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Showing records 36925 to 36949 of 43292. [First] Page: 1 1474 1475 1476 1477 1478 1479 1480 1481 1482 Last
A Novel MPPT Heating Control Strategy Applied to the Induction Heating System
Yu-Lin Lee, Chang-Hua Lin, Hwa-Dong Liu
February 21, 2023 (v1)
Keywords: full-bridge series resonant circuit, hill-climbing algorithm, induction heating, maximum power-point tracking heating technology
This study proposes an induction heating system with maximum power-point tracking (MPPT) control strategy. The system architecture adopts a 1.3 kW full-bridge series resonant circuit with a step-down transformer and adjusts the operating frequency by a microcontroller unit to improve the heating efficiency. Secondly, the proposed MPPT control strategy based on induction heating uses the relationship between the operating frequency and the system heating temperature to find the operating frequency corresponding to the maximum power point (MPP) quickly. Then, an additional hill-climbing algorithm adjusting the duty cycle is applied to reach the duty cycle corresponding to the MPP. Under the simulation and actual experimental measurement, the traditional control strategy has 76% and 68% at 500 and 750 degrees, respectively, and it takes 320 s for the system to reach 750 degrees. By contrast, the proposed MPPT control strategy achieves 96% efficiency when the system heating temperature is... [more]
Optimization of Hemp Bast Microfiber Production Using Response Surface Modelling
Jessica Tsakani Mhlongo, Yannick Nuapia, Boitumelo Tlhaole, Oranso Themba Mahlangu, Anita Etale
February 21, 2023 (v1)
Keywords: cellulose, cellulose microfibers, central composite design, Optimization, response contour plots, response surface methodology, response surface plots
Non-wood biomass is particularly attractive as a cellulose source because of the lower lignin content. However, optimal cellulose extraction conditions are required as lignin content varies between plant sources. Further, the use of organic acids in place of harsh mineral acids is of interest in “greening” the cellulose production process. This study sought to establish optimum parameters for the extraction of cellulose microfibers (CMFs) from hemp (Cannabis sativa) biomass, using maleic and formic acids. Hemp fibers were pre-treated in NaOH (4 wt%) and aqueous chlorite in acetate buffer before ultrasonic treatment to break down bundles. The CMFs produced were compared with those generated from sulfuric acid hydrolysis. Response surface methodology (RSM) was used to determine combinations of three processing conditions, including acid concentration (45−64%), hydrolysis time (30−90 min), and temperature (45−65 °C). A central composite design (RSM-CCD) model with 21 experimental runs was... [more]
Numerical Study on Primary Breakup of Disturbed Liquid Jet Sprays Using a VOF Model and LES Method
Zhenming Liu, Ziming Li, Jingbin Liu, Jiechang Wu, Yusong Yu, Jiawei Ding
February 21, 2023 (v1)
Keywords: large-eddy simulation (LES), ligament, primary breakup, spray, surface wave, volume of fluid (VOF)
In this study, the primary breakup of a high-speed diesel jet is investigated using a CFD methodology that combines an LES model with a VOF technique for free surface capture. Inner-nozzle turbulence and cavitation are simplified as the sinusoidal radial velocity with a given amplitude and frequency. The ligament and droplet formation process are captured, the liquid jet is disturbed by the radial velocity, and umbrella-shaped crests are created. Meanwhile, ligaments are formed from the edges of crests because of shear stress and surface tension. We investigate the effect on the characteristics of the surface wave and the liquid structure of different disturbance frequencies and amplitudes. The variation in the disturbance amplitude and frequency facilitates the formation of a variety of liquid structures, such as waves, upstream/downstream-directed bells, and droplet chains. Increasing the disturbance frequency reduces the growth rate of the surface waves of the liquid jet. With an in... [more]
Biochar Effect on the Benzo[a]pyrene Degradation Rate in the Cu Co-Contaminated Haplic Chernozem under Model Vegetation Experiment Conditions
Svetlana Sushkova, Tatiana Minkina, Tamara Dudnikova, Andrey Barbashev, Elena Antonenko, Natalia Chernikova, Anatoly Barakhov, Evgeny Shuvaev, Gulnora Bakoeva, Olga Nazarenko, Waseem Mushtaq
February 21, 2023 (v1)
Subject: Environment
Keywords: barley, benzo[a]pyrene, combined soil pollution, copper oxide (II), Haplic Chernozem, model experiment, PAHs, soil, tomato
The research of the fundamentals of the behavior of behavior in the soil−plant system during their co-contamination is of high interest because of the absence of technologies for the creation of effective, environmentally friendly and cost-effective remediation methods, as well as integrated systems for predicting the quality of soils co-contaminated with HMs and PAHs. The unique model vegetation experiment was studied with Haplic Chernozem contaminated by one of the priority organic toxicants, benzo[a]pyrene (BaP), applied alone and co-contaminated with Cu with the subsequent vegetation of tomato (Solanum lycopersicum) and spring barley plants (Hordeum sativum Distichum). Biochar obtained from sunflower husks was used as a sorbent for the remediation of the contaminated soil. It was established that by increasing the BaP amount applied to the soil, the rate of BaP degradation improved. The effect was enhanced in the presence of biochar and decreased in the case of joint co-contaminati... [more]
Process Study and Simulation for the Recovery of 1,1,2,2,3,3,4−heptafluorocyclopentane by Reactive Distillation
Yue Mo, Li Dong, Chengping Zhang, Hengdao Quan
February 21, 2023 (v1)
Keywords: 1,1,2,2,3,3,4−heptafluorocyclopentane, azeotropic cleaning agent, Reactive Distillation, steady state simulation
In view of the problem that 1,1,2,2,3,3,4−heptafluorocyclopentane (F7A) is difficult to separate and recover when mixed with tert−amyl alcohol (TAA) for further application, leading to high cost, we designed a reactive distillation process, and conducted experimental research on the recycle effect of F7A, aiming to recycle F7A with high purity and yield from the used compound cleaning agents, thereby greatly reducing the cost. With zinc chloride as the catalyst, the dehydration reaction of TAA was carried out and the reaction kinetics were measured. Besides, the reaction kinetic equation was obtained by the correlation of experimental data. Investigations were also conducted on the effects of catalyst amount, reaction temperature, and reflux ratio on the conversion of TAA and the recovery of F7A. Based on the reaction kinetics and process optimization, the reactive distillation process for recovery of F7A was simulated to analyze the effects of stage number, feed stage, reflux ratio, a... [more]
Assessing the Risk of Hazards with Multidimensional Consequences for Industrial Processes
Zuzhen Ji, Hongxin Su, Yuchen Wang, Yi Cao, Shuanghua Yang
February 21, 2023 (v1)
Keywords: hazards with multidimensional consequences, process safety, risk assessment, risk measuring instrument
Risk assessment plays an important role in process safety. The result of the assessment is used to determine risk priorities and then develop preventions to reduce risks. A hazard may have multidimensional consequences, including loss of health and safety, asset loss, and environmental damage. Traditionally, these multidimensional consequences are often measured disjointedly. A comprehensive risk assessment would be conducted by many professionals from multiple areas. Each of these professionals uses different indicators to evaluate risks. The poor integration among risk indicators further confuses managers in the risk resilience and prevention development. In addition, this lacks a solid method for assessing the risk of hazards that with multidimensional consequences. The aim of the work is to develop a risk-measuring instrument using a newly proposed approach, the Risk Assessment for Hazards with Multidimensional Consequences (RAMC), which is developed based on the theory of quality... [more]
Thermochemical Analysis of a Packed-Bed Reactor Using Finite Elements with FlexPDE and COMSOL Multiphysics
Sebastian Taco-Vasquez, César A. Ron, Herman A. Murillo, Andrés Chico, Paul G. Arauz
February 21, 2023 (v1)
Keywords: Fischer-Tropsch Synthesis, heat transfer, kinetics, multi-dimensional CFD modeling, reactor modeling, solid catalysts
This work presents the thermochemical analysis of a packed-bed reactor via multi-dimensional CFD modeling using FlexPDE and COMSOL Multiphysics. The temperature, concentration, and reaction rate profiles for methane production following the Fischer−Tropsch (F-T) synthesis were studied. To this end, stationary and dynamic differential equations for mass and heat transfer were solved via the finite element technique. The transport equations for 1-D and 2-D models using FlexPDE consider dispersion models, where the fluid and the catalyst can be treated as either homogeneous or heterogenous systems depending on the gradient extents. On the other hand, the 3-D model obtained in COMSOL deems the transport equations incorporated in the Porous Media module. The aim was to compare the FlexPDE and COMSOL models, and to validate them with experimental data from literature. As a result, all models were in good agreement with experimental data, especially for the 2-D and 3-D dynamic models. In term... [more]
A Homotopy Method for the Constrained Inverse Problem in the Multiphase Porous Media Flow
Tao Liu, Kaiwen Xia, Yuanjin Zheng, Yanxiong Yang, Ruofeng Qiu, Yunfei Qi, Chao Liu
February 21, 2023 (v1)
Keywords: constraints, homotopy method, inverse problem, multiphase porous media flow
This paper considers the constrained inverse problem based on the nonlinear convection-diffusion equation in the multiphase porous media flow. To solve this problem, a widely convergent homotopy method is introduced and proposed. To evaluate the performance of the mentioned method, two numerical examples are presented. This method turns out to have wide convergence region and strong anti-noise ability.
Coal Mine Personnel Safety Monitoring Technology Based on Uncooled Infrared Focal Plane Technology
Kaifeng Huang, Ruihong Zhou, Yan Li, Litong Dou, Xing Zhang, Juqiang Feng
February 21, 2023 (v1)
Keywords: coal mine safety, image recognition, infrared detection, uncooled
In an effort to overcome the difficulty of real-time early warning via traditional infrared imaging technology caused by the complex working environment in coal mines, this paper proposes a mine early warning method based on uncooled infrared focal plane technology. The infrared thermal spectrogram of the detected object was visually displayed in a pseudo-color image with high resolution and high sensitivity, which can realize the real-time detection and early warning of personnel safety in modern mines. The multipoint compression correction algorithm based on human visual characteristics divided the response units of all acquisition units into gray intervals according to a threshold value, then the corresponding parameters were set in different intervals, and finally, each interval was compressed using a two-point correction algorithm. The volume of stored data was the sum of the calibration curve and the data from an encode table corrected by a MATLAB simulation, and the number of CP... [more]
A Machine Learning Approach for Predicting the Maximum Spreading Factor of Droplets upon Impact on Surfaces with Various Wettabilities
Moussa Tembely, Damien C. Vadillo, Ali Dolatabadi, Arthur Soucemarianadin
February 21, 2023 (v1)
Keywords: analytical models, drop impact, Machine Learning, maximum spreading diameter, scaling laws
Drop impact on a dry substrate is ubiquitous in nature and industrial processes, including aircraft de-icing, ink-jet printing, microfluidics, and additive manufacturing. While the maximum spreading factor is crucial for controlling the efficiency of the majority of these processes, there is currently no comprehensive approach for predicting its value. In contrast to the traditional approach based on scaling laws and/or analytical models, this paper proposes a data-driven approach for estimating the maximum spreading factor using supervised machine learning (ML) algorithms such as linear regression, decision tree, random forest, and gradient boosting. For this purpose, a dataset of hundreds of experimental results from the literature and our own—spanning the last thirty years—is collected and analyzed. The dataset was divided into training and testing sets, each representing 70% and 30% of the input data, respectively. Subsequently, machine learning techniques were applied to relate th... [more]
Co-Treatment of Landfill Leachate and Liquid Fractions of Anaerobic Digestate in an Industrial-Scale Membrane Bioreactor System
Nitesh Babu Annepogu, Pascal F. Beese-Vasbender, Himanshu Himanshu, Christian Wolf, Astrid Rehorek
February 21, 2023 (v1)
Keywords: C/N ratio, denitrification, landfill leachate, liquid fractions of anaerobic digestate, membrane bioreactor, nitrification, operational resources, selective oxygen uptake rate
The management of the liquid fraction of digestate produced from the anaerobic digestion of biodegradable municipal solid waste is a difficult affair, as its land application is limited due to high ammonium concentrations and the municipal waste that water treatment plants struggle to treat due to high pollutant loads. The amount of leachate and the pollutant load in the leachate produced by landfills usually decreases with the time, which increases the capacity of landfill leachate treatment plants (LLTPs) to treat additional wastewater. In order to solve the above two challenges, the co-treatment of landfill leachate and the liquid fraction of anaerobic digestate in an industrial-scale LLTP was investigated along with the long-term impacts of the liquid fraction of anaerobic digestate on biocoenosis and its impact on LLTP operational expenses. The co-treatment of landfill leachate and liquid fraction of anaerobic digestate was compared to conventional leachate treatment in an industr... [more]
Calculation Model of the Effect of Periodic Change of Normal Force on Sliding Friction Characteristics between the Planes
Yongwang Liu, Yanan Liu, Zhichuan Guan, Yixiang Niu
February 21, 2023 (v1)
Keywords: displacement amplitude, friction change, normal force, sliding friction, vibration drag reduction
How to reduce the friction resistance between two planes is a difficult problem that has been studied in the field of tribology. Aiming at this problem, the concept of reducing the friction resistance by exciting the periodic change of normal force between the planes is proposed. A calculation model of the displacement amplitude distribution of the plate is established based on the principle of reciprocity of work, and the influence of the periodic change of normal force on sliding friction between the planes is studied. Additionally, an experimental device for analysis of friction between the planes under the periodic change of normal force is established. The calculation model of the plate’s displacement amplitude distribution considering the change frequency of normal force is verified and modified by experiments. The research results mainly show two aspects. On the one hand, the calculation model of the displacement amplitude distribution of the plate is in good agreement with the... [more]
Forecasting Oil Production Flowrate Based on an Improved Backpropagation High-Order Neural Network with Empirical Mode Decomposition
Joko Nugroho Prasetyo, Noor Akhmad Setiawan, Teguh Bharata Adji
February 21, 2023 (v1)
Keywords: empirical mode decomposition, higher-order neural network, Machine Learning, multi-layer multi-valued neural network, oil production forecasting, time series
Developing a forecasting model for oilfield well production plays a significant role in managing mature oilfields as it can help to identify production loss earlier. It is very common that mature fields need more frequent production measurements to detect declining production. This study proposes a machine learning system based on a hybrid empirical mode decomposition backpropagation higher-order neural network (EMD-BP-HONN) for oilfields with less frequent measurement. With the individual well characteristic of stationary and non-stationary data, it creates a unique challenge. By utilizing historical well production measurement as a time series feature and then decomposing it using empirical mode decomposition, it generates a simpler pattern to be learned by the model. In this paper, various algorithms were deployed as a benchmark, and the proposed method was eventually completed to forecast well production. With proper feature engineering, it shows that the proposed method can be a p... [more]
Relationship between Some Colloidal Properties of Non-Ionic-Anionic Surfactant Mixtures
Roland Nagy, Réka Kothencz, Máté Hartyányi, László Bartha
February 21, 2023 (v1)
Subject: Materials
Keywords: emulsification capacity, HLB value, interfacial tension, particle size, surfactants
Non-ionic surfactants are compatible with different types of materials, therefore they can be applied in various packages. Fatty-acid derivates as non-ionic surfactants and their mixtures were investigated to study their colloidal behavior. The HLB value, the particle size, the emulsification capacity and the interfacial tension of various commercial, non-ionic surfactants, and their mixtures with sodium lauryl-ether-sulfate (SLES), were determined. The surfactant mixtures were prepared in different non-ionic: anionic surfactant ratios to examine their effect on several surfactant characteristics. The interfacial tension between the oil phase and aqueous phase was measured using the spinning drop method and the average hydrodynamic diameter of surfactants in the aqueous solution was determined using the dynamic light scattering method. The relationship between various colloidal properties of surfactants was investigated. It was found that there is a significant relationship between the... [more]
Effects of Tetracycline and Copper on Water Spinach Growth and Soil Bacterial Community
Jiadan Tao, Jiayu Wang, Xiongkai Zheng, Aiping Jia, Mengyao Zou, Jinlian Zhang, Xueqin Tao
February 21, 2023 (v1)
Keywords: antioxidant enzymes, copper, microbial community, tetracycline, water spinach
The effects of tetracycline (TC) and copper (Cu) on the growth of water spinach and the bacterial community structure in soil were examined in this study. The results revealed that a single Cu treatment decreased water spinach development more severely than TC, and that the toxic effects of TC and Cu on water spinach were synergistic at low doses and antagonistic at high concentrations. The single Cu treatment had the largest influence on the activities of three antioxidant enzymes (Superoxide Dismutase (SOD), Peroxidase (POD), Catalase (CAT)) and the content of Malondialdehyde (MDA) in water spinach leaves, followed by the TC and Cu composed treatment, with the single TC treatment having the least effect. The results of 16Sr RNA sequence analysis showed that the richness and diversity of soil bacterial communities were reduced by either a single TC or Cu treatment. Cu had a greater effect on the composition of the microbial community at genus level than TC. In conclusion, Cu had a gre... [more]
Treatment of Chromium Removal Wastewater from Tanning by a New Coupling Technology
Zilong Liu, Ming Lei, Guopeng Chen, Junsheng Yuan
February 21, 2023 (v1)
Keywords: chemical flocculation, chromium removal wastewater from tanning, electrodialysis, nanofiltration, ultrafiltration
In this study, the coupling process of flocculation and membrane separation was used to treat tannery chromium removal wastewater, and the experimental results of the different process operating conditions were investigated to optimize the entire process design. First, the wastewater was pretreated by flocculation ultrafiltration (UF), and the produced water could directly enter nanofiltration (NF) for concentration treatment. The removal rates of turbidity, chroma, and chemical oxygen demand (COD) of the pretreated wastewater were 96.5%, 53.7%, and 45.8%, respectively. Then, NF multistage treatment was used to control the freshwater recovery rate to 90%, where the salt content of the primary freshwater was 200−500 mg·L−1, and the salt content of the secondary freshwater was 800−1000 mg·L−1, which all met the reuse standards of the factory. The total dissolved solids (TDS) and COD of the concentrated wastewater were 44,000−46,000 mg·L−1 and 10,000−13,000 mg·L−1, respectively. Finally,... [more]
Optimization of Sporulation Conditions for Bacillus subtilis BSNK-5
Zhiliang Tian, Lizhen Hou, Miao Hu, Yaxin Gao, Danfeng Li, Bei Fan, Fengzhong Wang, Shuying Li
February 21, 2023 (v1)
Subject: Optimization
Keywords: Bacillus subtilis, fermentation medium, Optimization, sporulation rate
spores have important biological applications; however, high spore-cell densities and sporulation efficiencies in fermentation is poorly reported. This study systematically analyzed the spore densities and formation efficiency of B. subtilis BSNK-5 in different culture substrates. A response surface regression equation was established based on the results of single factor and Box−Behnken experimental designs. The optimal medium formulation, as predicted from the equation, consisted of soluble starch at 3 g·L−1, soybean flour at 12 g·L−1, and MgSO4 at 5 g·L−1. The spore yield reached 2.43 × 109 CFU·mL−1, and the sporulation rate was 83.3%, which was nearly three times higher than before optimization using an optimized medium at 36 °C and 200 rpm for 60 h.
Characteristics of Evaporating Spray for Direct Injection Methanol Engine: Comparison between Methanol and Diesel Spray
Yang Wang, Pengbo Dong, Wuqiang Long, Jiangping Tian, Fuxing Wei, Qianming Wang, Zechuan Cui, Bo Li
February 21, 2023 (v1)
Keywords: evaporating spray, methanol engine, methanol high-pressure injection, methanol spray, optical diagnostics
In the context of global efforts to pursue carbon neutrality, the research on the application technology of methanol fuel in internal combustion engines has ushered in a new peak. In order to provide a theoretical basis for the development of direct injection methanol engines, the spray characteristics of methanol with high-pressure direct injection were studied. Based on the visualization experimental device of constant volume vessels, the diffused background-illumination extinction imaging (DBI) and schlieren methods were applied to examine the distinctions in the evaporating spray properties between methanol and diesel under different injection pressures and ambient temperature conditions. Furthermore, aiming to maximize the potential of methanol fuel in compression ignition engines, under the premise that the alternative fuel can obtain the same total fuel energy as diesel, two different injection strategies of methanol were proposed and evaluated through the coordination of the no... [more]
Implementation of the Non-Associated Elastoplastic MSDPu Model in FLAC3D and Application for Stress Analysis of Backfilled Stopes
Feitao Zeng, Li Li, Michel Aubertin, Richard Simon
February 21, 2023 (v1)
Keywords: 3D nonlinear yield criterion, backfill, circular opening, elastoplastic model, FLAC3D, numerical modeling
The multiaxial Mises-Schleicher and Drucker-Prager unified (MSDPu) criterion has been shown to exhibit several specific features compared to other yield and failure criteria, including a nonlinear mean stress dependency, influence of the Lode angle, use of independent uniaxial compressive and tensile strength values and absence of an apex (singularity) on the envelope surface in the negative stress quadrant. However, MSDPu has been seldom used in practice to solve geotechnical and geomechanical engineering problems mainly because it had not yet been fully implemented into three-dimensional (3D) numerical codes. To fill this gap, a 3D elastoplastic MSDPu formulation is developed and implemented into FLAC3D. The proposed MSDPu elastic-perfectly plastic (EPP) constitutive model is then validated against existing analytical solutions developed for calculating the stress and displacement distributions around cylindrical openings. The FLAC3D MSDPu-EPP model is then applied to evaluate the ve... [more]
On Reassessment of the HWMA Chart for Process Monitoring
Muhammad Riaz, Shabbir Ahmad, Tahir Mahmood, Nasir Abbas
February 21, 2023 (v1)
Keywords: exponentially weighted moving average chart, homogeneously weighted moving average chart, steady state, zero state
In the recent literature of process monitoring, homogeneously weighted moving average (HWMA) type control charts have become quite popular. These charts are quite efficient for early detection of shifts, especially of smaller magnitudes, in process parameters such as location and dispersion. A recent study pointed out a few concerns related to HWMA charts that mainly relate to its steady-state performance. It needs to be highlighted that the initial studies on HWMA focused only on the zero-state performance of the chart relative to other well-known memory charts. This study reinvestigates the performance of the HWMA chart under zero and steady states at various shifts. Using the Monte Carlo simulation method, a detailed comparative analysis of the HWMA chart is carried out relative to the exponentially weighted moving average (EWMA) chart with time-varying limits. For several values of design parameters, the in-control and out-of-control performance of these charts is evaluated in term... [more]
Purification and Identification of an ACE-Inhibitory Peptide from Gracilaria tenuistipitata Protein Hydrolysates
Yu-Jhen Su, Hung-Ju Liao, Jing-Iong Yang
February 21, 2023 (v1)
Subject: Biosystems
Keywords: ACE inhibitory activity, Gracilaria tenuistipitata, hypertension, protein hydrolysate
Edible marine species are valuable sources of bioactive peptides. This study investigated the ACE-inhibitory activity of protein hydrolysates from the red algae Gracilaria tenuistipitata. Fifteen groups of protein hydrolysates were prepared by a two-step enzymatic hydrolysis of G. tenuistipitata: initial hydrolysis with several glycolytic enzymes, followed by three separate proteolytic reactions (Alcalase, Neutrase and Flavourzyme) for 2−10 h. Results showed that the hydrolysate GTN4H had the highest ACE-inhibitory activity in vitro. Furthermore, oral administration of GTN4H significantly reduced systolic blood pressure in spontaneously hypertensive rats. Fraction A derived from GTN4H displayed the highest ACE-inhibitory activity among fractions. Further purification of fraction A by RP-HPLC obtained a purified peptide (MW: 1776 Da) with 17 amino acids and 95.4% ACE-inhibitory activity.
Effects of Phosphate, Red Mud, and Biochar on As, Cd, and Cu Immobilization and Enzymatic Activity in a Co-Contaminated Soil
Di Zhang, Kaihong Yan, Yanju Liu, Ravi Naidu
February 21, 2023 (v1)
Subject: Environment
Keywords: amendments, bioavailability, enzyme activity, heavy metals, immobilization
Arsenic (As), cadmium (Cd), and copper (Cu) are the primary inorganic pollutants commonly found in contaminated soils. The simultaneous stabilization of the three elements is a preferred approach for mixture-contaminated soils which has received extensive research attention. However, few studies have focused on the immobilization efficiency of a single amendment on the three elements. In this study, phosphate, red mud, and biochar were used to remediate As (237.8 mg kg−1), Cd (28.72 mg kg−1), and Cu (366.5 mg kg−1) co-contaminated soil using a 180-day incubation study. The BCR (European Community Bureau of Reference) extraction method, NH4H2PO4−extractable As, and diethylenetriamine penta-acetic acid (DTPA)−extractable Cd and Cu were analyzed at different time intervals. The results indicated that the application of red mud and biochar significantly reduced soil DTPA−Cd and Cu concentrations during the incubation, while the decrease in soil NH4H2PO4−As was much less than that of soil D... [more]
The Influence of Effective Prandtl Number Model on the Micropolar Squeezing Flow of Nanofluids between Parallel Disks
Hui Xu, Sheikh Irfan Ullah Khan, Usman Ghani, Wankui Bu, Anwar Zeb
February 21, 2023 (v1)
Keywords: effective Prandtl number, gamma alumina, micropolar, numerical solutions
A mathematical model of micropolar squeezing flow of nanofluids between parallel planes is taken into consideration under the influence of the effective Prandtl number using ethyl glycol (C2H6O2) and water (H2O) as base fluids along with nanoparticles of gamma alumina (γAl2O3). The governing nonlinear PDEs are changed into a system of ODEs via suitable transformations. The RKF (Range−Kutta−Fehlberg) technique is used to solve the system of nonlinear equations deriving from the governing equation. The velocity, temperature, and concentration profiles are depicted graphically for emerging parameters such as Hartmann number M, micronation parameter K, squeeze number R, Brownian motion parameter Nb, and thermophoresis parameter Nt. However, physical parameters such as skin friction coefficient, Nusselt number, and Sherwood number are portrayed in tabulated form. The inclusion of the effective Prandtl number model indicated that the effect of the micropolar parameter K on angular velocity h... [more]
Assessment of Deep and Shallow Geothermal Resources and Measurement of Waste Heat Potentials from Industrial Processes for Supplying Renewable Heat for Industry and Urban Quarters
Edith Haslinger, Veronika Turewicz, Andreas Hammer, Gregor Götzl
February 21, 2023 (v1)
Keywords: BTES, cascade heat use, decentral heat pumps, Energy Storage, geothermal district heating and cooling grids, industrial waste heat
Deep geothermal resources for heat supply and waste heat potentials were assessed and measured for a high-temperature dairy plant. For the industrial waste heat, a borehole heat exchanger (BHE) seasonal storage was configured and simulated after an extensive investigation of shallow geothermal resources. We developed a concept for the subsequent use of the residual and waste heat from the plant in a low-temperature heating and cooling (LTHC) grid for the neighbouring former military camp “Martinek-Kaserne” with a future use as mixed-use urban quarter were investigated in two projects. The modelling of the deep geothermal resources showed that of the three potential reservoirs one is most feasible for geothermal heat supply with temperatures between 129 and 146 °C, which could be used with a high-temperature heat pump for process heat. The waste heat in all sub-processes of the dairy plant were measured over 18 months to identify the most suitable waste heat streams with regard to tempe... [more]
Optimization of Microalgal Harvesting with Inorganic and Organic Flocculants Using Factorial Design of Experiments
Cláudia A. Machado, Ana F. Esteves, José C. M. Pires
February 21, 2023 (v1)
Keywords: chemical flocculation, Chlorella vulgaris, flocculants, harvesting, microalgae
Microalgae have a lot of potential as a source of several compounds of interest to various industries. However, developing a sustainable and efficient harvesting process on a large scale is still a major challenge. This is particularly a problem when the production of low-value products is intended. Chemical flocculation, followed by sedimentation, is seen as an alternative method to improve the energetic and economic balance of the harvesting step. In this study, inorganic (aluminum sulfate, ferric sulfate, ferric chloride) and organic (Zetag 8185, chitosan, Tanfloc SG) flocculants were tested to harvest Chlorella vulgaris in batch mode. Preliminary assays were conducted to determine the minimum dosages of each flocculant that generates primary flocs at different pH. Except for chitosan, the organic flocculants required small dosages to initiate floc formation. Additional studies were performed for the flocculants with a better performance in the preliminary assays. Zetag 8185 had the... [more]
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