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Showing records 2487 to 2511 of 43292. [First] Page: 1 97 98 99 100 101 102 103 104 105 Last
Valorization of Peanut and Walnut Shells through Utilisation as Biosorbents for the Removal of Textile Dyes from Water
Svetlana Lazarova, Radoslav Tonev, Sonya Dimitrova, Galina Dimova, Irena Mihailova
September 20, 2023 (v1)
Keywords: adsorption kinetics, biosorbents, dye removal, methylene blue, peanut shells, walnut shells
The present research focuses on the application of peanut and walnut shells, in their natural state, for the removal of methylene blue (MB) from water solutions in batch and dynamic (flow-through) conditions. Under batch conditions, at a 100 mg/L MB concentration of aqueous solution, the optimum dose of the studied biosorbents was determined to be 2.5 g/L, reaching about 95−97% efficiency of MB removal for both materials. Langmuir and Freundlich isotherms were used to model and evaluate the experimental data under different initial concentrations of MB (25 to 100 mg/L). The determined maximum adsorption capacities are 41.50 mg/g for walnut shells and 46.80 mg/g for peanut shells. Under flow-through conditions, breakthrough curves are determined for three sizes of fractions (<0.25 mm, 0.315−0.5 mm, and 0.8−1.6 mm). For peanut shells, the smaller the particle size, the higher the adsorption capacity and the column breakthrough time. For walnut shells, however, the particle size seems... [more]
Environmental Life Cycle Analysis of Açaí (Euterpe oleracea) Powders Obtained via Two Drying Methods
Natalia Salgado-Aristizabal, Tatiana Agudelo-Patiño, Sebastian Ospina-Corral, Ignacio Álvarez-Lanzarote, Carlos Eduardo Orrego
September 20, 2023 (v1)
Subject: Environment
Keywords: açaí crop, environmental life cycle analysis, Euterpe oleracea, spray drying, vacuum drying, waste management
Açaí is a fruit native to Brazil that is found in Colombia, and it is recognized for containing more than 90 compounds with anticancer, anti-inflammatory, and other biological activities. In this study, a cradle-to-gate life cycle analysis (LCA) was conducted for the production of açaí powder, following the methodology outlined in the ISO 14040 standard. The investigation focused on examining the impact of utilizing or not utilizing the residues generated during the pulp extraction step as fertilizers. Four scenarios were analyzed and compared: (i) production of açaí powder via vacuum drying, (ii) via spray drying, and via the same two types of drying but using residues from the pulping operation as fertilizer (Scenarios 3 and 4). It was found that to produce 1 kg of açaí in a crop cycle, 1.17 kg of CO2 eq is produced. The drying stage in Scenarios 1 and 2 generated 8.04 and 7.93 kg of CO2 eq, respectively. Similarly, when solid waste is used as fertilizer, CO2 emissions barely increas... [more]
Pore-Scale Experimental Investigation of the Residual Oil Formation in Carbonate Sample from the Middle East
Yongjie Liu, Jian Pi, Kaijun Tong
September 20, 2023 (v1)
Keywords: flow rate, micro-CT, microscopic remaining oil, pore-scale, porosity
Select porous carbonate cores are used to carry out water-flooding oil micro-CT flooding experiments, and use image processing to separate oil, water, microfacies, and rock skeleton. The gray value is used to determine the distribution position of the microfacies sub-resolution remaining oil. The gray image resolution is improved by the SRCNN method to improve the pore identification accuracy. The distribution and evolution law of the sub-resolution remaining oil after the displacement is determined by the oil-water distribution results. Using the SRCNN method, the pore recognition accuracy of the original scanned images of the two samples was increased by 47.88 times and 9.09 times, respectively. The sub-resolution residual oil and the macro-pore residual oil were determined from the CT scan images after the brine was saturated and divided into five categories. With the increase in the displacement ratio, the columnar and droplet residual oil of the low-permeability samples first incr... [more]
Cause Analysis of Condensed Water Induced Bulging in High-Pressure Steam Tee Joints of a Pyrolyzer
Weiqi Lian, Zhiwei Sun, Yunrong Lyu, Zhihong Duan
September 20, 2023 (v1)
Subject: Materials
Keywords: altering thermal stress, bulging, condensed water, ratcheting, tee joint
High-pressure steam pipes inevitably suffered from the reciprocal interaction of high pressure and temperature during a long-period service, causing deformation and cracking. However, only limited studies about abnormal bulging caused by condensed water have been carried out. To study the relationship between bulging and condensed water, bulging tee joints belonging to high-pressure steam pipes were investigated with a macro visual inspection, chemical composition analysis, and metallographic microscopy. According to the analysis of the bulging samples, pearlite spheroidization was found in the abnormal bulging tee joint. The ANSYS FLUENT modeling indicated that the tube wall of bulging tees was continuously subjected to alternating stress, causing the cyclic transformation of the liquid−gas phase inside the tee joint. The results indicate that the stress produced by a condensed water droplet ranges from 532.8 MPa to 59 MPa, continuously exerting pressure on the tube wall of the tee jo... [more]
Ammonia Decomposition over Alkali Metal (Li, K, Cs)-Promoted Bulk Mo2N Catalyst
Hisham S. Bamufleh, Sharif F. Zaman
September 20, 2023 (v1)
Subject: Materials
Keywords: alkali-metal promotion, COX free H2, MoN2 catalyst, NH3 cracking, solgel method of preparation
Ammonia (NH3), which has a 17.7 wt% gravimetric hydrogen density, has been considered as a potential hydrogen storage material. This study looked at the thermocatalytic decomposition of NH3 using a bulk Mo2N catalyst that was boosted by alkali metals (AM: 5 wt% Li, K, Cs). The K-Mo2N catalyst outperformed all other catalysts in this experiment in terms of catalytic performance. At 6000 h−1 GHSV, 100% conversion of NH3 was accomplished using the K-Mo2N, Cs-Mo2N, and Mo2N catalysts. However, when compared to other catalysts, K-Mo2N had the highest activity, or 80% NH3 conversion, at a lower temperature, or 550 °C. The catalytic activity exhibited the following trend for the rate of hydrogen production per unit surface area: K-Mo2N > Cs-Mo2N > Li-Mo2N > Mo2N. Up to 20 h of testing the K-Mo2N catalyst at 600 °C revealed no considerable deactivation.
A Comprehensive Model for Evaluating Titanium Industry Security in China
Xiangwei Hui, Ming Qi, Wenhao Wang, Sen Yang, Chengqi Zhang
September 20, 2023 (v1)
Subject: Environment
Keywords: entropy weight-TOPSIS, grey correlation analysis, security system, Sustainability, titanium industry chain
Currently, China is the largest consumer of titanium (Ti), yet the development of its Ti industry is limited by numerous factors, such as industrial structure imbalance. This study aimed to evaluate the security of China’s Ti industry from 2010 to 2020, seeking to identify relevant issues and propose policy strategies. Firstly, a comprehensive evaluation system for Ti industry security was established, encompassing aspects of availability, economics, and sustainability. Secondly, the entropy weight technique for order preference by similarity to an ideal solution (TOPSIS) combination method and gray correlation method were employed to assess the safety level of China’s Ti industry chain in each year from 2010 to 2020. Additionally, the coupling degree and sensitivity were used to analyze the dimension layers and index system to determine those that negatively impact the safety level of the Ti industry chain. The analysis results reveal that the economic level exerts a significant influ... [more]
Improving the Accuracy of Silicon Transfer Prediction in Submerged Arc Welding: A Multi-Reaction-Zone Analysis
Jin Zhang, Jun Fan, Dan Zhang
September 20, 2023 (v1)
Subject: Other
Keywords: Calphad approach, elemental transfer behavior, flux, silicon content, slag, submerged arc welding, thermodynamic equilibrium model, weld metal composition
This study aims to predict and evaluate the transfer behavior of silicon employing SiO2-bearing fluxes during submerged arc welding. Unlike previous studies that only focused on chemical reactions in the weld pool zone, this research investigates the elemental behavior of silicon subjected to essential reaction zones in a submerged arc welding process. The proposed method is compared with the traditional thermodynamic equilibrium models, enhancing the understanding of silicon transfer behavior in the submerged arc welding process. It is demonstrated that relying solely on thermodynamics within the weld pool zone is inadequate for accurately predicting the extent of silicon transfer level since the loss of silicon during the droplet zone and the improvement in oxygen content in the molten droplet are not considered, resulting in an overestimation of the ΔSi level. Finally, the limitations of the traditional elemental transfer quantification method and corresponding corrective suggestion... [more]
Harnessing Digestate Potential: Impact of Biochar and Reagent Addition on Biomethane Production in Anaerobic Digestion Systems
Alaa Salma, Nur Maisarah Binti Faeruz, Lydia Fryda, Hayet Djelal
September 20, 2023 (v1)
Keywords: anaerobic digestion, biochar, biomethane production, cattle manure digestate, cosubstrates
This article reports on an experiment that aimed to investigate the effects of digestate and cosubstrate input with varying biochar concentrations on methane production in anaerobic digestion processes. The findings revealed distinct trends in methane production among the substrates. Further investigations were conducted to evaluate the effects of different types of biochars on biomethane production from raw cattle manure digestate. Four conditions were tested: one raw digestate condition and three digestate conditions containing 1% of a different biochar type to one another. BC1 (PEFC-certified spruce BC) and BC2 (oak wood BC) showed promising results in enhancing biomethane production. About 884.23 NmL of methane was produced, with a yield and productivity of 22.80 NmL.g−1 and 1.62 NmL.g−1.day−1 with BC1. However, BC3 (cow and chicken manure digestate BC) demonstrated lower biomethane production compared to raw digestate. Additionally, the study explored the effects of adding reagent... [more]
Prediction of Physical Properties and Phase Characteristics of Ethane and Ethane Mixture in the Ethane Pipeline
Jiuqing Ban, Changjun Li, Wei Yang, Wei Zhang, Xiaoyun Yuan, Yingying Xu
September 20, 2023 (v1)
Keywords: equation of state, ethane pipeline, phase characteristics, physical properties
In order to realize the safe transportation of liquefied ethane pipeline in the Oilfield of China, it is necessary to fully study the process of pipeline replacement, operation and shutdown. The accurate calculation of physical property parameters and critical parameters is the basis of studying the gas-liquid two-phase flow and heat and mass transfer process of liquefied ethane in the pipeline. In this paper, different equations of states (EOSs) were used to predict the physical properties (such as density, dew point and dynamic viscosity) of ethane or ethane mixture, and the predicted results were compared with the corresponding experimental data from the literature. The prediction performance of different EOSs were evaluated by using two evaluation indicators, including average absolute deviation (AAD) and average relative deviation (ARD). The results showed that the PR-Peneloux EOS has the best performance for predicting the density of CH4-C2H6-N2 mixture with an ARD value of 4.46%... [more]
Tailing Ash for the Removal of Methylene Blue from Aqueous Solutions by Batch Adsorption
Cik Jamla Farhan bt Yahya, Thomas Shean Yaw Choong, Fan Li, Wan Azlina Wan Ab Karim Ghani, Farah Nora Aznieta Abd Aziz, Siti Nurul Ain Md. Jamil
September 20, 2023 (v1)
Subject: Environment
Keywords: Adsorption, dye, tailing ash
One of the more problematic textile wastewaters to manage is dyeing wastewater, especially methylene-blue-containing wastewater. Its release has a significant negative impact on ecosystems, which could harm the environment. Adsorption techniques are still an efficient technology to eliminate and remove the coloring agent. Tailing ash, obtained from the floatation process, was selected as an adsorbent in the present study. The purpose of this study was to analyze the performance of tailing ash (TA) for MB removal. The effects of operating parameters investigated were pH (2−10), stirring speed (50−150 rpm), initial dye concentration (20−100 mg/L), contact time (120 min), adsorbent dosage (0.5−2.5 g), and temperature (25−45 °C). The performance of TA pretreated with hydrogen peroxide (H2O2) and thermal tailing ash were also investigated. The experimental results for batch adsorption indicated that 96.23% removal of methylene blue took place at the optimum condition (pH = 10, initial adsor... [more]
Effects of Temperature and Pressure on Hemp Oil Filtration Parameters and Peroxide Number
Jiří Souček, Petr Jevič, Martin Dědina, Veronika Tománková, Vladimír Mašán, Patrik Burg, Kornél Szalay, Algirdas Jasinskas
September 20, 2023 (v1)
Keywords: hemp oil, oil filtration, oil storage, oil treatment, oil viscosity, oxidation stability of oils, plate filters, vegetable oil processing, vegetable oils
This article focuses on the quality of hemp oil processing, specifically the filtration that is an important part of the technological procedure of processing vegetable oils. The aim of the research was to determine the effects of pressure and temperature on the filtration parameters when using plate filters. The research was carried out on an experimental measuring device with adjustable static pressure. The qualitative properties of the oil were observed in terms of analytical composition, microbial content, and changes in peroxide value as the indicator of oxidation stability. The change in pressure affected the oil flow rate, especially at lower pressure values. The increase in temperature of the filtered oil had a negative impact on the oxidation stability.
Sustainable Supply Chains in Industrial Engineering and Management
Conghu Liu, Nan Wang, Xiaoqian Song, Zhi Liu, Fangfang Wei
September 20, 2023 (v1)
The integration of information technologies with the industry has marked the beginning of the Fourth Industrial Revolution and has promoted the development of industrial engineering [...]
Factors That Control the Reservoir Quality of the Carboniferous−Permian Tight Sandstones in the Shilounan Block, Ordos Basin
Jing Wang, Fawang Ye, Chuan Zhang, Zhaodong Xi
September 20, 2023 (v1)
Keywords: diagenesis, pore structure, porosity, reservoir, tight sandstone gas
The Carboniferous−Permian, coal-bearing, sedimentary succession on the eastern edge of the Ordos Basin in the Shilounan Block contains large accumulations of hydrocarbon resources. During the exploration of coalbed methane and tight sandstone gas in the study area, multiple drilling wells in the tight sandstone reservoirs have yielded favorable gas logging results. The Benxi, Taiyuan, Shanxi, Shihezi, and Shiqianfeng formations contain multiple sets of sandstone reservoirs, and the reservoir quality and the controlling factors of its tight sandstones were affected by sedimentation, diagenetic alteration, and pore structure. This study comprehensively examines the sedimentary environment, distribution of sand bodies, and physical characteristics of tight sandstone reservoirs through drilling, coring, logging, and experimental testing. The results indicate that the Carboniferous−Permian tight sandstones are mainly composed of lithic sandstone and lithic quartz sandstone. The reservoir qu... [more]
Special Issue: Neural Networks, Fuzzy Systems and Other Computational Intelligence Techniques for Advanced Process Control
Jie Zhang, Meihong Wang
September 20, 2023 (v1)
Computational intelligence (CI) techniques have developed very fast over the past two decades, with many new methods emerging [...]
Optimising Spread-Layer Quality in Powder Additive Manufacturing: Assessing Packing Fraction and Segregation Tendency
Hamid Salehi, John Cummins, Enrico Gallino, Vivek Garg, Tong Deng, Ali Hassanpour, Mike Bradley
September 20, 2023 (v1)
Keywords: additive manufacturing, packing fraction, powder spreading, size and shape segregation
Powder bed fusion (PBF), a subset of additive manufacturing methods, is well known for its promise in the production of fully functional artefacts with high densities. The quality of the powder bed, commonly referred to as powder spreading, is a crucial determinant of the final quality of the produced artefact in the PBF process. Therefore, it is critical that we examine the factors that impact the powder spreading, notably the powder bed quality. This study utilised a newly developed testing apparatus, designed specifically for examining the quality of powder beds. The objective was to analyse the influence of various factors, including the recoater shape, recoater gap size, and the different powder flow properties, on the powder bed relative packing fraction. Additionally, the study aimed to assess the variation in the particle size and shape across the build plate. The results indicated that all of the variables examined had an impact on the relative packing fraction, as well as the... [more]
Steam Explosion of Eucalyptus grandis Sawdust for Ethanol Production within a Biorefinery Approach
Mairan Guigou, Juan Guarino, Luana M. Chiarello, María N. Cabrera, Mauricio Vique, Claudia Lareo, Mario D. Ferrari, Luiz P. Ramos
September 20, 2023 (v1)
Keywords: biomass moisture content, cellulosic ethanol, eucalypt sawdust, high total solids, PSSF, steam explosion
In this work, Eucalyptus grandis sawdust was subjected to steam explosion as the first step in cellulosic ethanol production within a biorefinery approach. The effect of the moisture content in the eucalypt sawdust (8 and 50%) and pretreatment process variables, such as temperature and residence time, were evaluated along with the influence of the water washing of steam-exploded solids on enzymatic hydrolysis and C6 fermentation yields. All other process streams were characterized to evaluate the recovery yield of valuable co-products. A recovery of nearly 100% glucans in the solid fraction and 60% xylans in the liquid fraction, mainly as partially acetylated oligomers, was obtained. The best enzymatic hydrolysis efficiencies (66−67%) were achieved after pretreatment at 205 °C for 10 min. The washing of pretreated sawdust with water improved the hydrolysis efficiencies and ethanol production yields by 10% compared to the unwashed pretreated solids under the same experimental condition.... [more]
Thermal Behavior Prediction of Sludge Co-Combustion with Coal: Curve Extraction and Artificial Neural Networks
Chaojun Wen, Junlin Lu, Xiaoqing Lin, Yuxuan Ying, Yunfeng Ma, Hong Yu, Wenxin Yu, Qunxing Huang, Xiaodong Li, Jianhua Yan
September 20, 2023 (v1)
Keywords: artificial neural networks (ANN), prediction, sludge co-combustion, thermal behavior, thermogravimetric curve extraction (TCE)
Previous studies on the co-combustion of sludge and coal have not effectively utilized the characteristics of the combustion process to predict thermal behavior. Therefore, focusing on these combustion process characteristics is essential to understanding and predicting thermal behavior during the co-combustion of sludge and coal. In this paper, we use thermogravimetric analysis to study the co-combustion of coal and sludge at different temperatures (300−460 °C, 460−530 °C, and 530−600 °C). Our findings reveal that the ignition improves, but the combustion worsens with more sludge. Then, we further employ curve extraction based on temperature and image segmentation to extract the DTG (weight loss rate) curves. We successfully predicted the DTG curves for different blends using nonlinear regression and curve extraction, achieving an excellent R2 of 99.7%. Moreover, the curve extraction method predicts DTG better than artificial neural networks for two samples in terms of R2 (99.7% vs. 9... [more]
Analysis of Heat Transfer of the Gas Head Cover of Diaphragm Compressors for Hydrogen Refueling Stations
Shengdong Ren, Xiaohan Jia, Jiatong Zhang, Dianbo Xin, Xueyuan Peng
September 20, 2023 (v1)
Keywords: diaphragm compressor, heat transfer enhancement, simulation model, temperature distribution
The inadequate ability to dissipate heat of the gas head cover of the diaphragm compressor will result in its excessive temperature, which will put the operation of the hydrogen filling station at risk for safety issues and raise operating costs. This paper analyzed the structure and the heat transfer characteristics of the gas head cover, along with the relevant heat transfer boundaries, based on which a finite element simulation model of the temperature distribution was established. A test rig for the temperature test of a 22 MPa diaphragm compressor was built to validate this simulation model. The results indicated that the simulated temperatures agree well with the measured values, and the deviation is within 9.1%. Further, this paper proposed two head cover structures for enhancing the heat transfer according to the temperature field distribution characteristics, and the simulation and experimental verification were carried out, respectively. The findings demonstrate that the meth... [more]
Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network
Ke Wang, Min Zhang, Qiang Guo, Weifeng Ma, Yixin Zhang, Wei Wu
September 20, 2023 (v1)
Keywords: failure risk, girth welds, pipeline, sample selection
Pipelines are the most economical and sensible way to transport oil and gas. Long-distance oil and gas pipelines consist of many steel pipes or pipe fittings joined by welded girth welds, so girth welds are an essential part of pipelines. Owing to the limitations of welding conditions and the complexity of controlling weld quality in the field, some defects are inevitably present in girth welds and adjacent weld areas. These defects can lead to pipeline safety problems; therefore, it is necessary to perform failure risk assessment of pipeline girth welds. In this study, an artificial neural network model was proposed to predict the failure risk of pipeline girth welds with defects. Firstly, many pipeline girth weld failure cases, pipeline excavation, and inspection data were collected and analyzed to determine the main factors influencing girth weld failure. Secondly, a spatial orthogonal optimization method was used to select training samples for the artificial neural network model to... [more]
Evaluation of the Capsaicinoid Extraction Conditions from Mexican Capsicum chinense Var. Mayapan with Supercritical Fluid Extraction (SFE)
Kevin Alejandro Avilés-Betanzos, Matteo Scampicchio, Giovanna Ferrentino, Manuel Octavio Ramírez-Sucre, Ingrid Mayanin Rodríguez-Buenfil
September 20, 2023 (v1)
Keywords: antioxidant capacity, capsaicinoids, Capsicum chinense, supercritical fluid extraction
Capsaicin (Cp) is a secondary metabolite produced by the Capsicum plant family. This molecule exhibits various biological properties such as antioxidant capacities, anti-obesogenic effects, and antidiabetic properties, among others. However, conventional extraction methods for Cp present several disadvantages including toxicity, extraction time, and low purity. Therefore, the utilization of supercritical fluid extraction techniques represents a viable option for obtaining highly pure and low-toxicity oleoresins (capsaicin-rich extracts). This approach involves the use of CO2 in the supercritical state and finds applicability in the pharmaceutical, food, and cosmetic industries. The Capsicum chinense variety from the Yucatán Peninsula is a crop with significant economic impact in the region, due to having the highest concentrations of Cp in Mexico. This significant characteristic is attributed to its adaptation to the unique conditions (climate, soil, solar radiation, humidity) of the s... [more]
Special Issue “Process Safety in Coal Mining”
Feng Du, Aitao Zhou, Bo Li
September 20, 2023 (v1)
Subject: Other
As an important natural resource, coal plays a critical role in social and economic development [...]
Research and Development of Anti-High-Pressure Sealing Material and Its Bonding Performance
Shigang Hao, Xianzhong Li, Tao Wu, Weilong Zhou, Jinhao Zhang
September 20, 2023 (v1)
Subject: Materials
Keywords: bond performance, fiber materials, fractal dimension, high-pressure sealing materials, hydraulic fracturing
To solve the problem of the field application of downhole hydraulic fracturing technology due to the difficulty in sealing holes, this study analyzes the influence of special cement, expansion agents, stabilizers, and fiber material on basic properties, such as the setting time, fluidity, and compressive strength of high-pressure sealing materials through systematic tests based on a summary of conventional sealing materials. It was determined that with 20−30% special cement and 4% expansion agent added, and a fiber material length of 8 mm and volume of 1%, the high-pressure sealing material had high fluidity and a large expansion rate, demonstrating early strength. The bond performance of the high-pressure sealing material was tested through the variable-angle shear test. The relationship between the fractal dimension of the coal-rock mass around the borehole and the bond performance of the high-pressure sealing material was also explored.
Intelligent Control of Wastewater Treatment Plants Based on Model-Free Deep Reinforcement Learning
Oscar Aponte-Rengifo, Mario Francisco, Ramón Vilanova, Pastora Vega, Silvana Revollar
September 20, 2023 (v1)
Keywords: intelligent control, model-free deep reinforcement learning, reusing policy, waste water treatment plant
In this work, deep reinforcement learning methodology takes advantage of transfer learning methodology to achieve a reasonable trade-off between environmental impact and operating costs in the activated sludge process of Wastewater treatment plants (WWTPs). WWTPs include complex nonlinear biological processes, high uncertainty, and climatic disturbances, among others. The dynamics of complex real processes are difficult to accurately approximate by mathematical models due to the complexity of the process itself. Consequently, model-based control can fail in practical application due to the mismatch between the mathematical model and the real process. Control based on the model-free reinforcement deep learning (RL) methodology emerges as an advantageous method to arrive at suboptimal solutions without the need for mathematical models of the real process. However, convergence of the RL method to a reasonable control for complex processes is data-intensive and time-consuming. For this rea... [more]
Development of a Novel Multi-Modal Contextual Fusion Model for Early Detection of Varicella Zoster Virus Skin Lesions in Human Subjects
McDominic Chimaobi Eze, Lida Ebrahimi Vafaei, Charles Tochukwu Eze, Turgut Tursoy, Dilber Uzun Ozsahin, Mubarak Taiwo Mustapha
September 20, 2023 (v1)
Subject: Biosystems
Keywords: chickenpox, deep-learning, mixed-scale hierarchical attention (MSHA), shingles, skin lesions
Skin lesion detection is crucial in diagnosing and managing dermatological conditions. In this study, we developed and demonstrated the potential applicability of a novel mixed-scale dense convolution, self-attention mechanism, hierarchical feature fusion, and attention-based contextual information technique (MSHA) model for skin lesion detection using digital skin images of chickenpox and shingles lesions. The model adopts a combination of unique architectural designs, such as a mixed-scale dense convolution layer, self-attention mechanism, hierarchical feature fusion, and attention-based contextual information, enabling the MSHA model to capture and extract relevant features more effectively for chickenpox and shingles lesion classification. We also implemented an effective training strategy to enhance a better capacity to learn and represent the relevant features in the skin lesion images. We evaluated the performance of the novel model in comparison to state-of-the-art models, incl... [more]
Performance Analysis of Organic Rankine Cycle with Internal Heat Regeneration: Comparative Study of Binary Mixtures and Pure Constituents in Warm Regions
Muhammad Ehtisham Siddiqui, Eydhah Almatrafi, Usman Saeed
September 20, 2023 (v1)
Keywords: binary mixtures, exergy performance, heat transfer, organic Rankine cycle, specific net power output, warm regions
There are various organic compounds that can be utilized in the organic Rankine cycle as working fluids. The selection of a suitable working fluid is complicated due to the large number of options and factors affecting the choice, such as thermodynamic properties, environmental impact, cost, etc. This study evaluates seven different pure organic compounds and twenty-one of their binary zeotropic mixtures as potential working fluids for the organic Rankine cycle powered by a heat source at 200 °C. The pure organic fluids show higher exergy efficiency, higher specific net power output, and lower heat exchange area requirements compared to the binary mixtures. Among the pure fluids, RE347mcc performs the best in terms of exergy efficiency, followed by neopentane, isopentane, and pentane. Cyclopentane exhibits the highest power production capacity per unit mass flow rate of the working fluid. Two mixtures, pentane/Novec 649 and cyclopentane/Novec 649, showed significantly higher exergy eff... [more]
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