{"title":"Physical Model-based Rapid Quantitative Diagnosis of Solenoid On–Off Valve Spool Stiction Faults","authors":"Hao Tian, Sichen Li, Yongjun Gong","doi":"10.1007/s13369-024-09483-8","DOIUrl":"https://doi.org/10.1007/s13369-024-09483-8","url":null,"abstract":"<p>Solenoid valves enable flow and motion control functions in the fluid power systems. Even today, on-line diagnosis of fluid power systems still remains a challenging task due to the computational cost and availability of machine operation data sets. For the prior, rapid fault diagnosis of the solenoid fault is of great economic values to the reduction in downtime maintenance. For the latter, currently the data for training networks are the major obstacles, as some of the rare faults are simply unavailable from the usual maintenance data. Facing the challenges, this paper presents a new way of quantifying the spool stiction severeness, a common fault in the solenoid on–off valves, using a proposed coupled physical model, where only temporal features from the solenoid coil driving current were extracted and applied for rapid diagnosis, without the need of spool displacement information. A test system was constructed in laboratory and different settings of valve spool stiction from normal to completely jammed were realized on the hardware. The developed coupled model is validated experimentally and demonstrates the capabilities in capturing the stiction effects. The quantitative diagnosis model based on temporal feature vectors was also tested and compared to the true stiction level, and the proposed sigmoid weightings have shown high prediction accuracy. The initial results have shown that the proposed model can quantify the spool stiction degree with accuracy at least 90% and with computation time less than 500 ms with a CPU at lower than 1.3 GHz.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"62 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Liu Yang, Zhiduo Zhu, He Sun, Wangwen Huo, Yu Wan, Chen Zhang
{"title":"Development and Performance Evaluation of Waste Concrete Powder-Based Geopolymer Recycled Concrete","authors":"Liu Yang, Zhiduo Zhu, He Sun, Wangwen Huo, Yu Wan, Chen Zhang","doi":"10.1007/s13369-024-09376-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09376-w","url":null,"abstract":"<p>To achieve a green recycled concrete with excellent mechanical properties and workability, this paper utilized recycled concrete powder, fly ash and granulated ground blast furnace slag as primary materials. Recycled concrete aggregates served as coarse aggregates in the formulation of a recycled concrete powder-based geopolymer recycled concrete (RCPGRC). The study investigated the impact of additional water consumption (AWC), recycled fine aggregate content (RFAC) and the mass ratio of solid powder to aggregate (P/A) on both the mechanical property and workability of RCPGRC. Employing variance and range analysis, the research comprehensively assessed the contributing factors to the concrete's performance and identified the optimum mixture ratio. Characterization of the phase composition and micromorphology were characterized through X-ray diffraction and scanning electron microscopy. The results show that: (1) The AWC had the greatest influence on the unconfined compressive strength (UCS), slump, and setting times, while RFAC and P/A were smaller. AWC of 3%, RFAC of 10%, and P/A of 26% were the inflection points of the UCS, slump, and setting times with AWC, RFAC, and P/A, respectively. (2) The production rate and quantity of geopolymer gels production, as well as the cracks and voids, were affected when the mixture ratios deviated from these optimal inflection points. (3) These inflection points can be utilized as the indexes for rapid judge the optimum mixture ratio of RCPGRC.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radovan Nosek, Branislav Zvada, Peter Ďurčanský, Nikola Čajová Kantová, Pavol Mičko
{"title":"Numerical Analysis of Hydrogen-Enriched Natural Gas on Combustion and Emission Characteristics","authors":"Radovan Nosek, Branislav Zvada, Peter Ďurčanský, Nikola Čajová Kantová, Pavol Mičko","doi":"10.1007/s13369-024-09484-7","DOIUrl":"https://doi.org/10.1007/s13369-024-09484-7","url":null,"abstract":"<p>The integration of hydrogen into natural gas infrastructure presents a viable strategy for mitigating greenhouse gas emissions and advancing toward carbon neutrality. This study investigates the combustion characteristics and emissions profiles of hydrogen-enriched natural gas mixtures, specifically focusing on the composition of Russian pipeline natural gas. A comprehensive mathematical model was developed to predict emission concentrations and simulate fuel mixture combustion using MATLAB Simulink software. This versatile model facilitates further analysis within the MATLAB ecosystem. The simulation results demonstrate a significant correlation between the hydrogen content in the natural gas mixture and the resulting heat power output. With a constant fuel consumption rate, a notable decrease in heat power was observed as the hydrogen concentration increased, reaching a maximum reduction of 44.9% at a 45% hydrogen content. These findings underscore the feasibility of partially substituting natural gas with hydrogen, while also highlighting the necessity for increased fuel flow rates to maintain equivalent power output levels. This poses additional challenges for natural gas grid operators, necessitating infrastructure adaptations to accommodate higher fuel demands. The insights gained from this research contribute to the growing body of knowledge surrounding hydrogen integration in the energy sector, offering valuable implications for decarbonization strategies and the optimization of natural gas infrastructure.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"54 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Arabzadeh-Ziari, M. Mohammadimehr, M. Arabzadeh-Ziari, M. Asgari
{"title":"Vibration, Bending, and Buckling of a Seven-Layer Sandwich Beam with Balsa Core Reinforced by Nanocomposite and Shape Memory Alloy Face Sheets Using Piezoelectromagnetic Layers","authors":"E. Arabzadeh-Ziari, M. Mohammadimehr, M. Arabzadeh-Ziari, M. Asgari","doi":"10.1007/s13369-024-09491-8","DOIUrl":"https://doi.org/10.1007/s13369-024-09491-8","url":null,"abstract":"<p>This article discusses the vibration, bending, and buckling analysis of a seven-layer sandwich beam with a balsa wood core reinforced with carbon nanotubes (CNT), shape memory alloy (SMA) nanoparticles, and piezoelectromagnetic layers. The governing equations of motion are obtained using the Hamiltonian principle. To measure the validity of this research, the obtained results are compared with the other results, and the results are in agreement with each other. The primary goal is to enhance the sandwich structure’s strength and rigidity by using CNTs reinforcement and SMA nanoparticles, with the piezoelectromagnetic layers functioning as sensors to improve the overall mechanical performance of the beam The use of CNTs can have a favorable effect on the stiffness of the beam and strength-to-weight ratio and also, the effect of the thickness ratio of core on deflection, critical buckling load, and vibration frequency is significant, so that with a decrease of 11.1% in the thickness ratio, the deflection decreases by about 50.2%, the critical buckling load increases by about 101%, and the vibration frequency increases by about 40.7%. Also, with an increase of 0.5 and 3.5 percent of CNT, the deflection of a sandwich beam reduces by 20 and 50 percent, respectively.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"158 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing of Novel Magnetic Field-Assisted Electrical Discharge Turning Parameters for Machining EN24 Steel Alloy Using Response Surface Methodology and MCDM-Based CRITIC–TOPSIS Method","authors":"Roopak Varshney, Param Singh","doi":"10.1007/s13369-024-09537-x","DOIUrl":"https://doi.org/10.1007/s13369-024-09537-x","url":null,"abstract":"<p>This study employs a multi-criteria decision-making (MCDM) technique to identify the optimal parameters for the electrical discharge turning (EDT) process used to machine cylindrical EN24 steel alloy. EDT, a significant configuration of EDM, offers a valuable approach for machining cylindrical workpieces. A face-centred central composite design (FCCCD) is employed to establish the experimental design. The CRITIC–TOPSIS method is subsequently implemented to optimize the input parameters: gap current (Ig), pulse on time (Ton), rotational speed (<i>N</i>), and magnetic field assistance (<i>B</i>). Each parameter is investigated at three distinct levels. The study focuses on four response variables: material removal rate (MRR), tool wear rate (TWR), overcut (OC), and surface roughness (<i>R</i><sub>a</sub>). Analysis of variance (ANOVA) is conducted to assess the influence of each input parameter on the observed responses. Criteria importance through inter-criteria correlation (CRITIC) is employed to assign weights to each response, followed by applying the technique for order of preference by similarity to ideal solution (TOPSIS) to identify the ideal machining parameters. The results indicate that run number 16 (Ig: 16A, Ton: 60 µs, <i>N</i>: 1400 RPM, and <i>B</i>: 0.30 T) represents the optimal configuration. Scanning electron microscopy (SEM) analysis further corroborates this finding, confirming superior surface quality compared to other experimental runs.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"24 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. J. Pellegrini-Cervantes, C. A. Espinoza-Moreno, M. Rodriguez-Rodriguez, C. P. Barrios-Durstewitz, S. P. Arredondo-Rea, R. Corral-Higuera, H. J. Peinado-Guevara, M. J. Chinchillas-Chinchillas, G. Fajardo-San-Miguel
{"title":"Use of a Conductive Recycled Mortar as an Anode in the Electrochemical Chloride Extraction in Reinforced Concrete","authors":"M. J. Pellegrini-Cervantes, C. A. Espinoza-Moreno, M. Rodriguez-Rodriguez, C. P. Barrios-Durstewitz, S. P. Arredondo-Rea, R. Corral-Higuera, H. J. Peinado-Guevara, M. J. Chinchillas-Chinchillas, G. Fajardo-San-Miguel","doi":"10.1007/s13369-024-09501-9","DOIUrl":"https://doi.org/10.1007/s13369-024-09501-9","url":null,"abstract":"<p>This study advocates for the use of recycled materials, which are more environmentally sustainable as they decrease natural resource consumption. In this research, a mortar anode composed of recycled fine aggregate (RFA) from laboratory concrete blocks, carbon fiber (CF) waste from industrial processes, and graphite powder (GP) was developed, resulting in a conductive recycled mortar (CRM). The manufacturing process utilized Portland composite cement, RFA with a sand/cement ratio of 1.00, a water/cement ratio of 0.6, a GP/cement ratio of 0.50, CF comprising 0.5%, and carboxymethyl cellulose (CMC) comprising 0.4% by weight of cement. Chloride profiles indicated that the specimens with the CRM anode were effective, as the chlorides migrated into the mortar. For M0.5CF (2.81%) and M0.5CF0.5GP (3.72%) of free chlorides, the Ti–RuO<sub>2</sub> mesh did not expel the chlorides but rather accumulated them at 1 cm from the surface, resulting in a negative efficiency (− 20.02%). However, at 1 cm from the cathode, the efficiency levels were comparable across the anodes: Ti–RuO<sub>2</sub> mesh (84.54%), M0.5CF (84.76%), and M0.5CF0.5GP (81.11%), underscoring the potential of using a CRM anode for electrochemical chloride removal.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhtar
{"title":"An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network","authors":"Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhtar","doi":"10.1007/s13369-024-09522-4","DOIUrl":"https://doi.org/10.1007/s13369-024-09522-4","url":null,"abstract":"<p>Corrosion is one of the most significant challenges for oil pipelines. It can occur due to various factors such as moisture, oxygen, and contaminants in the oil. Corrosion weakens the pipeline material, leading to leaks, ruptures, and structural failure. To enhance the ability to decrease the corrosion problems of oil pipelines, an efficient Back Propagation Neural Network is developed to predict the corrosion rate and analyse the importance of the features that affect the corrosion. This method is based on the database generated by coupling an analytical corrosion rate model and Monte Carlo simulation by using Spearman’s (SP) correlation coefficient to generate the relevance between each feature, negating the feature variables with a strong correlation and then combining with a Genetic Algorithm (GA) and a Back Propagation (BP) Neural Network to build a regression prediction model. The proposed approach has been termed SP-GA-BP. The results showed that the proposed method can predict well with R<sup>2</sup> = 0.99519 MAE = 0.18926 MSE = 0.0072213 RMSE = 0.084978, thereby indicating that the Temperature, CO<sub>2</sub> Pressure, and Corrosion Inhibitor efficiency can affect the corrosion rate efficaciously. Furthermore, with the introduction of external interference, the results exhibited a high level of precision. The proposed method and the obtained results may provide a good reference value for oil pipeline maintenance.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"27 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of Bi-functionalized Clay-Superabsorbent Polymer Nanocomposite for Improved Mechanical and Durability Properties of Cementitious Materials","authors":"V. S. Sujitha, B. Ramesh, Joseph Raj Xavier","doi":"10.1007/s13369-024-09525-1","DOIUrl":"https://doi.org/10.1007/s13369-024-09525-1","url":null,"abstract":"<p>The impacts of incorporating silane-functionalized halloysite nanoclay (SNC) in sodium polyacrylamide (PA) superabsorbent polymer (SAP) and its reinforcement potential in cementitious materials are carefully investigated. Unlike previous studies, this work uniquely explored the dual functionality of SNC to enhance both the water absorption capacity and mechanical strength of SAPs and, subsequently, its reinforcing effects on cementitious materials. This study comprehensively examines the mechanical and durability characteristics of cement mortar and concrete when a small percentage of SNC/SAP composite is added at 0.2, 0.4, 0.6, and 0.8%. The optimum concentration of SNC/SAP composite in the cement mix was found to significantly improve the hydration of cement, thereby enhancing its mechanical properties and strength by filling the micropores. X-ray diffraction (XRD), thermogravimetric analysis (TGA), transmission electron microscopy (TEM), and scanning electron microscopy (SEM) analyses were carried out to characterize the surface morphology and its influence on cementitious materials. The results indicate that the SNC/SAP cementitious nanocomposite enhances the compressive, flexural, and tensile strengths by up to 54%, 63%, and 67%, respectively, compared to those of conventional mortar specimens at 56 days. Furthermore, shrinkage tests revealed the excellent water-holding capacity of the composite hydrogel, which promoted internal curing and reduced microcrack formation. The findings demonstrate that SNC not only improves the properties of SAP hydrogels but also significantly enhances the mechanical properties and durability of cementitious materials, making it a promising additive for protective cementitious coatings in buildings. This study addresses the critical need for durable, crack-resistant concrete, providing a novel approach to enhancing the longevity and performance of cementitious materials.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"37 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-disciplinary Analysis of Solar-Powered Unmanned Aerial Vehicles for Extended Endurance","authors":"Atousa Golmakani, Zoheir Saboohi, Nima Karimi","doi":"10.1007/s13369-024-09400-z","DOIUrl":"https://doi.org/10.1007/s13369-024-09400-z","url":null,"abstract":"<p>Drones are extensively utilized in numerous critical applications today, necessitating high flight endurance for many tasks. As a result, solar unmanned aerial vehicles (UAVs) have gained considerable attention from researchers. This study presents the design of two UAVs with distinct wing configurations, both equipped with an equal number of solar cells. A numerical approach is employed to model these UAVs and calculate their aerodynamic coefficients. The power required for sustained level flight is determined using established aerodynamic equations. Additionally, solar cells are simulated in MATLAB/Simulink to investigate the impact of solar radiation on cell output power, current, and voltage. Different locations experience varying levels of solar radiation at specific times of the day, depending on their geographical coordinates and date. Consequently, this research examines the flight endurance of solar UAVs based on flight conditions and solar radiation availability in specific locations. In this paper, two different approaches for calculating the endurance parameter were introduced, and the achieved results are compared. Superior aerodynamic performance and a higher lift-to-drag ratio were observed for the UAV with a high AR. It is seen that reducing weight and distributing the same number of cells across the lower wing surface can significantly enhance flight endurance. In the best possible conditions in the considered place and time, the high AR UAV flies for 10 h and the medium AR UAV flies for 11 h.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"22 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amit Kumar Dubey, Yogesh Kumar, Santosh Kumar, Avinash Ravi Raja
{"title":"Parametric Optimization of AWJM Using RSM-Grey-TLBO-Based MCDM Approach for Titanium Grade 5 Alloy","authors":"Amit Kumar Dubey, Yogesh Kumar, Santosh Kumar, Avinash Ravi Raja","doi":"10.1007/s13369-024-09500-w","DOIUrl":"https://doi.org/10.1007/s13369-024-09500-w","url":null,"abstract":"<p>Abrasive water jet machining (AWJM) is an incredibly effective method for processing challenging materials, overcoming the obstacles encountered when working with them. High-pressure water combined with abrasive particles is used to erode and penetrate the workpiece material. Processing titanium grade 5 alloy can be a complex task, but it is possible to efficiently machine it using abrasive water jet machining. The study analyzes the impact of pressure (P), abrasive flow rate (AFRE), stand-off distance (SoD) and traverse speed (TRS). A Taguchi L25 array (orthogonal) was utilized for carrying out the experiments. The best process parameters were identified through response surface methodology in order to reduce processing time (PT) and surface roughness (SR), while increasing hardness (HRC). The results, including processing time, surface roughness, and hardness, were transformed into a composite grade through the application of grey relational analysis. The empirical model was formulated utilizing the teaching–learning-based optimization (TLBO) technique and the best process parameters were investigated using RSM-Grey-TLBO-based multi-criteria decision-making. The RSM-Grey-TLBO MCDM method proposes an optimized configuration for GRG (mean method) with parameters P = 320 MPa, SoD = 4 mm, TRS = 190 m/min, AFRE = 12 g/sec and for the weighted method of GRG with parameters P = 320 MPa, SoD = 8 mm, TRS-150 m/min, AFRE-9 g/sec. The percentage inaccuracies for the forecasted errors are 7.47% and 7.33% in GRG (mean method) and GRG (weighted method), respectively.</p>","PeriodicalId":8109,"journal":{"name":"Arabian Journal for Science and Engineering","volume":"12 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142194104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}