Journal of Engineering Research最新文献

{"title":"Investigation of optimal feature for milling chatter identification using supervised machine learning techniques","authors":"Rohit Mishra,&nbsp;Matta S.N.S. Kiran,&nbsp;Manikantadhar Maheswaram,&nbsp;Akshat Upadhyay,&nbsp;Bhagat Singh","doi":"10.1016/j.jer.2023.100138","DOIUrl":"10.1016/j.jer.2023.100138","url":null,"abstract":"<div><div>In order to overcome the complex mathematical models and tedious analytical skills and improve the machining performance, various effective methods have been developed using time domain, frequency domain and time and frequency domain-based features. However, the selection of these features can be difficult, and results can be alleviated if it is wrongly selected. This study proposes a methodology that helps identify the optimal feature from eight time-domain statistical features using supervised machine learning algorithms. In this work, 44 milling experiments have been performed and labelled as chatter, transient, and stable states by observing the tool-machining condition. Subsequently, the eight time-domain-based features, i.e. mean, variance, peak-to-peak, root mean square, crest factor, form factor, kurtosis and skewness, have been calculated. After that, four machine learning techniques, i.e., random forest, gradient boosting, support vector machine and logistic regression, were utilized, and their accuracy score was 92.86 %, 96.8 %, 94.8 % and 91 %, respectively. After that, their feature score was evaluated to investigate the effectiveness of all 8 time domain-based features. Feature scores for mean, variance, peak-to-peak, root mean square, crest factor, form factor, kurtosis and skewness are 0.28, 0.25, 0.11, 0.095, 0.085, 0.08, 0.065 and 0.035, respectively. The outcome of this research is that peak-to-peak time domain-based features, along with gradient boosting, can extract chatter features in the presence of an extraneous noisy signal.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 950-962"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76921587","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":"Single-Walled Carbon Nanotube (SWCNT) thin films via automatic spray coating and nitric acid vapor treatment","authors":"Arulampalam Kunaraj ,&nbsp;P. Chelvanathan ,&nbsp;Ahmad Ashrif A Bakar ,&nbsp;Iskandar Yahya","doi":"10.1016/j.jer.2023.07.002","DOIUrl":"10.1016/j.jer.2023.07.002","url":null,"abstract":"<div><div>In the realm of optoelectronics to produce thin film, SWCNT (Single-Walled Carbon Nanotube) is a promising alternative to Indium Tin Oxide (ITO). However, it is still challenging to manufacture SWCNT thin film that is low-cost, homogenous and has minimal sheet resistance. In this work, SWCNT thin films were deposited by using the automated spray coating method. To enhance the film quality and optoelectronic characteristics, post-deposition treatment through nitric acid vapor was carried out. The optimized SWCNT thin films exhibited optical transparency in the range of 60.4% at 800 nm and sheet resistance of 6.6 Ω/square. The sheet resistance of our fabricated SWCNT thin films was lower than the value of ITO films (10 Ω/square), putting forth evidence which suggests the potential of SWCNTs as an alternative to ITO.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 825-831"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77388314","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":"SCAMORSA-1: A camber-morphing wind turbine blade with sliding composite skin","authors":"Peter L. Bishay,&nbsp;Toby McKinney,&nbsp;Garrett Kline,&nbsp;Maria Manzo,&nbsp;Arthur Parian,&nbsp;Derenik Bakhshi,&nbsp;Andrew Langwald,&nbsp;Abraham Ortega,&nbsp;Matthew Gagnon,&nbsp;Gerbert Funes Alfaro","doi":"10.1016/j.jer.2024.04.006","DOIUrl":"10.1016/j.jer.2024.04.006","url":null,"abstract":"<div><div>Wind turbines form an increasingly important source of renewable and sustainable energy. Traditional rigid wind turbine blades are unable to control the flow of air over their surfaces, resulting in higher loads and lower aerodynamic efficiency at non-optimal wind speeds and angles of attack. This paper presents the design of SCAMORSA-1 (“Sliding CAmber- MORphing Skin Action”), a camber-morphing turbine blade in a small scale Horizontal Axis Wind Turbine (HAWT) for increased aerodynamic efficiency and improved extreme load alleviation. The blade is linearly tapered and comprises three sections: a conventional rigid section, a morphing section, and a fixed blade tip, all covered by functionally graded composite skin. Measured from the root, the rigid section spans 0%-60% of the total blade length and its profile transitions at 20% from SD7062 thick airfoil to the thinner SD7037 airfoil. The rigid section includes carbon fiber composite spars that resist flap-wise bending. The morphing section occupies the next 30% of the span with SD2030 airfoil profile and can seamlessly change camber angle up to 10°. This section is composed of three hybrid ribs connected via two leading-edge composite spars and a trailing-edge synchronizing rod. Each hybrid rib has a solid leading-edge segment connected to a flexible trailing-edge segment via T-slots. The trailing-edge segment, where morphing occurs, is an enhanced version of the corrugated FishBAC design, with hexagonal honeycomb infill that increases the out-of-plane stiffness and allows for morphing deformation without internal buckling. Two of these hybrid ribs have servomotors housed in the leading-edge segment. These integrated actuators in the hybrid ribs actuate flexible carbon fiber ribbons that run through slits in the trailing-edge segment to morph it. At the trailing-edge portion of the morphing section, the composite skin transitions to a thin flexible layer that can slide over the deforming trailing-edge segment via skin sliders. Computational simulations were performed to quantify the performance gains and ensure safe operation of all components. A proof-of-concept model of SCAMORSA-1’s morphing section was manufactured and tested to demonstrate the effectiveness of the design.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 931-940"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140774437","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":"Efficient resource allocation through CNN-game theory based network slicing recognition for next-generation networks","authors":"Franciskus Antonius","doi":"10.1016/j.jer.2024.01.018","DOIUrl":"10.1016/j.jer.2024.01.018","url":null,"abstract":"<div><div>Fifth generation (5G) and sixth generation (6G) networks are examples of next-generation networks that need higher levels of safety, lower latency, and more capacity and dependability. Reconfigurable wireless connection slicing becomes essential for satisfying these sophisticated networks' requirements, enabling many network instances on the same hardware to improve Quality of Service (QoS). Nonetheless, the centrally managed resource allocation for network slicers presents difficulties, particularly as the quantity of User Equipment (UEs) increases. This puts pressure on Radio Resource Management (RRM) and makes slice customization more difficult. In order to address these issues, this study presents an organizational radio resource distribution architecture in which the neighborhood radio resource managers (LRRMs) receive sub channel allocations from the RRM in slices, and the LRRMs then distribute the assigned capabilities to the corresponding UEs. The suggested model, which runs in MATLAB, uses an original method called CNN-Game Theory to achieve an exceptional 98 % accuracy, outperforming CNN-LSTM, RNN, DeepCog, and DHOA by 29.27 %. This method combines ideas from game theory with neural network weight optimization to produce an improved model with increased efficiency and accuracy. Many experiments illustrate how effective this method is and how it can be used to improve different machine learning applications. Metrics like slice type utilization, average packet delay for each LTE/5G category, and others are used to assess game optimization for resource allocation</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 793-805"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635655","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":"A decision support system for sustainable supplier selection problem: Evidence from a radiator manufacturing industry","authors":"Mahmuod Torabi Jefroudi ,&nbsp;Soroush Avakh Darestani","doi":"10.1016/j.jer.2024.03.014","DOIUrl":"10.1016/j.jer.2024.03.014","url":null,"abstract":"<div><div>Supplier selection is the basis of a successful supply chain. It is also a key factor in improving the competitiveness of an organization. Being a complex process, the supplier selection plays an important role in upgrading the supply chain. The purpose of this research is to present an integrated approach based on fuzzy best-worst method (BWM) and failure mode and effects analysis (FMEA) for sustainable supplier selection considering seasonal quantity discounts and supplier risk for a radiator manufacturing company. Therefore, as the aim implies, this study addresses how organizations develop a sustainable supplier selection framework by integrating linear programming and decision-making in presence of seasonal discounts. To this end, fuzzy BWM and FMEA were employed to calculate weighting factors for different selection criteria and evaluate the supplier risk, respectively. Then, suppliers were ranked using the so-called technique for order of preference by similarity to ideal solution (TOPSIS). Finally, the discount type was examined by the LP-metric method. Results of the fuzzy BWM showed that the customer satisfaction was the criterion of highest priority, followed by long-term relationship, and then pollution control, among the total of 13 criteria considered in this work. Outputs of the TOPSIS referred to the supplier 3 as the top-ranked supplier, followed by supplier 6 and then supplier 1.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 867-877"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143216049","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":"Empirical model and side friction factor effect on desired operating speed at horizontal curved road","authors":"Debela Jima,&nbsp;Tibor Sipos","doi":"10.1016/j.jer.2024.01.026","DOIUrl":"10.1016/j.jer.2024.01.026","url":null,"abstract":"<div><div>The road surface and its geometric condition affect the vehicle's desired operating speed. This paper is framed to examine an empirical model for the desired operating speed due to the variation of the side friction factor at horizontal road curvature across the design period. The minimum radius equation developed by the American Association of State Highway and Transportation Officials (AASHTO) was used to analyze the desired operating speed at the confessed minimum radius, maximum side friction factor, and superelevation. This empirical formula indicated that speed and side friction factors had a direct relationship. Even though this empirical equation cannot define the relationship between desired speed and side friction across the design period except at the opening phase of the road, based on the research gap indicated above, this study proposes an empirical model used to explore the desired operating speed that resulted from the variation of the side friction factor across the design period. To have a structured flow of ideas, a theoretical model was used to create the approach of the specific research inquiry. For exploration purposes, this study used a maximum superelevation of 8 %, the same minimum radius, and the AASTHO recommended side friction factor. Based on the proposed empirical model, this study confirmed that the desired speed increases and decreases as side friction decreases and increases, respectively. Except that vehicular movement is in a static state, at an unrealistic side friction factor (f = 0), and at a critical zone.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 732-739"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139874436","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":"Experimental studies on performance and emission measures of a 4-stroke compression ignition engine using palm bio-diesel blended with N-butanol","authors":"Bichitra Nanda Behera,&nbsp;Tapano Kumar Hotta","doi":"10.1016/j.jer.2023.07.010","DOIUrl":"10.1016/j.jer.2023.07.010","url":null,"abstract":"<div><div>The enormous consumption of energy, stiff increase in oil prices, and customary fuel degradation contribute to massive fuel crises in most of the developed countries. Despite the mild energy disaster and extreme environmental regulations, Diesel engines pose a vital option for automobile vehicles. However, the increased Diesel emissions and the higher labor cost associated to cut down the same make the Bio-diesels blended with N-butanol a better option to resolve the fossil gasoline problems in the future. Hence, the present study highlights the performance and emission measures of a 4-stroke Compression Ignition (CI) engine using N-butanol additive (solvent) with Palm Bio-diesel. Experiments are conducted (i) with only Diesel (ii) with Palm Bio-diesel (in percentages of 10, 15, and 20) mixed with Diesel, and (iii) with N-butanol additive (considered 10% only) to the mixture of Palm Bio-diesel (in percentages of 10, 15, and 20) and Diesel. Experimental analyses are carried out in the same engine using an eddy current dynamometer. The effect of various performance parameters like Brake specific fuel consumption (BSFC), Brake thermal efficiency (BTE), Brake specific energy consumption (BSEC), and Exhaust gas temperature (EGT) on the engine load (varying between 0 and 16 N) is evaluated. On the other hand, different regulated emission measures like Smoke opacity, Nitrogen Oxide (NO_x), Carbon Monoxide (CO), Carbon Dioxide (CO₂), and Hydrocarbons (HC) are also evaluated at the same engine loads. The idea is to identify the feasibility and potential benefits of these biofuel blends in the CI engine. Adding 10% N-butanol to Bio-diesel, the HC, CO₂, CO, and smoke opacity are reduced to a greater extent. The NO_x emissions are also controlled to a larger extent using N-butanol. Again, the BA10 (10% Palm Bio-diesel, 10% N-butanol, and 80% Diesel) has a 2% higher BTE and a 1.33% lower BSFC compared to Diesel and B10 (10% Palm Bio-diesel, and 90% Diesel). The addition of N-butanol to Diesel also helps in reducing the fuel density, kinematic viscosity, and cetane value of blended fuels and can be used as a substitute fuel for Diesel engines.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 976-983"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78926468","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":"Quality of service aware improved coati optimization algorithm for efficient task scheduling in cloud computing environment","authors":"P. Tamilarasu ,&nbsp;G. Singaravel","doi":"10.1016/j.jer.2023.09.024","DOIUrl":"10.1016/j.jer.2023.09.024","url":null,"abstract":"<div><div>The task scheduling has a potential impact on overall system performance and resource utilization in the domain of Cloud Computing. Cloud computing adopts a cloud service provider (CSP) for facilitating access and delivering services to the shared resources. Task scheduling in clouds can be attained some symmetry form which helps in achieving predominant resource optimization that includes energy efficiency and load balancing. This task scheduling process of cloud computing pertains to the problem of Non-deterministic Polynomial (NP) which can be significantly solved using the techniques of metaheuristic optimization for enhancing the job scheduling effectiveness. In this paper, an Improved Coati Optimization Algorithm-based Task Scheduling (ICOATS) is presented for addressing the issues of lengthier scheduling time, high consumptions of cost and maximized load on Virtual Machine (VM) in cloud computing environment. In this proposed ICOATS, a model for distribution and scheduling of tasks is constructed using the factors of VMs, cost and time. It further included a multi-objective fitness function which targets on minimizing makespan, and at the same time maximizing the rate of resource utilization. It established possible plan for every coati with respect to task scheduling process that aids in determining the best solution (optimal assignment of incoming tasks to VMs). It is proposed with the capability of handing the problem of premature convergence by incorporating an exploitation strategy which improving the local search potential with well-balanced trade-off amid exploration and exploitation. The simulation results of this ICOATS approach under its evaluation with the existing metaheuristic task scheduling approaches confirmed better improvement in reducing makespan, and simultaneously enhances the turnaround efficiency, success rate and availability.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 768-780"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134917285","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":"A network data envelopment analysis to evaluate the performance of a sustainable supply chain using bootstrap simulation","authors":"Masoud Vaseei ,&nbsp;Maryam Daneshmand-Mehr ,&nbsp;Morteza Bazrafshan ,&nbsp;Armin Ghane Kanafi","doi":"10.1016/j.jer.2023.10.003","DOIUrl":"10.1016/j.jer.2023.10.003","url":null,"abstract":"<div><div>Data envelopment analysis (DEA) is a non-parametric method to calculate the efficiency of decision-making units (DMU) under evaluation that perform the same activity. The frontier obtained by this method is a relative frontier accessible in the real world. Due to the uncertainty of the population distribution, the accuracy of the achieved efficiency is questioned. Therefore, this research aims to present a network data envelopment analysis model to evaluate the performance of a sustainable supply chain using bootstrap simulation. In this research, using the two-step approach of data envelopment analysis and the bootstrap method, the information collected from 25 tomato paste companies for the year 2021 has been analyzed. To illustrate the proposed method, a real case study is considered in the Iranian tomato paste supply chain network. The findings showed that using definitive data, 16 companies are efficient and 9 companies are inefficient, and using bootstrap simulation data, 4 companies are efficient and 21 companies are inefficient. Using the proposed framework, the overall efficiency value has been calculated in two cases using DEA and the bootstrap model. In addition, the efficiency of the stage is calculated separately. Based on the calculated results, if a DMU is considered efficient, its efficiency score is equal to 1 in each of the stages. Otherwise, the cause of the inefficiency of each DMU is identified. Also, based on the comparisons made between the proposed model and the basic models based on sensitivity analysis, the accuracy of the proposed bootstrap-based model in introducing the number of efficient units has been better than the basic models. Therefore, the accuracy of the used method can be concluded.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 904-915"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134936394","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":"Enhancing eco-concrete performance through synergistic integration of sugarcane, metakaolin, and crumb rubber: Experimental investigation and response surface optimization","authors":"Uday Waghe ,&nbsp;Dhiraj Agrawal ,&nbsp;Khalid Ansari ,&nbsp;Monali Wagh ,&nbsp;Mugahed Amran ,&nbsp;Badr T. Alsulami ,&nbsp;Hassan M. Maqbool ,&nbsp;Yaser Gamil","doi":"10.1016/j.jer.2023.09.009","DOIUrl":"10.1016/j.jer.2023.09.009","url":null,"abstract":"<div><div>Sustainable construction has gained paramount importance due to the consideration of the devastating effects of construction activities on the environment. Researchers are exploring innovative approaches to mitigate the carbon footprint and enhance the durability of concrete. In order to regulate the demand and cost of concrete constituents, such as cement and sand, there is a need to invent alternative materials and utilize various industrial and agricultural wastes instead of concrete ingredients, either partially or completely. The experimental investigation and optimization of eco-concrete composites by integrating sugarcane bagasse ash (SCBA), metakaolin (MK), and crumb rubber (CR) are cutting-edge research areas that aim to develop environmentally friendly and high-performance concrete materials. The present research work has attempted to utilize SCBA up to 15% by weight of cement with an increment of 5%, MK as a fractional exchange of cement up to 15% with 5% intervals, and CR was utilized as fractional volumetric substitution of sand from 0% to 15% in concrete. Different sets of combinations were evaluated to identify effects on density, workability, compressive strength, split tensile strength, flexural strength, and microstructural properties. This study has obtained satisfactory results when compared to the control concrete for 10% substitution of cement with MK and 10% substitution of cement with SCBA, along with a 10% replacement of fine aggregate (i.e., sand) with CR. The results were analyzed and optimized using Response Surface Methodology (RSM), which illuminated a strong correlation between experimental findings and RSM models, with an R squared (R2) value of 0.9580. The experimental findings and RSM models showed a significant correlation. The increment in the substitution of sand with CR resulted in a decline in strength, and it can be controlled by adopting different effective pretreatment techniques for CR.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 645-658"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347497","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}