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Diagnostics of a Domestic Hot Water Storage Tank under Operating Conditions
Paweł Obstawski, Monika Janaszek-Mańkowska, Arkadiusz Ratajski
February 23, 2023 (v1)
Keywords: domestic hot water storage tank, heat exchanger, thermal conductivity coefficient
This paper presents a new method for the diagnostics of a hot water storage tank under operating conditions. Depending on the operating point of the tank, the method enables determination of thermal conductivity coefficients of the coil heat exchanger, which allows us to determine the intensity of heat transfer between the transfer medium and water in the tank as well as of tank walls, which consequently enables determination of heat losses to the environment. Furthermore, the dynamic properties of the tank may also be determined by applying this method. The advantage of this method is possibility of analyzing changes in the material constants of the coil heat exchanger, tank walls, and dynamic properties of the tank as a function of mass flow of the medium supplying the coil heat exchanger. The possibility of determining coefficients of thermal conductivity as well as the inertia of tank and exchanger, based on temperature measurements acquired in operating conditions is a novelty in... [more]
Numerical Prediction of Homogeneity of Gas Flow through Perforated Plates
Kamil Śmierciew, Dariusz Butrymowicz, Jarosław Karwacki, Jerzy Gagan
February 23, 2023 (v1)
Keywords: Computational Fluid Dynamics, flow homogeneity, perforated plate, porous model, velocity distribution
Vanes and baffles are often used as flow distributors where uniform flow is required in the apparatus of large cross-section surface areas. As an alternative, perforated plates with a range of open area ratios are applied to produce required gas flow homogeneity. Usually, the plates with various open area ratios are combined into large panels, of which total surface area can reach hundreds of square meters for large-sized industrial apparatus. Numerical modelling of the flow through such panels can be thought of as overly complex, time-consuming, and inefficient due to numerous small open area ratios in the plates and large differences in dimensions between open area ratios and free-stream areas. For this reason, numerical models of gas flow are limited to single plates only with constant open area ratios. A new indirect modelling approach of gas flow through the perforated plates panel with structural elements and various open area ratios with application of the porous media model is... [more]
Evaluation of Pb, Mg, Al, Zn, and Cu as Electrode Materials in the Electrocoagulation of Microalgae
Jesse T. Phiri, Hun Pak, Junhyung We, Sanghwa Oh
February 23, 2023 (v1)
Subject: Materials
Keywords: aluminum, copper, electrocoagulation, lead, magnesium, microalgae, zinc
Apart from the conventionally used iron (Fe) and aluminum (Al) electrodes in microalgae harvesting, experiments were designed to examine the viability of lead (Pb), magnesium (Mg), zinc (Zn), and copper (Cu) as electrode materials in the harvesting of microalgae. The effect of voltage on the flocculation efficiency (FE) of the electrode materials was examined and compared. By dividing the optimal FE values by their corresponding periods, a simple yet practical approach was used to rank the electrode materials. From highest to lowest flocculation efficiency, the results were as follows: Cu, Zn, Mg, Al, and Pb at 10 V; Mg, Zn, Cu, Al, and Pb at 20 V; and Mg, Zn, Al, Cu, and Pb at 30 V. Important factors such as temperature, periodic FE, consumption of electrode material, pH, and metallic concentrations in the effluent were evaluated. The temperature increase proposed to have been affected by electric resistance drop and anodic corrosion, between 1.7 °C and 3.3 °C, 5 °C and 8.9 °C, and 10... [more]
Evaluation of Hammermill Tip Speed, Air Assist, and Screen Hole Diameter on Ground Corn Characteristics
Michaela Braun, Haley Wecker, Kara Dunmire, Caitlin Evans, Michael W. Sodak, Maks Kapetanovich, Jerry Shepherd, Randy Fisher, Kyle Coble, Charles Stark, Chad Paulk
February 23, 2023 (v1)
Keywords: corn, hammermill, moisture content, particle size
This study was performed to evaluate hammermill tip speed, assistive airflow, and screen hole diameter on hammermill throughput and characteristics of ground corn. Corn was ground using two Andritz hammermills measuring 1 m in diameter each equipped with 72 hammers and 300 HP motors. Treatments were arranged in a 3 × 3 × 3 factorial design with three tip speeds (3774, 4975, and 6176 m/min), three screen hole diameters (2.3, 3.9, and 6.3 mm), and three air flow rates (1062, 1416, and 1770 fan revolutions per minute). Corn was ground on three separate days to create three replications and treatments were randomized within day. Samples were collected and analyzed for moisture, particle size, and flowability characteristics. There was a 3-way interaction (p = 0.029) for standard deviation (Sgw). There was a screen hole diameter × hammer tip speed interaction (p < 0.001) for geometric mean particle size dgw (p < 0.001) and composite flow index (CFI) (p < 0.001). When tip speed incr... [more]
Effects of Bi Substitution on the Cobalt-Free 60wt.0.9Pr0.1O2−δ-40wt.%Pr0.6Sr0.4Fe1−xBiO3−δ Oxygen Transport Membranes
Chao Zhang, Yanhao Huang, Lingyong Zeng, Yiyi He, Peifeng Yu, Huixia Luo
February 23, 2023 (v1)
Subject: Materials
Keywords: Bi substitution, CO2 tolerance, dual-phase membrane, mixed conducting, oxygen transport membrane
The mixed ionic-electronic conducting (MIEC) oxygen transport membrane (OTM) can completely selectively penetrate oxygen theoretically and can be widely used in gas separation and oxygen-enriched combustion industries. In this paper, dual-phase MIEC OTMs doped with Bi are successfully prepared by a sol-gel method with high-temperature sintering, whose chemical formulas are 60wt.0.9Pr0.1O2−δ-40wt.%Pr0.6Sr0.4Fe1−xBiO3−δ (60CPO-40PSF1−xBO, x = 0.01, 0.025, 0.05, 0.10, 0.15, 0.20). The dual-phase structure, element content, surface morphology, oxygen permeability, and stability are studied by XRD, EDXS, SEM, and self-built devices, respectively. The optimal Bi-doped component is 60wt.0.9Pr0.1O2−δ-40wt.%Pr0.6Sr0.4Fe0.99Bi0.01O3−δ, which can maintain 0.71 and 0.62 mL·min−1·cm−2 over 50 h under He and CO2 atmospheres, respectively. The oxygen permeation flux through these Bi-doped OTMs under air/CO2 gradient is 12.7% less than that under air/He gradient, which indicates that the Bi-doped OTMs... [more]
A Qualitative and Quantitative Analysis of Remanufacturing Research
Bashir Salah, Aiman Ziout, Mohammed Alkahtani, Moath Alatefi, Abdelatty Abdelgawad, Ahmed Badwelan, Umar Syarif
February 23, 2023 (v1)
Subject: Optimization
Keywords: reconditioning, recycling, remanufacturing, sustainable manufacturing
The advancements in human lifestyle result in growth in daily demands of products, and accordingly, an increased rate of manufacturing. However, the resources on the planet Earth are limited, thus depleting day-by-day. More goods also contribute to more end-of-life (EOL) dumping or even before EOL in some cases. Therefore, an interest in remanufacturing has appeared, and it offers a solution that can solve or perhaps mitigate the risks of consuming more resources and increasing waste. Remanufacturing is a procedure of bringing used products to “like-new” functional status with a matching warranty. However, due to its relative novelty in terms of research field and industry, remanufacturing is poorly understood. People often mix it with other terms such as recycling, reconditioning, or repair. Therefore, in this research, the focus is on the remanufacturing systems’ definition, relevance, main phases, case studies, and solution methods proposed by various researchers. The word ‘remanufa... [more]
Effective Analysis of Different Gas Diffusers on Bubble Hydrodynamics in Bubble Column and Airlift Reactors towards Mass Transfer Enhancement
Phaly Ham, Saret Bun, Pisut Painmanakul, Kritchart Wongwailikhit
February 23, 2023 (v1)
Keywords: air diffusers, airlift reactor, bubble column reactor, gas–liquid hydrodynamics, KLa coefficient, plastic media
Even bubble column reactors (BCR) and airlift reactors (ALR) have been developed in terms of various related aspects towards mass transfer enhancement, the effective analysis of gas diffuser types on mass transfer and gas−liquid hydrodynamic characteristics is still limited. Therefore, the present study aims to analyze the relative effect of different types of air diffusers on bubble hydrodynamics and mass transfer performance to understand their behaviors and define the best type. The experiments were conducted by varying different diffuser types, reactor types (BCR and ALR), and superficial gas velocity (Vg) (0.12 to 1.00 cm/s). Five air diffusers including commercial fine sand (F-sand) and coarse sand (C-sand) diffusers, and acrylic perforated diffusers with orifice sizes of 0.3 mm (H-0.3), 0.6 mm (H-0.6), and 1.2 mm (H-1.2), were used in this study. For every condition, it was analyzed in terms of bubble hydrodynamics and oxygen mass transfer coefficient (KLa). Lastly, the selected... [more]
Extraction of Chlorobenzenes and PCBs from Water by ZnO Nanoparticles
Yuntao Zhang, Ran Chen, Jim E. Riviere, Jeffrey Comer
February 23, 2023 (v1)
Subject: Materials
Keywords: mass spectrometry, molecular dynamics simulation, nanoparticles, PCB, zinc oxide
Metal oxide nanoparticles have great potential for selective adsorption and catalytic degradation of contaminants from aqueous solutions. In this study, we employ mass spectrometry and molecular dynamics simulations to better understand the chemical and physical mechanisms determining the affinity of chlorobenzenes and polychlorinated biphenyls (PCBs) for zinc oxide nanoparticles (ZnO NPs). The experiments and simulations both demonstrate that the adsorption coefficients for chlorobenzenes increase steadily with the number of chlorine atoms, while, for PCBs, the relation is more complex. The simulations link this complexity to chlorine atoms at ortho positions hindering coplanar conformations. For a given number of chlorine atoms, the simulations predict decreasing adsorption affinity with increasing numbers of ortho substitutions. Consequently, the simulations predict that some of the highest adsorption affinities for ZnO NPs are exhibited by dioxin-like PCBs, suggesting the possibili... [more]
Application of Copper as Stabiliser in Aluminium Assisted Transfer of Titanium in Submerged Arc Welding of Carbon Steel
Theresa Coetsee, Frederik De Bruin
February 23, 2023 (v1)
Keywords: aluminium, copper, metal powder, oxygen potential, submerged arc welding, titanium
The element transfer of Ti from molten flux to the weld metal is limited to less than 310 ppm Ti in the submerged arc welding of carbon steel. This limitation is due to the high oxygen partial pressure prevailing at the molten flux-weld pool interface. Our previous study illustrated that the use of Al powder in combination with Ti powder improves the transfer of Ti to the weld metal to 4% Ti, whilst maintaining 509 ppm O in the weld metal. The weld metal ppm O should be controlled at 200 to 500 ppm O to maintain weld metal toughness. In this study, the addition of Cu powder with Ti and Al powder is applied to illustrate the stabiliser effect of Cu in the weld pool. The role of Cu as weld pool stabiliser is due to its decrease of the temperature required to melt Ti into the weld pool, so increasing the quantity of metal powder melted into the weld pool. The weld metal composition improved to 5.1% Ti, 3.6% Cu, and 371 ppm O. Thus, the role of Al in controlling the partial oxygen pressure... [more]
Set Membership Estimation with Dynamic Flux Balance Models
Xin Shen, Hector Budman
February 23, 2023 (v1)
Subject: Optimization
Keywords: dynamic flux balance model, multiparametric programming, observability, set membership estimation, variable structure system
Dynamic flux balance models (DFBM) are used in this study to infer metabolite concentrations that are difficult to measure online. The concentrations are estimated based on few available measurements. To account for uncertainty in initial conditions the DFBM is converted into a variable structure system based on a multiparametric linear programming (mpLP) where different regions of the state space are described by correspondingly different state space models. Using this variable structure system, a special set membership-based estimation approach is proposed to estimate unmeasured concentrations from few available measurements. For unobservable concentrations, upper and lower bounds are estimated. The proposed set membership estimation was applied to batch fermentation of E. coli based on DFBM.
Photolithographically Home-Made PVDF Sensor for Cavitation Impact Load Measurement
Jan Hujer, Petra Dančová, Tomáš Kořínek, Miloš Müller
February 23, 2023 (v1)
Subject: Materials
Keywords: cavitation, impact load measurement, photolithography, PVDF sensor
Piezoelectric PVDF sensors offer a unique option for the measurement of cavitation aggressiveness represented by the magnitude of impacts due to cavitation bubble collapses near walls. The aggressiveness measurement requires specific sensor shape and area, whereas commercial PVDF sensors are fabricated in limited geometry and size ranges. The photolithography method offers a possibility of production of home-made PVDF sensors of arbitrary shape and size. The methodology of a unique application of the standard photolithography method, which is commonly used for the production of printed circuit boards, is described in this paper. It enables mass production of high quality sensors contrary to laboratory techniques. This paper deals with the fabrication and the calibration of a photolithographically home-made PVDF sensor for the cavitation impact load measurement. The calibration of sensors was carried out by the ball drop method. Sensors of different sizes were fabricated by the photolit... [more]
Drug Repurposing in Alternative Medicine: Sochehwan, a Polyherbal Traditional Korean Digestant, Protects against Alcoholic Steatohepatitis by Regulating Cytochrome P450 2E1 Expression
Ga-Ram Yu, Seung-Jun Lee, Dong-Woo Lim, Hyuck Kim, Jai-Eun Kim, Won-Hwan Park
February 23, 2023 (v1)
Subject: Biosystems
Keywords: alcoholic liver disease, alcoholic liver injury, CYP2E1, drug repurposing, ER stress, inflammation, MAPKs, Sochehwan
Sochehwan (SCH) is an herbal prescription from traditional oriental medicine and is currently used to treat digestive ailments. In a previous study, SCH was found to have the potential to attenuate metabolic syndrome (MetS) by activating AMPK and downstream signaling. From the view of drug repurposing, the efficacy of SCH on alcoholic liver injury is implied in classic medical texts but is yet to be proven. C57BL/6J mice were pre-treated with SCH orally for 5 days and challenged by providing a pair-fed Lieber DeCarli diet containing alcohol for 20 days. Hepatic enzyme and triglyceride levels and endoplasmic reticulum (ER) stress-related markers were analyzed. Moreover, mitogen-activated protein kinases (MAPKs) and cytochrome P450 2E1 (CYP2E1) levels were determined. CYP2E1-transfected HepG2 cells were used to test the cytoprotective efficacy of SCH against the adverse effects of alcohol in vitro. In mice, SCH administration notably reduced hepatic enzyme activity and neural lipid level... [more]
Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival
Mohd Adil, Jei-Zheng Wu, Ripon K. Chakrabortty, Ahmad Alahmadi, Mohd Faizan Ansari, Michael J. Ryan
February 23, 2023 (v1)
Keywords: BiLSTM, forecasting, LSTM, Machine Learning, SII index, tourist arrival
Tourism makes a significant contribution to the economy of almost every country, so accurate demand forecasting can help in better planning for the government and a range of stakeholders involved in the tourism industry and can aid economic sustainability. Machine learning models, and in particular, deep neural networks, can perform better than traditional forecasting models which depend mainly on past observations (e.g., past data) to forecast future tourist arrivals. However, search intensities indices (SII) indicators have recently been included as a forecasting model, which significantly enhances forecasting accuracy. In this study, we propose a bidirectional long short-term memory (BiLSTM) neural network to forecast the arrival of tourists along with SII indicators. The proposed BiLSTM network can remember information from left to right and right to left, which further adds more context for forecasting in memory as compared to a simple long short- term memory (LSTM) network that c... [more]
Feature Selection and Uncertainty Analysis for Bubbling Fluidized Bed Oxy-Fuel Combustion Data
Katerina Marzova, Ivo Bukovsky
February 23, 2023 (v1)
Keywords: Boruta Feature Selection Algorithm, Multiscale False Neighbours Analysis, oxy-fuel combustion
This paper presents a novel feature extraction and validation technique for data-driven prediction of oxy-fuel combustion emissions in a bubbling fluidized bed experimental facility. The experimental data were analyzed and preprocessed to minimize the size of the data set while preserving patterns and variance and to find an optimal configuration of the feature vector. The Boruta Feature Selection Algorithm (BFSA) finds feature vector’s configuration and the Multiscale False Neighbours Analysis (MSFNA) is newly extended and proposed to validate the BFSA’s design for emission prediction to assure minimal uncertainty in mapping between feature vectors and corresponding outputs. The finding is that the standalone BFSA does not reflect various sampling period setups that appeared significantly influencing the false neighborhood in the design of feature vectors for possible emission prediction, and MSFNA resolves that.
Estimation of Gene Regulatory Networks from Cancer Transcriptomics Data
Seong Beom Cho
February 23, 2023 (v1)
Subject: Biosystems
Keywords: cancer, gene regulatory network, transcriptomics
Cancer is a genetic disease in which multiple genes are perturbed. Thus, information about the regulatory relationships between genes is necessary for the identification of biomarkers and therapeutic targets. In this review, methods for inference of gene regulatory networks (GRNs) from transcriptomics data that are used in cancer research are introduced. The methods are classified into three categories according to the analysis model. The first category includes methods that use pair-wise measures between genes, including correlation coefficient and mutual information. The second category includes methods that determine the genetic regulatory relationship using multivariate measures, which consider the expression profiles of all genes concurrently. The third category includes methods using supervised and integrative approaches. The supervised approach estimates the regulatory relationship using a supervised learning method that constructs a regression or classification model for predic... [more]
Optimizing Uniaxial Oil Extraction of Bulk Rapeseeds: Spectrophotometric and Chemical Analyses of the Extracted Oil under Pretreatment Temperatures and Heating Intervals
Cimen Demirel, Abraham Kabutey, David Herák, Petr Hrabě, Čestmír Mizera, Oldřich Dajbych
February 23, 2023 (v1)
Keywords: Box–Behnken design, chemical properties, linear compression, oil-bearing crop, spectral profiles
Optimizing the operating factors in edible oil extraction requires a statistical technique such as a response surface methodology for evaluating their effects on the responses. The examined input factors in this study were the diameter of pressing vessel, VD (60, 80, and 100 mm), temperature, TPR (40, 60, and 80 °C), and heating time, HTM (30, 60 and 90 min). The combination of these factors generated 17 experimental runs where the mass of oil, oil yield, oil extraction efficiency, and deformation energy were calculated. Based on the response surface regression analysis, the combination of the optimized factors was VD: 100 (+1) mm; TPR: 80 °C (+1) and HTM: 60 (0) min); VD: 60 (−1) mm; TPR: 80 °C (+1) and HTM: 75 (+0.5) min and VD: 100 (+1) mm; TPR: 80 °C (+1) and HTM: 90 (+1). The absorbance and transmittance values significantly (p < 0.05) correlated with the wavelength and temperature, but they did not correlate significantly (p > 0.05) with heating time. The peroxide value did not c... [more]
Investigation of Thermal Radiation from Soot Particles and Gases in Oxy-Combustion Counter-Flow Flames
Chaoyang Wang, Guangtong Tang, Huibo Yan, Lujiang Li, Xiaopei Yan, Zhicong Li, Chun Lou
February 23, 2023 (v1)
Keywords: flame structure, oxy-combustion, radiation, recycled flue gas, temperature distribution
Oxy-combustion with high flame temperature, low heat loss, high combustion efficiency, and low NOx emissions is being extensively studied. The thermal radiation from soot particles and gases in oxy-combustion accounts for the vast majority of the total heat transfer. Based on a detailed chemical reaction mechanism coupled with the soot particle dynamics model and optically thin radiation model, the influence of the flame structure and temperature distribution on the thermal radiation in oxygen-enriched counterflow diffusion flames was studied in this paper. The results revealed that reasonable assignment of total recycled flue gas and the degree of dilution of fuel and oxidant were critical, which can be used to adjust the overall radiation situation of the flame. At the same adiabatic flame temperature, as the fuel concentration decreased and the oxidant concentration increased (the stoichiometric mixture ratio is from 0.3 to 0.6), the soot formation decreased, which led to the partic... [more]
Study of Heavy Gas Pollutants’ Dispersion in Street Canyon Terrain
Xiaoye Nie, Yuyan Fan, Hong Gao, Qiang Lin
February 23, 2023 (v1)
Keywords: CFD simulation, heavy gas, pollutant dispersion, safety, wind tunnel
This study focused on heavy gas dispersion under the terrain conditions of street canyons. The effects of street aspect ratio and height ratio were investigated, and the influence of environmental wind speed in the typical ideal street canyon terrain was explored. The results indicated that the surrounding flow field distributions in street terrains were dominated by higher buildings. In addition, when the building height was held constant, the flow field was affected by the joint influence of the two isolated buildings. The interception effect of the street canyon on upstream pollutants declined with the decrease in the street canyon’s aspect ratio. In addition, when the height ratios were different, a large quantity of upstream pollutants accumulated on the windward side of higher buildings. The relative concentration per unit area inside the canyon was affected by the air circulation inside and outside the canyon and the size of the dispersion space. The increase in the environmenta... [more]
Analysis of Peukert and Liebenow Equations Use for Evaluation of Capacity Released by Lithium-Ion Batteries
Nataliya N. Yazvinskaya, Nikolay E. Galushkin, Dmitriy V. Ruslyakov, Dmitriy N. Galushkin
February 23, 2023 (v1)
Keywords: capacity, Liebenow equation, lithium-ion battery, Peukert equation
The Peukert and Liebenow equations were obtained from experimental studies of lead−acid batteries. Currently, they are used to evaluate capacity released by batteries of other electrochemical systems (alkaline, lithium-ion, etc.), as well. In this paper, it is experimentally proved that for lithium-ion batteries, the Peukert equation can be used in two intervals of the discharge currents. The first interval includes currents from 0.2Cn up to the first inflection point of the experimental function of the battery capacity dependence on the discharge currents C(i). The second interval covers currents from the second inflection point of the experimental function C(i) up to the maximum currents that were used in the experiments. For some lithium-ion batteries, the range of low discharge currents, where the Peukert equation is applicable, is quite large and often completely covers the range of the discharge currents used in practice for these batteries. Therefore, many authors, when estimati... [more]
Electrochemical Microslot Machining by Ultrasonic-Vibration-Aided Electrolyte on Nitinol Wire
Jung-Chou Hung, Po-Jen Yang
February 23, 2023 (v1)
Keywords: microslot, Nitinol, ultrashort pulse, ultrasonic-vibration-aided electrolyte, wire ECM
In this research, the main purpose was to study the applicability of a machining method on microscale medical-equipment manufacturing. The characteristics of wire electrochemical micromachining (WECMM) against NiTi 50-50 wire was investigated. The study utilized a tungsten wire 0.03 mm in diameter as an electrode to cut a fine slot into the nickel−titanium wire. In order to reach a high-precision WECMM finish, an ultrashort pulse power generator was used as a power source to minimize the stray current effect, thus improving the machining accuracy. During the process, various machining parameters were tested for their effects on machining characteristics. In addition, ultrasonic-vibration-aided WECMM was investigated to determine whether it benefited the machining characteristics. The experiment’s results showed that under such an experiment setting, microslots can be successfully manufactured. Furthermore, with the advance adjustment of experimental parameters, the machining accuracy w... [more]
Imbalanced Fault Diagnosis of Rotating Machinery Based on Deep Generative Adversarial Networks with Gradient Penalty
Junqi Luo, Liucun Zhu, Quanfang Li, Daopeng Liu, Mingyou Chen
February 23, 2023 (v1)
Keywords: convolutional neural network, fault diagnosis, generative adversarial networks, imbalance data
In practical industrial application, the fault samples collected from rotating machinery are frequently unbalanced, which will create difficulties when it comes to diagnosis. Besides, the variation of working conditions and noise factors will further reduce the diagnosis’s accuracy and stability. Considering the above problems, we established a model based on deep Wasserstein generative adversarial network with gradient penalty (DWGANGP). In this model, the unbalanced fault data set will first be trained by the sample generation network to generate synthetic samples, which will be used to restore the balance. A one-dimensional convolutional neural network with a specific structure is then used as the fault diagnosis network to classify the reconstructed equilibrium samples. The experimental results show that the proposed sample generation network can generate high-quality synthetic samples under highly imbalanced data, and the diagnostic network has a fast training convergence. Compare... [more]
Electrochemical Performance of Aluminum Doped Ni1−xAlxCo2O4 Hierarchical Nanostructure: Experimental and Theoretical Study
Deepa Guragain, Romakanta Bhattarai, Jonghyun Choi, Wang Lin, Ram Krishna Gupta, Xiao Shen, Felio A. Perez, Sanjay R. Mishra
February 23, 2023 (v1)
Subject: Materials
Keywords: cyclic voltammetry, electrochemical, hydrothermal, Ni1−xAlxCo2O4, the specific capacitance
For electrochemical supercapacitors, nickel cobaltite (NiCo2O4) has emerged as a new energy storage material. The electrocapacitive performance of metal oxides is significantly influenced by their morphology and electrical characteristics. The synthesis route can modulate the morphological structure, while their energy band gaps and defects can vary the electrical properties. In addition to modifying the energy band gap, doping can improve crystal stability and refine grain size, providing much-needed surface area for high specific capacitance. This study evaluates the electrochemical performance of aluminum-doped Ni1−xAlxCo2O4 (0 ≤ x ≤ 0.8) compounds. The Ni1−xAlxCo2O4 samples were synthesized through a hydrothermal method by varying the Al to Ni molar ratio. The physical, morphological, and electrochemical properties of Ni1−xAlxCo2O4 are observed to vary with Al3+ content. A morphological change from urchin-like spheres to nanoplate-like structures with a concomitant increase in the... [more]
Interactive Mechanism of Potential Inhibitors with Glycosyl for SARS-CoV-2 by Molecular Dynamics Simulation
Yuqi Zhang, Li Chen, Xiaoyu Wang, Yanyan Zhu, Yongsheng Liu, Huiyu Li, Qingjie Zhao
February 23, 2023 (v1)
Keywords: Cefuroxime, Erythromycin, glycosyl, hydrophobic interactions, Lincomycin, molecular dynamics simulation, Ofloxacin, S_RBD, π-π stacking interactions
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a type of Ribonucleic Acid (RNA) coronavirus and it has infected and killed many people around the world. It is reported that the receptor binding domain of the spike protein (S_RBD) of the SARS-CoV-2 virus is responsible for attachment to human angiotensin converting enzyme II (ACE2). Many researchers are attempting to search potential inhibitors for fighting SARS-CoV-2 infection using theoretical or experimental methods. In terms of experimental and theoretical research, Cefuroxime, Erythromycin, Lincomycin and Ofloxacin are the potential inhibitors of SARS-CoV-2. However, the interactive mechanism of the protein SARS-CoV-2 and the inhibitors are still elusive. Here, we investigated the interactions between S_RBD and the inhibitors using molecular dynamics (MD) simulations. Interestingly, we found that there are two binding sites of S_RBD for the four small molecules. In addition, our analysis also illustrated that hydro... [more]
An Effective New Treatment of Fluoride-Containing Sludge Resulting from the Manufacture of Photovoltaic Cells
Svetlana Zueva, Francesco Ferella, Valentina Corradini, Elena V. Baturina, Nicolò M. Ippolito, Francesco Vegliò
February 23, 2023 (v1)
Keywords: fluoride-containing sludge, non-hazardous waste, precipitation
The circular economy and maximization of environmental sustainability are increasingly becoming the vision and mission of companies competing in present-day global markets. In particular, in the energy sector, the transition from fossil fuels to renewable sources of energy has become the widespread mantra. One typical example is the deployment of devices which produce clean energy, such as solar photovoltaic panels and solar thermal panels, wind generators, tidal stream generators, wave power generators, etc. These are undoubtedly generating clean energy, but their manufacture creates hazardous by-products, the disposal of which results in increased environmental pollution. Chemical Vapor Deposition (CVD) is widely used in manufacturing of solar photovoltaic cells. In these processes, typically, crystalline silicon is precipitated from chlorosilanes, iodides, bromides and fluorides. Polluting by-products include deposition of a silicon film, formation of SiO2 powder and formation of to... [more]
Impact Factors Analysis of Diesel Particulate Filter Regeneration Performance Based on Model and Test
Xiuyong Shi, Degang Jiang, Qiwei Wang, Yunfang Liang
February 23, 2023 (v1)
Keywords: bench test, diesel engine, Simulation, soot loading quantity
In the application of DPFs (diesel particulate filters), temperature prediction and control technology during the regeneration phase has always been a great challenge, which directly affects the safety and performance of diesel vehicles. In this study, based on theoretical analysis and sample gas bench test results, a one-dimensional simulation model is built with GT-POWER software. The effects of soot loading quantity and oxygen concentration on regeneration temperature performance are studied. Simulation results show that, when the soot loading quantity exceeds 46 g (12.7 g/L), the maximum temperature inside DPF during the regeneration phase would be higher than 800 °C, and the risk of burning crack would be high. When the oxygen concentration in the exhaust gas is low (lower than 7%), the fuel injected into exhaust gas fails to give off enough heat, and the exhaust gas temperature fails to reach the target regeneration temperature, hydrocarbon emission could be found from the DPF ou... [more]
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