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Showing records 38050 to 38074 of 43292. [First] Page: 1 1519 1520 1521 1522 1523 1524 1525 1526 1527 Last
38050. LAPSE:2023.1080
Interpretation Method for Lost Gas in Deep Coalbed and Its Application
February 21, 2023 (v1)
Subject: Energy Systems
Keywords: adsorbed and free gas ratio, coalbed methane, free gas, lost gas, time of loss, USBM method
The gas loss time during the deep coalbed coring process is long. The measured desorption curve does not meet the application conditions for the classical United States Bureau of Mines (USBM) method. However, the industry still lacks a reliable interpretation method, which affects identifying deep coalbed methane reserves and optimizing sweet spots. (Method) The classical double-porosity and double-permeability theoretical model was adopted, and the influence of reservoir permeability, water saturation, and temperature on gas output in the coalbed desorption process was considered. Based on the measured field desorption data of the P1 sample of the No. 8 coal in the Benxi Formation on the eastern margin of Ordos, the entire process for the deep coalbed gas content test was numerically simulated. (Results) The simulation results show that the lost gas in the P1 sample accounts for 24.7% of the total gas, reaching 8.64 m3/t, including 18.81% of loss in wellbore lifting and 5.88% of loss... [more]
38051. LAPSE:2023.1079
Design Optimization and Experimental Verification of Spiral Cone Centrifugal Fertilizer Apparatus Based on the Discrete Element Method
February 21, 2023 (v1)
Subject: Process Design
Keywords: arc-shaped coned disk, discrete element method, fertilizer apparatus, optimization design, rapeseed
This study attempts to optimize the arc-shaped coned disk affecting the uniformity of the earlier designed fertilizer apparatus (FA), in particular, for application in the rice−oil rotation region in the middle and lower reaches of the Yangtze River, China. Based on theoretical analysis, a circular coned disk with the curvature gradual decline (GD) from top to bottom was designed, and the equation of the circular cone was determined. The EDEM discrete element software was used, using the coefficient of variation of the fertilization amount consistency in every row, the coefficient of variation of the fertilization amount stability, and the coefficient of variation of the fertilization amount consistency in the same row as evaluation indices. Simulations and comparative tests of FA performance were performed for three cases of the busbar top-to-bottom curvature variation: (i) gradual increase (GI), (ii) gradual decline (GD), and (iii) zero (0) variation. The experimental results show th... [more]
38052. LAPSE:2023.1078
A PBM-Based Procedure for the CFD Simulation of Gas−Liquid Mixing with Compact Inline Static Mixers in Pipelines
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: bubble size, Computational Fluid Dynamics, mass transfer coefficient, oxygen transfer rate, population balance model, static mixers
A compact static mixer for gas−liquid dispersion in pipelines is studied in this paper with a Reynolds averaged two fluid model approach. A procedure based on the lumped parameter solution of a population balance model is applied to obtain the bubble Sauter mean diameter needed to model the interphase forces. The gas distribution in the pipe is analyzed in two different operative conditions and the efficiency of the static mixer is assessed in terms of the gas homogeneity in the pipe section, with low coefficients of variations being obtained. A computational model to obtain the volumetric mass transfer coefficient, kLa, developed for partially segregated systems is applied finding kLa values comparable to those typically obtained with other static mixers. The proposed computational model allows us to locally analyze the oxygen transfer rate by observing the limitations due to gas accumulation behind the body of the static mixer, which leads to the local depletion of the driving force.... [more]
38053. LAPSE:2023.1077
Deep Transfer Learning for Approximate Model Predictive Control
February 21, 2023 (v1)
Subject: Process Control
Keywords: approximate model predictive control, deep learning, Model Predictive Control, transfer learning
Transfer learning is a machine learning technique that takes a pre-trained model that has already been trained on a related task, and adapts it for use on a new, related task. This is particularly useful in the context of model predictive control (MPC), where deep transfer learning is used to improve the training of the MPC by leveraging the knowledge gained from related controllers. One way in which transfer learning is applied in the context of MPC is by using a pre-trained deep learning model of the MPC, and then fine-tuning the controller training for a new process automation task. This is similar to how an equipment operator quickly learns to manually control a new processing unit because of related skills learned from controlling the prior unit. This reduces the amount of data required to train the approximate MPC controller, and also improves the performance on the target system. Additionally, learning the MPC actions alleviates the computational burden of online optimization ca... [more]
38054. LAPSE:2023.1076
Comparison of Volatile Compositions among Four Related Ligusticum chuanxiong Herbs by HS-SPME-GC-MS
February 21, 2023 (v1)
Subject: Food & Agricultural Processes
Keywords: Cnidium officinale, HS-SPME-GC-MS, Ligusticum chuanxiong, Ligusticum sinense ‘Fuxiong’, Ligusticum sinense ‘Jinxiong’, volatile composition
Chuanxiong (CX, Ligusticum chuanxiong), Japanese Chuanxiong (JCX, Cnidium officinale), Fuxiong (FX, Ligusticum sinense ‘Fuxiong’), and Jinxiong (JX, Ligusticum sinense ‘Jinxiong’) are aromatic herbs used in China, Japan, and other regions. Their morphology and aromatic odor are similar, resulting in confused and mixed uses. This study compares the volatile compositions of these herbs for defining their medical uses. Headspace solid-phase microextraction−gas chromatography−triple quadrupole−mass spectrometry was employed to separate, identify, and quantify the compounds in the volatile gas of the four herbs. A total of 128 volatile compounds were identified and quantified in 23 these herbal samples. The sums of 106, 115, 116, and 120 compounds were detected in the volatile gas of CX, JCX, FX, and JX, with the mean contents of 4.80, 7.12, 7.67, and 12.0 μg/g, respectively. Types and contents of the main compounds were found to be different in the volatile gas of these herbs. The orthogon... [more]
38055. LAPSE:2023.1075
Anti-SARS-CoV-2 IgG ELISA: Replacing the Absorbance Plate Reader by a Regular Scanner with Open-Source Software
February 21, 2023 (v1)
Subject: Numerical Methods and Statistics
Keywords: COVID-19, ELISA test, image scan data, statistical analysis
The COVID-19 global pandemic is still affecting the world, even considering vaccine applications in most countries, especially due to new variant outbreaks and the possibility that they may present immunological escape. Therefore, mass testing is relevant in infection monitoring and restriction policy evaluations, making low-cost and easy-to-use tests essential. Serological tests might also be useful in monitoring immune response after vaccination. The present work proposes a less-expensive ELISA test route, using a scanner instead of a spectrophotometer and using the saturation of the image as a surrogate for the absorbance of each sample. Images from multiple experiments were selected and correlated with their spectrophotometric absorbance. ELISA plate images were digitized by a simple table scanner and, then, preprocessed using Hue, Saturation, Value (HSV) transformation, aiming to determine which correlates best with the obtained absorbance. Saturation correlated better with absorb... [more]
38056. LAPSE:2023.1074
Carbon Material-Based Flow-Electrode Capacitive Deionization for Continuous Water Desalination
February 21, 2023 (v1)
Subject: Materials
Keywords: carbon material, flow-electrode capacitive deionization (FCDI), salt removal, water desalination
Flow-electrode capacitive deionization (FCDI) offers an electrochemical, energy-efficient technique for water desalination. In this work, we report the study of carbon-based FCDI, which consists of one desalination chamber and one salination chamber and applies a carbon nanomaterials-based flow electrode that circulates between the cell anode and cathode, to achieve a fast, continuous desalination process. Five different carbon nanomaterials were used for preparing the flow electrode and were studied for the desalination performance, with properties including average salt removal rate (ASRR), salt removal efficiency (SRE), energy consumption (EC) and charge efficiency (CE) being quantitatively determined for comparation. Different FCDI parameters, including carbon concentration and flow rate of the flow electrode and cell voltage, were investigated to examine the influences on the desalination. Long-term operation of the carbon-based FCDI was evaluated using the optimal results found i... [more]
38057. LAPSE:2023.1073
Is Industry 5.0 a Human-Centred Approach? A Systematic Review
February 21, 2023 (v1)
Subject: Process Operations
Keywords: Artificial Intelligence, cyber-physical systems, digitalization, human-centred, human-centricity, I5.0 technologies, Industry 5.0, robotics
Industry 5.0 presents itself as a strategy that puts the human factor at the centre of production, where the well-being of the worker is prioritized, as well as more sustainable and resilient production systems. For human centricity, it is necessary to empower human beings and, respectively, industrial operators, to improve their individual skills and competences in collaboration or cooperation with digital technologies. This research’s main purpose and distinguishing point are to determine whether Industry 5.0 is truly human-oriented and how human centricity can be created with Industry 5.0 technologies. For that, this systematic literature review article analyses and clarifies the concepts and ideologies of Industry 5.0 and its respective technologies (Artificial Intelligence, Robotics, Human-robot collaboration, Digitalization), as well as the strategies of human centricity, with the aim of achieving sustainable and resilient systems, especially for the worker.
38058. LAPSE:2023.1072
Synthesis of 2-DOF Decoupled Rotation Stage with FEA-Based Neural Network
February 21, 2023 (v1)
Subject: Numerical Methods and Statistics
Keywords: 2-DOF rotation stage, compliant mechanisms, micro manipulation, transfer printing
Transfer printing technology has developed rapidly in the last decades, offering a potential demand for 2-DOF rotation stages. In order to remove decoupling modeling, improve motion accuracy, and simplify the control method, the 2-DOF decoupled rotation stages based on compliant mechanisms present notable merits. Therefore, a novel 2-DOF decoupled rotation stage is synthesized of which the critical components of decoupling are the topological arrangement and a novel decoupled compound joint. To fully consider the undesired deformation of rigid segments, an FEA-based neural network model is utilized to predict the rotation strokes and corresponding coupling ratios, and optimize the structural parameters. Then, FEA simulations are conducted to investigate the static and dynamic performances of the proposed 2-DOF decoupled rotation stage. The results show larger rotation strokes of 4.302 mrad in one-axis actuation with a 1.697% coupling ratio, and 4.184 and 4.151 mrad in two-axis actuatio... [more]
38059. LAPSE:2023.1071
Copper Recovery from Aqueous Solutions by Hemp Shives: Adsorption Studies and Modeling
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: Adsorption, batch, copper, hemp shives, isotherms, pH, salts
This article describes the performance of hemp shives, a co-product of the hemp industry, when used as an adsorbent to recover copper present in aqueous solutions by a batch method. Two materials provided by an industrial partner, namely water-washed hemp shives (SHI-W) and Na2CO3-activated shives (SHI-C), were studied. Two important variables in the water treatment industry, i.e., pH and ionic strength of the solution, were studied to evaluate their impact on the purification performance of the materials. The results obtained clearly indicated that the performance in terms of Cu removal obtained from the SHI-C material was significantly higher than that obtained with SHI-W, mainly due to the structural and chemical modifications after carbonate treatment. For each dose of this adsorbent, a percentage of recovery between 90 and 100% was achieved, independently of the pH value in the range 3−5. In the case of SHI-W, the highest values were between 60 and 75% and were both dependent on t... [more]
38060. LAPSE:2023.1070
Dynamic Signature Verification Technique for the Online and Offline Representation of Electronic Signatures in Biometric Systems
February 21, 2023 (v1)
Subject: System Identification
Keywords: biometric system, classifier learning, E-signatures, signature verification
Biometric systems input physical or personal human characteristics for identification, authentication, and security purposes. With the advancement in communication and intelligent security systems, biometrics are programmed to validate electronic signatures (E-signatures) for online and offline authentication. This article introduces a dynamic signature verification technique (DSVT) using mutual compliance (MC) between the security system and the biometric device. The security system is responsible for online and offline signature approval using personal inputs from humans. This personal verification is related to the stored online/offline signatures using certificates provided for authentication. The certificate-based authentication is valid within a session for online representation. Contrarily, this authentication is valid for persons under offline conditions. In this mode of segregation, application-level authentication verification is performed. A conventional tree classifier for... [more]
38061. LAPSE:2023.1069
Establishment and Application of a Novel Four-Dimensional Model for Simulation of a Natural Water Flooding Reservoir—A Case Study of Nanpu No. 2 Structure in the BHW Basin
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: fluvial facies, four-dimension, integration, maturing field, modeling and numerical simulation, water flooded layer
Long-term development of fluvial reservoirs causes regular changes in the microscopic pore-throat structure, physical properties and phase permeability curves of the reservoirs, and the evolution history of different oil layer varies. These effects can be explored using a four-dimensional (4D) model of the maturing field. The logging curves of 89 sand bodies of the Nanpu No. 2 structure in the Bohai Bay Basin were restored to the non-water flooded state based on the changing status of water flooding layers at different stages and levels, and an original geological model was established by combining data for the old wells. The time-varying relationship was incorporated in the dynamic model with surface flux as the variable, and the numerical simulation analysis was conducted based on the reservoir time-varying characteristics. The results showed that ① the logging data of the water-flooded layer significantly affected the simulation results of the geological model and can only be used f... [more]
38062. LAPSE:2023.1068
Vent Root Bark Extract Inhibits the Proliferation of Cancer Cells and Induce Apoptotic Cell Death
February 21, 2023 (v1)
Subject: Biosystems
Keywords: apoptosis, cytotoxicity, morphological change, MTT assay, Oroxylum indicum
Vent is a medium-sized deciduous tree that belongs to the family Bignoniaceae. The roots of this tree are used as one of the ten ingredients to prepare the Dasamula formulation in the Ayurvedic system of medicine in India. Although traditional uses are attributed to the medicinal plant, there are limited scientific data on its potential. The present study thus analyzed the cytotoxic and apoptotic potential of the plant against different cancer cells. MTT assay was used to determine cytotoxicity using HeLa, HCT 15, and MDA-MB-231 cells, with the IC50 values, revealed at concentrations of 92.43, 133.0, and 112.84 µg/mL respectively. However, the extract was less toxic to non-cancer cells. HeLa cells further treated with OIM were subjected to flow cytometric analysis for studying the cell cycle stages. When untreated cells at G1 phase were found at a relative percentage of 71.9%, it increased to 79.3 and 86% with OIM treatment at concentrations of 50 and 100 µg/mL; cells in the S phase de... [more]
38063. LAPSE:2023.1067
An Appropriate Approach to Recognize Coke Size Distribution in a Blast Furnace
February 21, 2023 (v1)
Subject: Numerical Methods and Statistics
Keywords: blast furnace ironmaking, faster R-CNN, HOG + SVM, MW, online detection method, size distribution of coke, YOLOv3
The size distribution of coke is important in order to decide the burden layer structure and the burden porosity in the shaft of a blast furnace (BF), which fluctuates daily and can be determined by several parameters. It is measured two or three times per shift by screening the raw material. However, the screening method used is random and takes a lot of time and manpower, resulting in the susceptive size distribution of the raw material and delayed operation of the BF. Therefore, in this paper, a new online approach used to measure the size distribution of particles was selected through comparison. Four common algorithms were used to detect the coke particles from images, including the Marker-based Watershed (MW), Histogram of Oriented Gradient + Support Vector Machine (HOG + SVM), Faster Region-based Convolutional Neural Networks (Faster R-CNN), and You Only Look Once (YOLOv3). The results show that the MW and HOG + SVM were not suitable for coke image detection. The average mean av... [more]
38064. LAPSE:2023.1066
Analyzing Support Stability of Deep Shaft Based on Plastic Softening and Dilatancy of Hard Rock Mass
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: analytical solution, dilatancy, numerical simulation, P-wave velocity test, plastic region, plastic softening, support system
To explore the stability analyses and control methods for surrounding rocks in deep hard rock shafts, this paper is based on field engineering geological surveys and laboratory rock mechanics tests and relies on the main shaft being constructed in the Shaling Gold Mine of China as the engineering background. The quality of the rock mass is evaluated by the Q system, rock mass rating (RMR) and geological strength index (GSI). The mechanical parameters of the surrounding rock mass of the shaft are calculated by using the generalized Hoek−Brown failure criterion, and the main support system is determined based on the rock mass classification system. Based on the finite element method, a two-dimensional plane strain model is constructed to analyze and evaluate the deformation and plastic region range of surrounding rocks for different support systems. On this basis, considering the dilatancy and plastic softening characteristics of hard rock masses, an analytical solution of the stress, st... [more]
38065. LAPSE:2023.1065
Experimental Analysis of Drying Conditions’ Effect on the Drying Kinetics and Moisture Desorption Isotherms at Several Temperatures on Food Materials: Corn Case Study
February 21, 2023 (v1)
Subject: Materials
Keywords: corn kernel, desorption isotherms, drying kinetics, moisture content, packed bed, thin layer, water activity
This work studied the effect of external conditions on the drying kinetics of a thin layer of corn during convective drying. The density and the specific volume of the corn grain were reported and the desorption isotherms of the corn were determined at three temperatures and for a water activity from 0.1 to 0.9 using the static gravimetric method. Initially, a thin layer of corn about 7 mm thick with an initial moisture content of 45% (d.b) was investigated, and the external conditions were tested. Afterwards, a comparison between the experimental convective drying of a packed bed and a thin layer was performed under the same conditions. Finally, the values of equilibrium moisture contents, water activities and temperatures obtained were fitted using seven sorption models. It was found that the experimental desorption data exhibited type II behavior, according to Brunauer’s classification. The GAB model was found as the most suitable semi-empirical model which was well suited to repres... [more]
38066. LAPSE:2023.1064
ABTS/TAC Methodology: Main Milestones and Recent Applications
February 21, 2023 (v1)
Subject: Food & Agricultural Processes
Keywords: ABTS assay, antioxidant activity, antioxidants, clinical samples, plant extracts, TAC, total antioxidant capacity
ABTS (2,2′-azino-bis-(3-ethylbenzothiazoline-6-sulfonic) acid) is a widely used compound for determining the total antioxidant capacity (TAC) of plant extracts, food, clinical fluids, etc. This photometric assay is based on the reduction by the presence of antioxidant compounds of a well-known metastable radical (ABTS•+) which can be formed via several different approaches and be used in many different determination methodologies such as automated photometric measures in microplates, clinical robots, valuable titrations, and previous liquid chromatographic separation. Another interesting aspect is that, in some cases, the ABTS/TAC method permits sequential hydrophilic and lipophilic antioxidant activity determinations, obtaining total antioxidant activity values through the summatory data of both types of antioxidants. In this work, we present a review of several aspects of the ABTS/TAC, highlighting the major achievements that have made this method so widely used, e.g., ABTS radical f... [more]
38067. LAPSE:2023.1063
Application of Fuzzy Multi-Objective Programming to Regional Sewer System Planning
February 21, 2023 (v1)
Subject: Planning & Scheduling
Keywords: compromise fuzzy programming, mixed-integer programming, multi-objective programming, nonlinear programming, regional sewer system planning
Planning of sewer systems typically involves limitations and problems, regardless of whether traditional planning methods or optimization models are used. Such problems include non-quantifiability, fuzzy objectives, and uncertainties in decision-making variables which are commonly applied in the planning of any process. Particularly, uncertainties have prevented the inclusion of these variables in models. Consequently, the theoretical optional solution of the mathematical models is not the true optimum solution to practical problems. In this study, to solve the above problems for regional sewer system planning, multi-objective programming (MOP), nonlinear programming, mixed-integer programming, and compromise fuzzy programming were used. The objectives of this study were two-fold: (1) determination of the necessary decision-making variables or parameters, such as the optimum number of plants, piping layout, size of the plant, and extent of treatment; (2) establishment of a framework an... [more]
38068. LAPSE:2023.1062
Effects of the Sous Vide and Conventional Electric Oven Cooking Methods on the Physio-Sensory Quality Attributes of Arabian Camel (Camelus dromedarius) Meat
February 21, 2023 (v1)
Subject: Food & Agricultural Processes
Keywords: Arabian camel, physical properties, sensory properties, traditional cooking, under vacuum
This study aimed to evaluate the effect of the sous vide and electric oven cooking methods on the physical and sensory characteristics of camel meat. A combination of 4 cooking temperatures (70, 80, 90, and 100 °C) and 6 cooking times (30, 60, 90, 120, 150, and 180 min) was applied. Both methods significantly affected the meat’s physical properties (pH, cooking loss, density, lightness, redness, and yellowness color components), except for water activity. Furthermore, the cooking temperature and time significantly affected all the sensory properties (tenderness, flavor, juiciness, and general acceptance). The cooking loss was the only parameter affected significantly by the interaction of the cooking method, cooking temperature, and cooking time. It is concluded that the sous vide method is the more suitable method for cooking camel meat compared to the electric oven method considering the cooking temperature and time. Further studies are recommended to estimate energy consumption for... [more]
38069. LAPSE:2023.1061
Can Direct Subsidies or Tax Incentives Improve the R&D Efficiency of the Manufacturing Industry in China?
February 21, 2023 (v1)
Subject: Energy Policy
Keywords: direct funding subsidy policy, innovation policy, manufacturing, preferential tax policy, R&D efficiency
The understanding of the impact of different government support methods on R&D efficiency is of great significance for evaluating the performance of innovation policies in various countries. We selected 31 manufacturing industries in China from 2009 to 2015, used the stochastic frontier analysis (SFA) method to measure R&D efficiency, and used tobit regression method to examine the relationship between direct government subsidies and preferential tax policies and manufacturing R&D efficiency. The results reveal that the overall R&D efficiency of China’s manufacturing industry was low, but it has been steadily increasing, and the R&D efficiency of emerging industries was significantly higher than that of traditional industries. Tax incentives played a stable and significant role in promoting R&D efficiency in manufacturing. Affected by factors such as the government’s long-term preference and information asymmetry, direct subsidies had no significant impact on the current R&D efficiency... [more]
38070. LAPSE:2023.1060
Research on Industry Data Analytics on Processing Procedure of Named 3-4-8-2 Components Combination for the Application Identification in New Chain Convenience Store
February 21, 2023 (v1)
Subject: System Identification
Keywords: chain convenience store, data mining tools, industry data application, store expansion
With the rapid economic boom of Asian countries, the president of Country-A has made great efforts to reform in recent years. The prospect of economic development is promising, and business opportunities are emerging gradually, depicting a prosperous scene; accordingly, people’s livelihood consumption also has changed significantly. The original main point of consumption for urban and rural people was the old and traditional grocery store with poor sanitation, but due to the economic improvement, the quality of consumption has also improved, and convenience stores are gradually replacing grocery store. However, convenience store management involves performance, logistic, competition, and personnel costs. Both whether the store can create a net profit and evaluate and select a new store will be important keys that significantly influence business performance. Therefore, this study attempts to use the industry data analysis method for highlighting a concept of processing an experience pr... [more]
38071. LAPSE:2023.1059
Biosorption of Hexavalent Chromium by Bacillus megaterium and Rhodotorula sp. Inactivated Biomass
February 21, 2023 (v1)
Subject: Environment
Keywords: abiotic factors, Bacillus megaterium, biosorption, hexavalent chromium, Rhodotorula sp.
Due to the adverse effects of hexavalent chromium (Cr6+) on human health and the quality of the environment, the scientific community has invested a lot of effort to solve this pollution problem. Thus, implementing sustainable alternatives for Cr6+ elimination by exploiting the capacity of microbial biomass to retain heavy metals by biosorption is considered an economic and eco-friendly solution, compared to the conventional physico-chemical processes. However, the ability of microorganisms to remove Cr6+ from liquid effluents can strongly be affected by biotic and abiotic factors. With these issues in mind, the main purpose of this paper was to investigate Cr6+ biosorption on Bacillus megaterium and Rhodotorula sp. biomass inactivated by thermal treatments, exploring the effects of some factors such as: pH, biosorbent dose, initial concentration of the metal in solution, temperature and contact time between the biosorbent and the metal ions on process effectiveness. The results showed... [more]
38072. LAPSE:2023.1058
Multimode Wind Tunnel Flow Field System Monitoring Based on KPLS
February 21, 2023 (v1)
Subject: Numerical Methods and Statistics
Keywords: KPLS, multimode, nonlinear, wind tunnel
In a wind tunnel process, Mach number is the most important parameter. However, it is difficult to measure directly, especially in the multimode operation process, leading to difficulty in process monitoring. Thus, it is necessary to measure the Mach number indirectly by utilizing data-driven methods, and based on which, to monitor the operation status of the wind tunnel process. In this paper, therefore, a multimode wind tunnel flow field system monitoring strategy is proposed. Since the wind tunnel system is a strongly nonlinear system, the kernel partial least squares method, which can efficiently handle the nonlinear regression problem, is utilized. Firstly, the Mach number is predicted utilizing the kernel partial least squares method. Secondly, process monitoring statistics, i.e., the Hotelling T2 statistic and the square prediction error, the SPE statistic, and their control limits, are proposed to be applied to monitor the wind tunnel process on the basis of the prediction of t... [more]
38073. LAPSE:2023.1057
Comparative Performance of Machine-Learning and Deep-Learning Algorithms in Predicting Gas−Liquid Flow Regimes
February 21, 2023 (v1)
Subject: Modelling and Simulations
Keywords: Artificial Intelligence, Modelling, multiphase flow, pipeline, prediction
Gas−liquid flow is a significant phenomenon in various engineering applications, such as in nuclear reactors, power plants, chemical industries, and petroleum industries. The prediction of the flow patterns is of great importance for designing and analyzing the operations of two-phase pipeline systems. The traditional numerical and empirical methods that have been used for the prediction are known to result in a high inaccuracy for scale-up processes. That is why various artificial intelligence-based (AI-based) methodologies are being applied, at present, to predict the gas−liquid flow regimes. We focused in the current study on a thorough comparative analysis of machine learning (ML) and deep learning (DL) in predicting the flow regimes with the application of a diverse set of ML and DL frameworks to a database comprising 11,837 data points, which were collected from thirteen independent experiments. During the pre-processing, the big data analysis was performed to analyze the correla... [more]
38074. LAPSE:2023.1056
Study of Explosion Characteristics and Mechanism of Sucrose Dust
February 21, 2023 (v1)
Subject: Process Design
Keywords: 20L-sphere, dust explosion, explosion intensity, explosion mechanism, process safety
In order to investigate the explosion mechanism of sucrose in the air atmosphere, the explosion intensity under different ignition delay times (IDT), powder input pressures (PIP), and concentrations were studied using a 20L-sphere. The sucrose particles were analyzed in a synchronized thermal analyzer (STA) and scanning electron microscope (SEM). The results are as follows: 1. The DSC curve has two endothermic peaks and one exothermic peak, respectively at T = 180.5 ℃, 510.2 ℃ and 582.6 ℃. 2. The explosion intensity varies with the experiment conditions. The maximum explosion pressure (Pmax) appears when IDT = 90 ms, PIP = 1.5 MPa and concentration = 625 g/m3. 3. The explosive mechanism is a homogeneous combustion mechanism based on particle surface pyrolysis and volatilization. Because of the decomposition, H2, CO, furfural, and other flammable gas-phase products are released, then surface burn appears, which leads to the crystal rupture on account of thermal imbalance, resulting in m... [more]
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