Canadian Journal of Chemical Engineering最新文献

{"title":"Numerical study of gas–solid flow characteristics of cylindrical fluidized beds based on coarse-grained CFD-DEM method","authors":"Zhong Tang,&nbsp;Zhenzhong Li,&nbsp;Shanglong Huang,&nbsp;Chen Yang","doi":"10.1002/cjce.25455","DOIUrl":"10.1002/cjce.25455","url":null,"abstract":"<p>The existing researches lack the comprehensive comparison of the performance of two-fluid model (TFM) and computational fluid dynamics-discrete element model (CFD-DEM) using a cylindrical fluidized bed as a research object. In addition, the applicability of rotational periodic boundary conditions in CFD-DEM simulations of cylindrical fluidized beds is still unclear. Therefore, taking cylindrical fluidized bed as the object and studying the performance of different simulation methods can provide guidance for the selection of simulation methods in subsequent related studies. In the present study, TFM and coarse-grained CFD-DEM were used in simulations of the fluidized bed to evaluate the performance of different numerical methods. Furthermore, the applicability of rotating periodic boundary conditions in CFD-DEM simulations was investigated. The results show that TFM and coarse-grained CFD-DEM perform in general agreement in predicting macro variables (e.g., overall pressure drop and bed height). However, radial void fraction distribution and void fraction probability density function (PDF) distribution of CFD-DEM agreed better with the experimental data. CFD-DEM simulations with rotational periodic boundary conditions applied showed lower predicted void fraction PDF peaks at packed bed heights and poorly modelling particle mixing in the central of cylindrical fluidized bed due to changes in the boundary conditions as well as the number of particle parcels. Therefore, both TFM and CFD-DEM can obtain reasonable macro variables, but CFD-DEM predicted more accurate gas–solid two-phase distribution. The CFD-DEM with rotating periodic boundary conditions could not reasonably predict the pressure drop and gas–solid two-phase distribution inside the cylindrical fluidized bed.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1917-1936"},"PeriodicalIF":1.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study on enhancing oil recovery efficiency through bubble displacement based on microfluidic technology","authors":"Fan Xu,&nbsp;Yujie Jin,&nbsp;Yiqiang Fan","doi":"10.1002/cjce.25456","DOIUrl":"10.1002/cjce.25456","url":null,"abstract":"<p>Tight sandstone contains a large number of oil and gas resources, but because of its ultra-low porosity, permeability, and strong hydrophilicity, the oil recovery is low. Microfluidic technology, as an emerging research technique, offers advantages in visualizing fluid flow, reducing experimental reagent consumption, and accurately simulating the pore structure of sandstone using microfluidic chips. This study presents an effective research methodology for improving tertiary oil recovery efficiency in sandstone. By analyzing pore slice images of sandstone cores and employing image processing techniques, the study extracted characteristic dimensions of the sandstone and designed a microfluidic chip. A displacement system was constructed using high-speed cameras, constant-pressure pumps, and microscopes to monitor the oil displacement process. A bubble generation device based on ultrafiltration membranes was proposed to introduce generated bubbles into the microfluidic chip with a sandstone structure for oil displacement studies. Real-time monitoring of the displacement process was conducted. Water and foam were used as displacing agents to investigate the displacement process in the microfluidic chip mimicking the sandstone core structure. Additionally, analysis and comparison were performed on foam formulation, surfactant concentration, and foam proportion, quantitatively evaluating the oil displacement efficiency under various experimental conditions. The proposed research is helpful for the understanding of the foam flooding process on a micro-scale and of significant application potential for the enhanced oil recovery of sandstone reservoirs.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1450-1460"},"PeriodicalIF":1.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing hydrothermal carbonization for enhanced energy production from algal biomass with high moisture content","authors":"Kanta Nakano,&nbsp;Numan Luthfi,&nbsp;Takashi Fukushima,&nbsp;Kenji Takisawa","doi":"10.1002/cjce.25457","DOIUrl":"10.1002/cjce.25457","url":null,"abstract":"<p>Recently, the depletion of fossil fuels has become an issue, prompting the search for sustainable alternatives. Algal biomass has gained considerable attention as a promising renewable energy source because of its high production efficiency and adaptability to external environment. However, its high-moisture content escalates the energy requirement during the thermal drying process in algal biomass production. Thus, we proposed a new energy production system using hydrothermal carbonization, which requires no pretreatment even for high moisture content biomass, making it compatible with such materials. Herein, we investigated the decrease in moisture content of algal biomass through hydrothermal carbonization and its effect on the energy production and energy balance of algal biomass. The results showed that hydrothermal carbonization at 240°C for 3 h produced hydrochar with a moisture content of 34.6%. It was found that it was due to changes in surface structures, such as C<span></span>H, CO, and O<span></span>H functional groups, using scanning electron microscopy (SEM) and Fourier transform infrared (FT-IR) analysis. However, the greatest reduction in production energy, 45%, was achieved at 240°C for 4 h. The optimal energy balance was obtained for hydrothermal carbonization at 220°C for 4 h, for which energy production was 2.7 times more efficient than that achieved by conventional methods.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1673-1682"},"PeriodicalIF":1.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25457","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coalescence investigations in a small-scale continuously operated setup for bubble column design","authors":"Mark Werner Hlawitschka,&nbsp;Andreas Schleiffer,&nbsp;Jonas Schurr,&nbsp;Stephan Winkler,&nbsp;Daniel Danner","doi":"10.1002/cjce.25458","DOIUrl":"10.1002/cjce.25458","url":null,"abstract":"<p>A novel micro-channel technique for analyzing the coalescence of bubbles and obtaining relevant information for the creation of a coalescence database is presented. The micro-channel improves the coalescence investigations by a continuously operated setup, reduces the accumulation of impurities and increases the amount of recorded data. To introduce the new setup, studies with alcoholic, electrolytic aqueous systems and liquid silicone oil as a second liquid are presented, showing the influence of different concentrations. Artificial intelligence has been successfully developed to automate data generation. This approach improves the understanding of bubble coalescence by introducing a reproducible setup. Furthermore, it facilitates the transition to a predictive column design through data-based decisions and modelling.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 4","pages":"1902-1916"},"PeriodicalIF":1.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25458","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of viscous dissipation, temperature dependent thermal conductivity, and local thermal non-equilibrium on the heat transfer in a porous channel to Casson fluid","authors":"Rajvinder Kaur,&nbsp;Sapna Sharma,&nbsp;Avinash Chandra","doi":"10.1002/cjce.25459","DOIUrl":"10.1002/cjce.25459","url":null,"abstract":"<p>The current paper deals with viscous dissipation effects in a permeable (or porous) channel filled with non-Newtonian Casson fluid by considering the local thermal non-equilibrium (LTNE) model. The dependency of the effective thermal conductivities of the solid and fluid phases on the respective temperatures has been studied along with the spatially varying Biot number. The Brinkman number <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>Br</mi>\u0000 </mfenced>\u0000 <mo>,</mo>\u0000 </mrow></math> Casson fluid parameter <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>γ</mi>\u0000 </mfenced>\u0000 </mrow></math>, thermal conductivity variation parameter <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>δ</mi>\u0000 </mfenced>\u0000 </mrow></math>, porosity <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>ϵ</mi>\u0000 </mfenced>\u0000 <mo>,</mo>\u0000 </mrow></math> Darcy number <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mi>Da</mi>\u0000 </mfenced>\u0000 </mrow></math>, and the ratio of fluid and solid phase thermal conductivities <span></span><math>\u0000 <mrow>\u0000 <mfenced>\u0000 <mrow>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mi>r</mi>\u0000 </msub>\u0000 <mo>=</mo>\u0000 <mfrac>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mi>f</mi>\u0000 </msub>\u0000 <msub>\u0000 <mi>k</mi>\u0000 <mi>s</mi>\u0000 </msub>\u0000 </mfrac>\u0000 </mrow>\u0000 </mfenced>\u0000 </mrow></math> are the main governing parameters. The Darcy–Brinkman model is employed to govern the fluid flow in permeable media and the velocity profile has been obtained analytically. Moreover, the energy equations for both phases along with suitable boundary conditions are derived and solved with the fourth order boundary value solver. The findings of the current study depict that the Nusselt number increases with the increment in Casson fluid parameter and decreases with the increment in Brinkman number and thermal conductivity variation parameter. Overall, the heat transmission between the solid and fluid phases increases with the decrement in Brinkman number and thermal conductivity variation parameter. On the other hand, the heat transmission between both the phases magnifies by increasing the value of Casson fluid parameter.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 11","pages":"3744-3755"},"PeriodicalIF":1.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of raw material on thermo-physical properties of carbon foam","authors":"Mohammad Rajab Al-Majali,&nbsp;Mingcong Zhang,&nbsp;Yahya T. Al-Majali,&nbsp;Jason P. Trembly","doi":"10.1002/cjce.25448","DOIUrl":"10.1002/cjce.25448","url":null,"abstract":"<p>Carbon foam materials are currently used in several industrial and engineering applications due to their outstanding properties. The properties of carbon foam can be altered through the manufacturing processes applied in specific applications. In this paper, we collected and analyzed four samples manufactured by CFOAM and one sample developed by Ohio University (OU) to understand the behaviour of this material and determine its properties. We utilized advanced techniques to experimentally measure and determine the following properties: pore size and volume, porosity, specific surface area, mass, density, and thermal conductivity. Among the samples, the low-porosity CFOAM (CF35) and the OU sample exhibited higher specific surface areas and densities compared to the others. However, CF35 demonstrated the highest thermal conductivity, while OU displayed the lowest. As a result, CF35 emerges as the optimal choice for applications requiring high-rate heat transfer, while the remaining CFOAM samples are well-suited for lightweight applications. Thus, OU foam proves to be a highly suitable candidate for insulation applications such as building sidewalls.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1309-1318"},"PeriodicalIF":1.6,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142195345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning and metaheuristics in microfluidic transport characterization and optimization: CFD and experimental study integrated with predictive modelling","authors":"Afshin Kouhkord,&nbsp;Moheb Amirmahani,&nbsp;Faridoddin Hassani,&nbsp;Naser Naserifar","doi":"10.1002/cjce.25430","DOIUrl":"10.1002/cjce.25430","url":null,"abstract":"<p>This study presents a comprehensive numerical and experimental analysis on microfluidic cell lysis through computational fluid dynamics (CFD), data-driven modelling, and multi-objective optimization. The proposed intelligent framework integrates artificial intelligence and CFD for data generation and extraction, alongside machine learning analysis and experimental studies for transport phenomena characterization in the cell lysis process. The framework explores compound effects of various inflow Reynolds numbers and geometrical parameters, including obstacle configurations and microchannel thickness. It shows substantial effects on flow patterns and mixing in varied microfluidic designs. A surrogate model, developed via central composite design, exhibits high accuracy in assessing system functionality (<span></span><math>\u0000 <mrow>\u0000 <msup>\u0000 <mi>R</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 <mo>&gt;</mo>\u0000 <mn>0.92</mn>\u0000 </mrow></math>). The height of the implemented baffles from its lower value to the upper bound resulted in more than 42% and 14% increase in the mixing index at low and high Reynolds numbers, respectively, with minimal impact on pressure drop. The framework introduces data-driven modelling coupled with multi-objective optimization by desirability function (DF), non-dominated sorting genetic algorithm (NSGA-II), and differential evolution (DE). In the optimization of microfluidic processes, machine learning algorithms outperform desirability-based methods, and the DE algorithm surpasses the NSGA-II. An optimum micromixing reducing the mixing length by over 50% and mixing index above 97% achieved, fabricated, and experimental investigations conducted to validate numerical process. Through the precise control of microfluidic variables and the exploitation of microtransfer phenomena, it is possible to enhance the efficiency and selectivity of cell lysis. This not only improves the accuracy of diagnostic information but also opens up new avenues for personalized medicine and therapeutic development.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1400-1418"},"PeriodicalIF":1.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced EOR screening methodology based on LightGBM and random forest: A classification problem with imbalanced data","authors":"Masoud Seyyedattar,&nbsp;Majid Afshar,&nbsp;Sohrab Zendehboudi,&nbsp;Stephen Butt","doi":"10.1002/cjce.25433","DOIUrl":"10.1002/cjce.25433","url":null,"abstract":"&lt;p&gt;In an unstable oil market with volatile prices due to various natural and geopolitical factors, it is crucial for oil-producing companies to enhance the value of their assets by improving the recovery factors of petroleum reservoirs. Primary recovery through natural depletion or artificial lift and secondary recovery using waterflooding and immiscible gas injection typically recover no more than 10%–40% of the available reserves. A significant portion of the hydrocarbons remain unproduced if enhanced oil recovery (EOR) methods are not implemented. EOR projects are extremely costly, complex, and usually have long lead times from the decision-making and design phases to pilot and full-field implementations. Therefore, oil and gas operator companies need reliable insights into the best possible EOR options from the early stages of any field development planning. Since screening potential EOR choices is the first step in deciding future production scenarios, a smart EOR screening tool can add significant value by streamlining the EOR decision-making process. In this study, we developed an EOR screening tool based on two advanced machine learning classification algorithms, random forest and light gradient boosting machine (LightGBM). These tree-based ensemble learning classifiers were trained on an extensive dataset of 1384 worldwide EOR implementations, encompassing various reservoir conditions and reservoir rock and fluid properties as the feature space, to predict the EOR type as the class label. Considering EOR screening as a classification problem, an essential aspect of model development would be addressing the data imbalance of EOR datasets. To tackle this issue, the adaptive synthetic (ADASYN) sampling method was used to reduce classification bias by oversampling the training sets to achieve uniform class distributions. We designed an iterative model development procedure in which the classifiers were trained and tested on various training and test subsets split by stratified random sampling. For each classifier, the classification results at each iteration were used to build the confusion matrix and calculate model evaluation metrics (accuracy, precision, recall, and F1–score), which were then averaged over all independent runs to provide a fair assessment of classification performance. Moreover, binary receiver operating characteristic (ROC) curves were used to evaluate the classifier predictions and improvements obtained by oversampling. The results showed that both random forest and LightGBM classifiers made accurate class predictions, with LightGBM achieving slightly better classification performance in each modelling scenario (with or without oversampling). In both cases, the oversampling of the training dataset resulted in significant improvement of the classifiers, as evidenced by higher values of the evaluation metrics, leading to considerably more accurate EOR type predictions; specifically, oversampling boosted the prediction acc","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 2","pages":"846-867"},"PeriodicalIF":1.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141928313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of instability in the dynamic behaviour of a bubble","authors":"Qiang Li,&nbsp;Shaobo Lu,&nbsp;Jialin Liu,&nbsp;Mao Lei,&nbsp;Jiahan Gao,&nbsp;Weiwei Xu","doi":"10.1002/cjce.25444","DOIUrl":"10.1002/cjce.25444","url":null,"abstract":"<p>In order to obtain the laws of the bubble's dynamic behaviours, the interFoam solver in OpenFOAM was used to simulate the bubbles, and the experimental device was built to prove the reliability of the results. The Eötvös number (Eo) and the Galileo number (Ga) were used to classify the bubbles into four regions according to their different dynamic behaviours: straight line without deformation region, slight zigzag without deformation region, zigzag with slight deformation region, and zigzag with strong deformation region. Eo of bubbles in the straight line without deformation region is extremely small and is greatly influenced by surface tension. The bubbles do not deform and rise linearly along the axis of symmetry. Eo of bubbles in the slight zigzag without deformation region is still small and the bubbles do not deform, but the path is curved for a period of time. As the value of Eo increases, the bubble in the zigzag with the slight deformation region is weakened. The path is a regular zigzag, and the axisymmetric structure of the bubbles is destroyed. In the zigzag with the strong deformation region, the values of Eo and Ga are large. The path amplitude increases and the periodic law is broken. The bubble's deformation and vortex shedding interact with each other, both of which are the causes of the bubble's path instability.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1419-1432"},"PeriodicalIF":1.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selective adsorption of aromatic sulfonic acid from wastewater using a surface imprinted polymer: H-acid as a representative contaminant","authors":"Jiaqi Yao,&nbsp;Yue Sun,&nbsp;Yan Liu,&nbsp;Yingpeng Gu,&nbsp;Weisheng Zheng","doi":"10.1002/cjce.25432","DOIUrl":"10.1002/cjce.25432","url":null,"abstract":"<p>Aromatic sulfonic acids (ASAs) play a pivotal role as essential intermediates in numerous industrial manufacturing, while a large amount wastewater with various ASAs and high concentration of inorganic salts is subsequently generated. The effective separation and removal of ASAs from wastewater is challenging due to their complex chemical composition and the limited selectivity of common adsorbents. Herein, a novel surface imprinted polymer (H-SIP) with high selectivity and excellent salt resistance was designed with PEI/Cl-PS-DVB as the carrier and 1-amino-8-naphthol-3,6-disulfonic acid (H-acid) as the target pollutant. Compared to non-imprinted polymer (NIP), H-SIP exhibited superior salt resistance in the presence of Na₂SO₄ concentration ranging from 20 to 80 mg/L. The relative selectivity coefficients determined in the binary-solutes experiments proved that H-SIP demonstrated favourable selectivity towards H-acid in binary systems of H-acid/T-acid or H-acid/2-NSA. Moreover, H-SIP could effectively treat the simulated complex wastewater within 24 bed volume (BV) in the column adsorption, and the desorption rate exceeded 90% when eluted by NaOH solution and distilled water, respectively. Therefore, these results confirmed that surface imprinting technique was a promising method for effectively and selectively removal of ASA wastewater in the application.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 2","pages":"834-845"},"PeriodicalIF":1.6,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141931456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}