bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a rapid analysis system for pre-cooling process of large LNG full-capacity storage tank
Authors: Zhao Yunfei , Qian Caifu , Wu Zhiwei , Zhang Baohe , Wu Hao , Xia Huabo 
Published: October 2024

Abstract
In this paper, a quick analysis system for the pre-cooling process of large LNG tank was developed, based on ANSYS-Python. The system has the functions of establishing geometric model automatically, dividing grid automatically and solving automatically. Operation of the system is simple with high efficiency. Comparison with the field data results found that the quick analysis system is accurate to meet the requirements of engineering application. The quick analysis system is helpful to optimize the pre-cooling process and the structure of large LNG full-capacity tanks
Study on the effects of accident-tolerant fuels on the safety of CPR1000 nuclear power plants
Authors: Liu Mengying , Xu Haode , Liu Pingping 
Published: October 2024

Abstract
In this paper, CPR1000 Nuclear power plant was taken as the reference unit. According to CPR1000 Probabilistic Safety Analysis (PSA), the Large Break loss of coolant accident (LOCA), Medium Break LOCA, Small Break LOCA, Station Blackout (SBO), Total Loss of Feed water (TLOFW) and Anticipated transient without trip (ATWT) with Loss of Main Feed water (LOMF) were selected as the representative accident scenarios. The house holding deterministic programs LOCUST were used to analyze each of the above selected scenarios for five different accident tolerant fuels (ATF). The effects on accident process, reactor core damage time, system success criteria and personnel response time were analyzed under the above scenarios. The above results for the five ATF materials were compared to those for standard UO2-Zr in the same scenarios, then some useful conclusions were obtained which can be used to support ATF material selection. In the end, based on the deterministic calculations, the effects of different ATF materials on CPR1000 PSA results such as core damage frequency (CDF) were evaluated in detail with traditional PSA software Risk Spectrum. According to the results, ATFs have some advantages on core damage time, success criteria or operators’ action time window. But the CDF was changed little compared to standard UO2-Zr system. Through the studies, it is found the most important thing is that due to the much longer time windows some new plant modifications can be provided to mitigate the accidents which can contribute to the plant safety and decrease risk more.
Theoretical study of the mechanism of 2F-molecular sieve domain chiral transition of Asn molecules
Authors: Zhu Ying , Bao Jie , Chen Hongbin 
Published: October 2024

Abstract
Using density functional theory at the level of oniom (b3lyp/6-31g (d, p): uff), we investigated the chiral transition process of the Asparagine molecule in 2F-MOL. Furthermore, a complete chiral transition path reaction potential energy surface was drawn by looking for the extreme value point structures including the transition state and intermediate. The results show that the hydrogen atom on the chiral carbon atom of S-Asparagine molecule can transfer to the other side of the carbon atom via the oxygen atoms of carboxyl atoms as a bridge, to achieve the chiral transition of Asparagine molecule from S-type to R-type. On this path there is four intermediate and five transition states. The biggest reaction energy barrier is 243.9089KJ/mol derived from the fourth transition state TS1-R-Asn@2F-MOL.
Obtaining frequency-time diagram from perturbation signal-time diagram
Authors: Liu Xiaoyuan , Zhang Yuxin , Dai Runrui , Lai Zongqiang , Qiu Huibin , Shen Chengshuo , Weng Huang , Wu Shengfa , Zheng Wei , Zhang Wei , Liang Wenxiang , Han Qianhao , Li Xiaobin , Liu Lihuan , Shi Chunhui , Xu Ting , Zhang Haotian , Fan Jiayu , Yu Meiping , Tao Jiajun 
Published: October 2024

Abstract
In the field of nuclear fusion energy development, magnetic confinement tokamak reactors, which use strong magnetic fields to confine high-temperature plasmas, are crucial for sustainable and clean fusion energy. Disruption caused by plasma instability can terminate the fusion reaction and even cause irreparable damage to the equipment. Therefore, a thorough understanding of the underlying physical mechanisms is essential for predicting and preventing plasma disruption. The recently proposed analytical theory of plasma disruption may predict and prevent plasma disruption, but its validation requires the frequency-time signals. The Heavy Ion Beam Probe (HIBP) can provide such signals, however, because its scarcity in the world, particularly in China, it is necessary to develop more suitable methods. Here we show a new approach that employs Fast Fourier Transform (FFT) on magnetic perturbation signals to obtain frequency-time diagrams. We successfully applied this algorithm to acquire the frequency-time diagram of the J-TEXT-1054560 discharge. This new method offers an effective tool for validating the plasma disruption theory, overcoming the limitations of traditional techniques and providing a crucial methodological basis for understanding and predicting plasma disruption. This new analytical approach will accelerate the advancement of fusion technology.
BEIT-based and feature extraction unsupervised clustering algorithm for wafer patterns
Authors: Shao Kangpeng , Wang Xiaofei , Jiang Hui 
Published: October 2024

Abstract
In the wafer manufacturing process, a multitude of electrical tests are conducted, with each test generating a measurement value at the corresponding location. The distribution of different consecutive test values on a wafer constitutes a wafer pattern. Accurate classification of wafer patterns is essential for tracing the root causes of issues and optimizing the manufacturing process. Traditional pattern classification algorithms rely on supervised learning, which necessitates extensive manual labeling of samples for model training. To optimize the consumption of human resources, we propose an unsupervised clustering algorithm for wafer patterns based on BEIT and feature extraction. This method not only meets the requirements for analyzing and tracing problems but also eliminates the need for manual labeling, thus conserving resources. The final experimental results show that our method, compared to the BEIT model, has increased the JC (Jaccard Coefficient) index by 16.2 percentage points when the clustering sample size reaches 50%, and has improved by 14.4 percentage points on the FM (Fowlkes and Mallows) index.
Performance evaluation of cyclone models for similar body diameter and flowrate using CFD
Authors: Kumar Manoj , Prakash Om , Pandey Satyanand , Singh Sandhir Kumar , Brar Lakhbir Singh 
Published: October 2024

Abstract
The present study performs numerical simulations of a few popular medium-to-high efficiency cyclone models viz. Stairmand cyclone, Swift cyclone, Patterson-Munz cyclone, Obermair cyclone, and Lapple cyclone to compare their performance. The reason to undertake this study is that these models are widely used for benchmark studies or for the validation by the researchers. Earlier, all these geometries were investigated experimentally by respective inventors that bear different sizes. Hence, for the sake of performance comparison, the diameter (D = 0.29 m) and a volume flow rate (Q = 0.135401 m3/s) of the fluid in all the models is the same - the latter is used to calculate the inlet velocity in each cyclone model. We have not considered a similar Reynolds number condition for comparison as it will change the volume flow rate of the flow. Apart from the pressure drop and collection efficiency values, we present the details of the flow field inside each model. Conclusive results indicate that the Patterson-Munz cyclone has the lowest pressure drop while the Swift cyclone has the highest collection efficiency. Interestingly, the cut-off diameter in the swift cyclone is found to be minimum.
Heat Transfer Through a Heated Rod Placed in Different Arrangements
Authors: Kunal  , Dhiman Sushil Kumar 
Published: October 2024

Abstract
The present work experimentally analyses the surface heat transfer from a thermally active copper rod of circular cross-section placed in different arrangement of dummy rods. All the rods are arranged in cross-flow. Wind-tunnel experiments for nine different arrangements of heated rod at a Reynold’s number of 12600 were investigated. Temperature variation, heat transfer and vertical velocity distribution downstream of the cylinder were studied. Higher heat transfer rate was obtained when the heated rod was placed in downstream position due to the rubbing action of vortex shedding phenomena of upstream rod. Maximum heat transfer rate was reported in tandem arrangement of rod with the thermally active cylinder placed in the downstream row. The wall effect becomes dominant near the wall region and affects the flow and heat transfer in the vicinity of wall. Pressure and logarithmic value of temperature has been reported at suitable positions to explain the thermofluid physics.
Comparative Study on DI Diesel Engine Performance and Emissions using HCP microalgae biodiesel, Mahua oil biodiesel, Rubber seed oil biodiesel and Petroleum diesel
Authors: Jagadevkumar AP 
Published: October 2024

Abstract
Energy consumption of the world is increasing hence the prices of fuels are increasing. Fossil fuels are the major source of energy but they are depleting in nature and they may exhaust in future. So we cannot depend on these sources and biofuels can be considered as substitute for fossil fuels, hence lot of researchers are doing extensive research on biofuels. So it is important to study the performance of different biofuels to find suitable one in terms of food crisis and better engine performance. Accordingly in this study the performance and emissions characteristics of Rubber seed oil, Mahua oil and microalgae oil biodiesels are studied. The results of this comparison study carried with HCP-B20, MO-B20 and RSO-B20 biodiesel blends indicates that the performance of HCP-B20 blend is better and emissions are lower compared to MO-B20 and RSO-B20 blends. The higher content of oxygen present in the microalgae biodiesel leads to higher rate of combustion reactions, in turn complete flame propagation and improved combustion. The BTE is lower with HCP-B20, MO-B20 and RSO-B20 compared to PD. Added advantage with this microalgae biofuel is, it is non-edible, it doesn’t require fertile land for its growth. So HCP-B20 blend may be viable for the commercial application.
Elucidating the Impact of Mn-Fe Substitution on The Crystal Structure of LiMn(x)Fe(1-x)PO4 Solid Solutions: A Theoretical Study
Authors: Jaafar Zahraa M. , Jumah Thamir Abdul-Jabbar , Mahmood Natheer B. 
Published: October 2024

Abstract
This study generated crystallography information files (CIF) to synthesize LiMn(x)Fe(1-x)PO4 solid solutions, with the Mn to Fe substitution ratio (x) ranging from 0 to 1 in 0.1 increments, guided by Vegard’s law, utilizing crystallography software. The investigation focused on how this substitution influences key structural parameters and properties within the Mn-Fe Olivine system. Specifically, it examined variations in lattice parameters, unit cell volume, cell density, and Theoretical capacity attributable to the substitution factor. Furthermore, X-ray diffraction (XRD) patterns, predicted using mathematical models through the same software, provided insights into structural changes. Notably, the XRD analysis revealed a progressive shift in peak positions and an increase in peak intensities corresponding to the substitution level. These observations were linked to the altered lattice parameters resulting from the introduction of ions with varying ionic radii, and an enhanced electron density stemming from the increased presence of Fe. This comprehensive analysis underscores the significant impact of Mn-Fe replacement on the microstructural characteristics and electron density of the olivine system, offering valuable insights into material design and optimization in the context of energy storage materials.
Energy management of residential buildings using innovative passive techniques
Authors: Kandil Ahmed , Emam Mohamed , Sekiguchi Hidetoshi , Nada Sameh 
Published: October 2024

Abstract
Recently, efforts on sustainability and energy savings in buildings have increased due to the growing global awareness of the energy use of buildings and the negative impacts of carbon dioxide emissions on climate change. As a result, it is critical to propose effective strategies to reduce such energy consumption. The goal of this project is to advance the idea of net-zero energy buildings as a worldwide mitigation method for climate change. Thus, a numerical model was developed and validated to investigate the passive cooling capabilities of an innovative phase change material (PCM)-based phase cube in residential buildings. The proposed phase cube includes six various PCM-compact storage module (PCM-CSM) configurations including Rubitherm’s SP-24E plates (Horizontal), Half Circular Inline, Half Circular Staggered, Vertical plates, Inline Cylindrical and Staggered Cylindrical compact storage modules. All the proposed designs were numerically simulated, and the obtained results were compared and analysed at an inlet air temperature and velocity of 35°C, and 4m/s, respectively and each phase cube contained the same mass of Rubitherm’s SP-24E PCM, which was 30.326 kg. The results showed that the Horizontal, Half Circular Inline and Vertical phase cubes can absorb heat at a higher rate from fresh air at nearly 496.19w, 465.9w and 458.16w, respectively translating the lowest outlet air temperature of about 25°C from the cube. Integrating such phase cubes into residential buildings for indoor passive air cooling substantially decreased the building cooling loads, resulting in reduced electric energy consumption by the air conditioning system.
Building retrofitting towards net zero energy under climate change
Authors: Ibrahim M , Harkouss F , Biwole P , Fardoun F , Oultboukhtine S 
Published: October 2024

Abstract
The challenge in Net-Zero Energy Building (NZEB) retrofitting is to identify the most effective measures to address energy performance issues. This paper presents a machine learning model for optimizing retrofit measures to achieve NZEB under the influence of climate change. Specifically, the non-dominated sorting genetic algorithm (NSGA-III) minimizes energy consumption and the predicted percentage of dissatisfaction (PPD) while achieving a NZE balance, thereby obtaining the Pareto front. The Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking technique is then applied to the Pareto front to obtain an optimal solution. Various passive energy retrofit measures are investigated, and renewable retrofit measures are employed to cover the required energy. This process is repeated for different time frames to consider the impact of climate change on selecting retrofit measures. The results clearly indicate that, for retrofitting a residential NZEB, higher insulation values are needed for future scenarios compared to the present scenario due to the effects of climate change. Using the future scenarios defined by the Shared Socioeconomic Pathways framework, a higher level of envelope insulation and renewable retrofit measures are required to achieve NZEB in the Sustainable Future scenario compared to the Fossil Fuel-dependent Future scenario, with increases of 35% and 50%, respectively.
The operational matrices for Elliptic Partial Differential Equations with mixed boundary conditions
Authors: Enadi Myasar Obaid , Al-Jawary Majeed A. 
Published: October 2024

Abstract
The purpose of this research is to implement the orthogonal polynomials associated with operational matrices to get the approximate solutions for solving two-dimensional elliptic partial differential equations (E-PDEs) with mixed boundary conditions. The orthogonal polynomials are based on the Standard polynomial (xi
), Legendre, Chebyshev, Bernoulli, Boubaker, and Genocchi polynomials. This study focuses on constructing quick and precise analytic approximations using a simple, elegant, and potent technique based on an orthogonal polynomial representation of the solution as a double power series. Consequently, a linear partial differential equation is transformed into a linear algebraic system which is solved by the Mathematica®12. Approximate solutions can be found if the answers are polynomials in and of itself. Three applications involving well-known linear problems Laplace, Poisson, and Helmholtz equations have been solved by using the proposed methods, and a comparison of the approaches has been provided. Furthermore, the computation of the error norm L∞
has been done to show the accuracy of the suggested approaches. The results clearly demonstrate how precise, efficient, and dependable the proposed methods are in obtaining rough solutions to the problem. Bernoulli was one of the best methods in most examples.
Comparison of interaction supervised classification methods with indices to identify areas contaminated with hydrocarbons
Authors: Khaleel Zahraa A. , Shaban Auday H. , Al Maliki Ali A. 
Published: October 2024

Abstract
Field companies and laboratories impose certain controls to preserve the environment, and it has recently been proven that oil facilities are among the main causes of pollution in the environment due to non-compliance with environmental safety instructions and the quantities of crude oil extracted on a daily basis. In this study, some of the remote sensing techniques were used, which is interaction supervised classification by relying on data Real field samples. The study area was classified based on dividing the study area into five regions. To determine the effective ranges for detecting hydrocarbon pollution, it will apply four indices to find out which of them gives better results, based on the range of the wavelength that response to the hydrocarbon components. The image from Landsat were downloaded at the same date of collecting the samples. Adaptive methods were generated along with the four indices and evaluated through an assessment’s methods. The adaptive method gives a magnificent result to be used in detecting hydrocarbon contamination.
Effect of chitosan and natural materials on properties of polyvinylchloride for blood bags applications
Authors: Saadi Furqan M , Salih Wafaa M , Mohammed Alaa A 
Published: October 2024

Abstract
Polyvinyl chloride is the most common material used in the manufacture of blood bags, and chitosan and wheat extract were used to improve the biological, physical, mechanical and optical properties of the manufactured blood bag. Chitosan was added at three concentrations (1, 2, and 3%) to the PVC matrix sample, and the wheat extract was supplemented to the sample having the highest properties to study its effect. It was found that the addition of chitosan led to an increase in tensile strength, as well as a significant increase in inhibition against the bacterial activity of two types of bacteria (S. aureus and C. albicans), and the ability to absorb water, but the addition of wheat extract led to a very small decrease in absorbency. Also, the supplement of chitosan and wheat extract reduced the transparency of the manufactured blood bag. All samples were characterized as not having the ability to non-hemolytic in the hemolysis test. All the results of polymer blends and polymer composite were compared with the pure PVC and commercial blood bags as reference samples.
Assessment of the Influence of Input Parameters in CFD Simulation of Ventilation in an Experimental Chamber
Authors: Kucirek P. , Šikula O. 
Published: October 2024

Abstract
The aim of this paper is to evaluate the impact of selected input parameters on the accuracy and usability of CFD simulations. This paper compares the achieved results of Computational Fluid Dynamics (hereinafter CFD) simulations of air age with the ventilation results of a specific experimental box. A total of 16 variants were simulated for different simulation settings, including various computational domains and meshes in OpenFOAM, Ansys Fluent, DesignBuilder, and BlueCFD-AIR software. The paper primarily focuses on the importance of meeting the suitability criterion for the yPlus parameter used in the wall function of turbulent models k-ε and k-ω SST, and the resulting air age. Simulation with the best yPlus parameter shows the best agreement in airflow velocity and air age with the experiment. Overall, this led to an improvement in accuracy by 41 % compared to original simulation and 56 % compared to the previous our best OpenFOAM simulation.
Mould Risk in Technical Room in Four Underground Water Reservoirs
Authors: Nováková I. , Sikula O. 
Published: October 2024

Abstract
This conference article analyses the indoor climate of a technical room in four underground water reservoirs. This indoor climate with minimal input energy is specific by high relative humidity and low air temperature, as shown in the experimental measurement. The unsteady 2D numerical simulation of the detail section (partly sub-terrain peripheral wall and floor) in software Calculation Area 4.0e calculates fluctuation of internal surface temperature and relative humidity. Finally, the empirical predictive Finnish VVT model predicts the seasonal mould risk on the internal surface of the peripheral wall.
Investigation of the hybridization effect of glass fibers and diboron trioxide epoxy composites on some mechanical properties
Authors: Oleiwi Ahmed H. , Hasan Mustafa Th. , Hashim Hassanein A. 
Published: October 2024

Abstract
The mechanical behavior was most important in industry, and one way to enhance the mechanical properties involves preparing hybridized epoxy composites. Different additives (glass fiber and B2O3 powder) have various concentrations (0, 5, 10, 20, and 30% wt.) for B2O3, while glass fibers have a fixed concentration (10% wt.). Hybrid epoxy composites have been manufactured by the hand lay-up method. Mechanical investigations involve tensile tests, impact tests, and hardness tests. According to the results, increasing the boric oxide concentration increased the examined mechanical characteristics (strength, stiffness, strain-at-break, hardness, toughness, and fracture toughness). Hybrid materials with a weight percentage of 20% B2O3 and 10% glass fibers had the best mechanical properties. These findings are most likely due to the reinforcing elements being evenly distributed and scattered, which enhances mechanical characteristics. A slight decrease in the mechanical properties of the composite at 30% weight percentage of B2O3 and 10% glass fibers, which is related to the presence of voids and agglomerations, is thought to be a sign that the material has reached the saturation level of reinforcement and that the mechanical properties of the structure will collapse if more reinforcing materials are added.