, reactants pressure, and cathode stoichiometry was analyzed. The results showed that a higher temperature resulted in an increase in cell performance. A higher operating pressure also resulted in higher cell voltages. Higher cathode stoichiometry values negatively affected the cell performance, as relatively dry air was supplied, thus promoting the dry-out of the cell. However, a too low stoichiometry caused a sudden drop in the cell voltage at higher current densities, and also caused significant cell voltage... [more]
An Innovative Design of an Integrated MED-TVC and Reverse Osmosis System for Seawater Desalination: Process Explanation and Performance Evaluation
Omer Mohamed Abubaker Al-hotmani, Mudhar Abdul Alwahab Al-Obaidi, Yakubu Mandafiya John, Raj Patel, Iqbal Mohammed Mujtaba
July 17, 2020 (v1)
Keywords: integrated system of MED_TVC and double RO processes, performance assessment, permeate and retentate reprocessing RO processes (PRRO and RRRO), seawater desalination, Simulation
In recent times two or more desalination processes have been combined to form integrated systems that have been widely used to resolve the limitations of individual processes as well as producing high performance systems. In this regard, a simple integrated system of the Multi Effect Distillation (MED)/Thermal Vapour Compression (TVC) and Permeate Reprocessing Reverse Osmosis (PRRO) process was developed by the same authors and confirmed its validity after a comparison study against other developed configurations. However, this design has a considerable amount of retentate flowrate and low productivity. To resolve this issue, two novel designs of MED and double reverse osmosis (RO) processes including Permeate and Retentate Reprocessing designs (PRRP and RRRO) are developed and modelled in this paper. To systematically assess the consistency of the presented designs, the performance indicators of the novel designs are compared against previous simple designs of MED and PRRO processes a... [more]
AOC-OPTICS: Automatic Online Classification for Condition Monitoring of Rolling Bearing
Hassane Hotait, Xavier Chiementin, Lanto Rasolofondraibe
July 17, 2020 (v1)
Keywords: classification, condition monitoring, OPTICS, rolling bearing
Bearings are essential components in rotating machines. They ensure the rotation and power transmission. So, these components are essential elements for industrial machines. Thus, real-time monitoring is required to detect a possible anomaly, diagnose the failure of rolling bearing and follow its evolution. This paper presents a methodology for automatic online implementation of fault diagnosis of rolling bearings, by AOC-OPTICS (automatic online classification monitoring based on ordering points to identify clustering structure, OPTICS). The algorithm consists of three phases namely: initialization, detection and follow-up. These phases use the combination of features extraction methods, smart ranking, features weighting and classification by the OPTICS method. Two methods have been integrated in the dimension reduction step to improve the efficiency of detection and the followed of the defect (relief method and t-distributed stochastic neighbor embedding method). Thus, the determinat... [more]
Model Calibration of Stochastic Process and Computer Experiment for MVO Analysis of Multi-Low-Frequency Electromagnetic Data
Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass
July 17, 2020 (v1)
Keywords: computer experiment, computer simulation, CST software, EM data, Gaussian process, MVO analysis, stochastic process
An electromagnetic (EM) technique is employed in seabed logging (SBL) to detect offshore hydrocarbon-saturated reservoirs. In risk analysis for hydrocarbon exploration, computer simulation for subsurface modelling is a crucial task. It can be expensive and time-consuming due to its complicated mathematical equations, and only a few realizations of input-output pairs can be generated after a very lengthy computational time. Understanding the unknown functions without any uncertainty measurement could be very challenging as well. We proposed model calibration between a stochastic process and computer experiment for magnitude versus offset (MVO) analysis. Two-dimensional (2D) Gaussian process (GP) models were developed for low-frequencies of 0.0625−0.5 Hz at different hydrocarbon depths to estimate EM responses at untried observations with less time consumption. The calculated error measurements revealed that the estimates were well-matched with the computer simulation technology (CST) ou... [more]
Inside−Out Method for Simulating a Reactive Distillation Process
Liang Wang, Xiaoyan Sun, Li Xia, Jianping Wang, Shuguang Xiang
July 17, 2020 (v1)
Keywords: Inside–Out method, numerical simulation, Reactive Distillation, steady state simulation
Reactive distillation is a technical procedure that promotes material strengthening and its simulation plays an important role in the design, research, and optimization of reactive distillation. The solution to the equilibrium mathematical model of the reactive distillation process involves the calculation of a set of nonlinear equations. In view of the mutual influence between reaction and distillation, the nonlinear enhancement of the mathematical model and the iterative calculation process are prone to fluctuations. In this study, an improved Inside−Out method was proposed to solve the reaction distillation process. The improved Inside−Out methods mainly involved—(1) the derivation of a new calculation method for the K value of the approximate thermodynamic model from the molar fraction summation equation and simplifying the calculation process of the K value, as a result; and (2) proposal for an initial value estimation method suitable for the reactive distillation process. The alg... [more]
Metal Chlorides Grafted on SAPO-5 (MClx/SAPO-5) as Reusable and Superior Catalysts for Acylation of 2-Methylfuran Under Non-Microwave Instant Heating Condition
Ismail Alhassan Auwal, Ka-Lun Wong, Tau Chuan Ling, Boon Seng Ooi, Eng-Poh Ng
July 17, 2020 (v1)
Keywords: acylation, grafting, metal chloride, non-microwave instant heating, silicoaluminophosphate number 5 (SAPO-5), thermochemical activation
Highly active metal chlorides grafted on silicoaluminophosphate number 5, MClx/SAPO-5 (M = Cu, Co, Sn, Fe and Zn) catalysts via simple grafting of respective metal chlorides (MClx) onto SAPO-5 are reported. The study shows that thermochemical treatment after grafting is essential to ensure the formation of chemical bondings between MClx and SAPO-5. In addition, the microscopy, XRD and nitrogen adsorption analyses reveal the homogeneous distribution of MClx species on the SAPO-5 surface. Furthermore, the elemental microanalysis confirms the formation of Si−O−M covalent bonds in ZnClx/SAPO-5, SnClx/SAPO-5 and FeClx/SAPO-5 whereas only dative bondings are formed in CoClx/SAPO-5 and CuClx/SAPO-5. The acidity of MClx/SAPO-5 is also affected by the type of metal chloride grafted. Thus, their catalytic behavior is evaluated in the acid-catalyzed acylation of 2-methylfuran under novel non-microwave instant heating conditions (90−110 °C, 0−20 min). ZnClx/SAPO-5, which has the largest amount of... [more]
Collision Modes of Two Eccentric Compound Droplets
Khanh P. Nguyen, Truong V. Vu
July 17, 2020 (v1)
Keywords: collision, eccentric compound droplet, merging, passing-over, reversing
A compound droplet with its single inner droplet appears in a broad range of applications and has received much attention in recent years. However, the role of the inner droplet location on the dynamical behaviors of the compound droplet is still not completely understood. Accordingly, the present study numerically deals with the eccentricity of the compound droplet affecting its colliding behaviors with the other droplet in a simple shear flow. The solving method is a front-tracking technique that treats the droplet interface as connected elements moving on a rectangular fixed grid. Initially, two compound droplets assumed circular are placed at a distance symmetrically to the domain center and they come into contact, because of the shear flow, when time progresses. During the collision process, the inner droplet that is initially located at a distance to its outer droplet center circulates around this center. It is found that this rotation also contributes to the formation of the col... [more]
Treatment of Landfill Leachate Using Palm Oil Mill Effluent
Tawfiq J. H. Banch, Marlia M. Hanafiah, Salem S. Abu Amr, Abbas F. M. Alkarkhi, Mohammed Hasan
July 17, 2020 (v1)
Keywords: landfill, leachate treatment, mixing ratio, POME, removal efficiency
Sanitary landfilling is the most common method of removing urban solid waste in developing countries. Landfills contain high levels of organic materials, ammonia, and heavy metals, thereby producing leachate which causes a possible future pollution of ground and surface water. Recently, agricultural waste was considered a co-substratum to promote the biodegradation of organics in industrial wastewater. The use of low-cost and natural materials for wastewater treatment is now being considered by many researchers. In this study, palm oil mill effluent (POME) was used for treating stabilized leachate from old landfill. A set of preliminary experiments using different POME/leachate ratios and aeration times was performed to identify the setting of experimental design and optimize the effect of employing POME on four responses: chemical oxygen demand (COD), total suspended solids (TSS), color, and ammoniacal nitrogen (NH3-N). The treatment efficiency was evaluated based on the removal of fo... [more]
Valuation of the Energy Performance of a Greenhouse with an Electric Heater Using Numerical Simulations
Cruz Ernesto Aguilar-Rodriguez, Jorge Flores-Velazquez, Waldo Ojeda-Bustamante, Fernando Rojano, Mauro Iñiguez-Covarrubias
July 17, 2020 (v1)
Keywords: Computational Fluid Dynamics (CFD), crop requirements, energy engineering, thermal stratification
In Mexico, there are regions where the temperature drops below the minimum threshold for tomato cultivation (10 °C), requiring the implementation of auxiliary equipment to heat greenhouse air. The objective of this work was to estimate the energy consumption necessary to maintain climate requirements of a greenhouse located in Texcoco, State of Mexico, by using a model of energy balance implemented on Computational Fluid Dynamics (CFD) simulations. The temperature prediction relied on a numerical model based on CFD, proposing a benchmarking on the position and direction of the heater to estimate its effect on the thermal distribution. Results indicated that heater operation on January 2019, a power of 85.56 kW was needed to keep the greenhouse at 12 °C. Also, simulations indicated that electric heater used was not enough to get a homogeneous temperature inside the greenhouse. To achieve well-distributed thermal conditions, it was necessary to consider both the direction and position of... [more]
Untangling the Potential of Carbon Quantum Dots in Neurodegenerative Disease
Lindsey Jung, Prakash Narayan, Sreeprasad T. Sreenivasan, Mahesh Narayan
July 17, 2020 (v1)
Subject: Biosystems
Keywords: carbon quantum dots, heterogeneity, structure
The transitioning of carbon quantum dot (cQD) applications from electrochemistry, catalysis and environmental sensing to biomedicine represents an important milestone in its 15-year history; a bellwether for its yet-unrealized potential in interventional biology, imaging, diagnostics, prophylaxis and therapy. However, despite the significant advances made over the last decade in several areas of the cQD domain, our knowledge of the exact chemical ipseity of cQDs at the Angstrom level remains either in its infancy or is largely ignored. The imminent crossing over of cQDs into biological systems and into the blood−brain barrier demands attention to the critical, yet unmet, need to resolve the inherent heterogeneity in cQD preparations and their separation into purified conformers, to identify the issues associated with potential cytotoxicity as well as to examine their bioavailability. Perhaps most importantly, and ironically neglected as well, is the compelling urgency to obtain an atom... [more]
Activated Sludge Respiration Activity Inhibition Caused by Mobile Toilet Chemicals
Tomáš Vítěz, Monika Vítězová, Markéta Nováčková, Ivan Kushkevych
July 17, 2020 (v1)
Subject: Biosystems
Keywords: activated sludge, biological oxygen demand, bronopol, chemical toilets, formaldehyde
Ensuring high quality drinking water sources is important task nowadays. To reach this task, knowledge about the impact of different chemicals on aerobic wastewater treatment is mandatory. A mixture of different chemicals reaches wastewater treatment plant every day. With the growing discharge volume of mobile toilet chemicals, active substances in these products in the past years have been recorded. The respiratory activity of activated sludge was determined to show how mobile toilet chemicals and their active substances may affect the biological wastewater treatment process. The results show negative effect of formaldehyde and bronopol on respiratory activity of activated sludge. The wastewater treatment plants influent composition and size also play important roles. Results shows that activated sludge microorganisms at a wastewater treatment plant in industrial urban area may be adapted to the higher pollutants concentration. When mobile toilet tanks are directly discharged at small... [more]
Extensional Magnetorheology as a Tool for Optimizing the Formulation of Ferrofluids in Oil-Spill Clean-Up Processes
José Hermenegildo García-Ortiz, Francisco José Galindo-Rosales
July 17, 2020 (v1)
Subject: Other
Keywords: extensional magneto-rheology, ferrofluids, magnetic clean-up process, nanofluids, oil-spills
In this study, we propose a new way of optimising the formulation of ferrofluids for oil-spill clean-up processes, based on the rheological behaviour under extensional flow and magnetic fields. Different commercial ferrofluids (FFs), consisting of a set of six ferrofluids with different magnetic saturation and particle concentration, were characterised in a Capillary Break-Up Extensional Rheometer (CaBER) equipped with two magnetorheological cells that allow imposing a homogeneous and tunable magnetic field either parallel or perpendicular to the flow direction. The filament thinning process with different intensities and orientation of the magnetic field with respect to the flow direction was analysed, and the results showed that the perpendicular configuration did not have a significant effect on the behaviour of the ferrofluids, as in shear magnetorheometry. However, the parallel configuration allowed to determine that the formulation of ferrofluids for oil-spill cleaning processes... [more]
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