Thermal Science and Engineering Progress最新文献_第8页

Thermal radiation imaging and optical imaging detection Application in real-time monitoring of physiological status of long-distance runners: Real-time thermal imaging monitoring

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-03 DOI: 10.1016/j.tsep.2025.103474

Xin Liu , Xueyuan Liu , Shouxue Li , Binquan Leng

{"title":"Thermal radiation imaging and optical imaging detection Application in real-time monitoring of physiological status of long-distance runners: Real-time thermal imaging monitoring","authors":"Xin Liu , Xueyuan Liu , Shouxue Li , Binquan Leng","doi":"10.1016/j.tsep.2025.103474","DOIUrl":"10.1016/j.tsep.2025.103474","url":null,"abstract":"<div><div>Long-distance running, as a sport with high demands on cardiopulmonary function and endurance, puts forward higher demands on athletes’ physical fitness and physiological state. This paper discusses the application potential of thermal radiation image and optical imaging technology in the real-time monitoring of long-distance runners physiological state, especially the real-time thermal imaging monitoring technology. The study uses high-precision thermal imaging camera and optical imaging equipment to acquire real-time thermal radiation images and optical images during the training and competition of long-distance runners. The thermal radiation image is preprocessed to improve the image quality. Then image analysis technology was used to extract key physiological parameters, and combined with athletes’ training intensity, ambient temperature, humidity and other data, the rule of body temperature changes reflected in thermal radiation images was analyzed, as well as the relationship between these changes and athletes’ physiological state. Based on the above analysis results, a real-time thermal imaging monitoring system is developed. The system can display the temperature distribution map of athletes in real time and give early warning to the physiological state of athletes according to the set threshold. The study found that in the process of long-distance running, the athlete’s body temperature will rise with the increase of exercise intensity, especially in the stage of greater cardiopulmonary function load, the temperature rise is more obvious. Through the analysis of thermal radiation images, the hot spots on the athlete’s body surface are successfully identified. These areas usually correspond to the active parts of blood circulation, and can be used as an important indicator to evaluate the physiological state of athletes.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103474"},"PeriodicalIF":5.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative performance analysis of finned and metal foam metal hydride reactors for efficient heating and cooling operations

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-03 DOI: 10.1016/j.tsep.2025.103473

Akshini More , Abhishek Parida , P. Muthukumar , Pankaj Kalita , Amaresh Dalal

{"title":"Comparative performance analysis of finned and metal foam metal hydride reactors for efficient heating and cooling operations","authors":"Akshini More , Abhishek Parida , P. Muthukumar , Pankaj Kalita , Amaresh Dalal","doi":"10.1016/j.tsep.2025.103473","DOIUrl":"10.1016/j.tsep.2025.103473","url":null,"abstract":"<div><div>This paper presents the results of a 2-D axisymmetric simulation study that compares the finned reactor to the metal foam reactor, both of which carry the same amount of metal hydride. It also addresses the variation of metal foam reactor’s sorption performance due to different porosities and its heating/cooling effect at different absorption/desorption temperatures. The comparison of the fin and metal foam reactors is based on the amount of hydrogen absorbed/desorbed throughout the absorption/desorption processes and the variation in bed temperature. Additionally, the sorption behaviour of the metal foam reactor is analysed at different bed porosities (0.85–0.95). It is observed that there is a significant improvement in the performance of the sorption behaviour of the MH bed augmented with metal foam. However, compared to the finned reactor, the weight ratio and volumetric energy density are lower by 21.9% and 9.7%, respectively. Also, it is observed that the volume of the MH reactor increased by almost 11 % to accommodate an identical amount of alloy, thereby compromising the volumetric density. The metal foam porosity of 0.85 exhibits the best absorption and desorption performance. The metal foam reactor filled with Mm<sub>0.2</sub>La<sub>0.6</sub>Ca<sub>0.2</sub>Ni<sub>5</sub> achieved a maximum cooling rate of 1.8 kW and a minimum bed temperature of 254.5 K forthe desorption temperature of 308 K. For an absorption temperature of 278 K, the same alloy yielded a maximum heating rate of 1.1 kW. The study revealed that themetal foam reactors can be utilized for both cooling and heating applications.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103473"},"PeriodicalIF":5.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thermal environment characteristics and factory landscape design of precision manufacturing process based on human–machine collaboration

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-03 DOI: 10.1016/j.tsep.2025.103468

Du Juan

{"title":"Thermal environment characteristics and factory landscape design of precision manufacturing process based on human–machine collaboration","authors":"Du Juan","doi":"10.1016/j.tsep.2025.103468","DOIUrl":"10.1016/j.tsep.2025.103468","url":null,"abstract":"<div><div>In modern manufacturing, the thermal environment characteristics of factories play a crucial role in production efficiency and product quality. This article aims to explore the thermal environment characteristics in precision manufacturing processes based on human–machine collaboration, and construct a factory workshop human–machine collaboration network model. The model includes the principle of human–machine collaboration manufacturing model, adaptive human–machine interaction process, task matching algorithm, and collaborative information processing model. It analyzes the application and optimization of human–machine collaboration in temperature control from multiple dimensions. In the section of thermal environment simulation and analysis models, in-depth analysis of the thermal environment in the factory workshop is conducted by establishing heat control equations and applying temperature data denoising algorithms. The simulation results indicate that effective management of the thermal environment can significantly reduce temperature fluctuations and improve the stability of the manufacturing process. The landscape design analysis of precision manufacturing factories emphasizes the spatial layout characteristics and landscape configuration principles, including the green landscape planting mode that saves energy and cooling, and proposes to improve the microclimate of the workshop through reasonable plant layout, thereby further enhancing manufacturing efficiency. Therefore, the thermal environment characteristics of precision manufacturing processes based on human–machine collaboration not only have a direct impact on the production process, but also provide systematic theoretical support for the landscape design of factories. Future research can further deepen the integration of thermal environment management and landscape design, which is expected to enhance the sustainable development level of modern precision manufacturing industry.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103468"},"PeriodicalIF":5.1,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thermo-mechanical coupling analysis in biological tissue with temperature-dependent physical parameters under moving heat source effects

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-03 DOI: 10.1016/j.tsep.2025.103470

Yingze Wang, Sheng Zhang, Zhaowei He

引用次数: 0

Heat transfer and rheological analysis of a converging-diverging artery using the Prandtl viscoelastic model with chemical reactions

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-02 DOI: 10.1016/j.tsep.2025.103460

Saleh Chebaane , E.O. Fatunmbi , A.M. Obalalu , Mohamed Bouzidi , Turki Alkathiri , Taoufik Saidani , Amir Abbas

{"title":"Heat transfer and rheological analysis of a converging-diverging artery using the Prandtl viscoelastic model with chemical reactions","authors":"Saleh Chebaane , E.O. Fatunmbi , A.M. Obalalu , Mohamed Bouzidi , Turki Alkathiri , Taoufik Saidani , Amir Abbas","doi":"10.1016/j.tsep.2025.103460","DOIUrl":"10.1016/j.tsep.2025.103460","url":null,"abstract":"<div><div>The investigation of blood flow in a converging–diverging artery plays a crucial role in understanding cardiovascular disorders and optimizing biomedical devices such as drug delivery systems, surgical instruments, and nanoparticle-based treatments. This study analyzes the flow dynamics of non-Newtonian Jeffery-Hamel fluid with nanoparticles using the Prandtl viscoelastic model, which effectively captures the complex rheological behavior of blood. The mathematical model incorporates thermophoresis, Brownian motion, chemical reactions, space- and temperature-dependent energy generation, and frictional dissipation effects. The governing partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) via suitable similarity transformations and are numerically solved using the Spectral Collocation Method (SCM) for enhanced accuracy. The results reveal that the Prandtl material and viscosity parameters exhibit opposite effects on blood flow, with viscosity increasing resistance and slowing circulation. The inclusion of partial slip conditions leads to flow reversal and higher resistance forces along the arterial walls, a key factor in understanding arterial diseases. Furthermore, thermophoresis and Brownian motion significantly enhance heat and mass transfer, influencing nanoparticle diffusion and temperature regulation. For a diverging artery (χ > 0), a substantial reduction in flow velocity, temperature, and nanoparticle concentration is observed, providing new insights into post-surgical arterial expansions and aneurysm formations. These findings offer critical implications for medical diagnostics, hyperthermia treatments, and nanoparticle-based drug delivery.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103460"},"PeriodicalIF":5.1,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the difference between tectonic coal and raw coal oxidative spontaneous combustion

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-02 DOI: 10.1016/j.tsep.2025.103469

Hailin Jia , Kaixuan Zhou , Xiaoju Zhao , Rongkun Pan , Ligang Zheng , Jiangkun Chao , Daimin Hu , Lin Li

{"title":"Study on the difference between tectonic coal and raw coal oxidative spontaneous combustion","authors":"Hailin Jia , Kaixuan Zhou , Xiaoju Zhao , Rongkun Pan , Ligang Zheng , Jiangkun Chao , Daimin Hu , Lin Li","doi":"10.1016/j.tsep.2025.103469","DOIUrl":"10.1016/j.tsep.2025.103469","url":null,"abstract":"<div><div>Industrial and elemental analysis experiments, low temperature liquid nitrogen adsorption experiments, TG/DSC comprehensive thermal analysis experiments and programmed temperature oxidation experiments were carried out on the fractured tectonic coal and raw coal in the same coal seam. The experimental results demonstrated that, compared with the raw coal, the tectonic coal exhibited an increase in pore volume and specific surface area, along with good pore connectivity. During the endothermic and exothermic reaction stages, the endothermic heat of the tectonic coal was lower than that of the raw coal. The gas production trends of the two types of coal intersected with the curves of the consumption rates of CO and oxygen. Before the intersection temperature, the gas production rate and oxygen consumption rate of the tectonic coal were higher than those of the raw coal, while after that, the gas production rate and oxygen consumption rate of the raw coal were higher. Based on the growth curves of CO and C<sub>2</sub>H<sub>4</sub> gas production, the temperatures of the tectonic coal and the raw coal were different at the end of the slow oxidation stage and the beginning of the fast oxidation stage. Generally speaking, there are significant differences between tectonic coal and raw coal in physical and chemical structure and oxidation spontaneous combustion characteristics. In the slow oxidation stage, the oxidizing ability of tectonic coal is stronger, while the raw coal reacts more fiercely in the rapid oxidation stage.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103469"},"PeriodicalIF":5.1,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motion training recognition based on thermal radiation imaging system and object detection: Human motion thermal image monitoring

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-01 DOI: 10.1016/j.tsep.2025.103467

Jie Zhao, Chang Liu, Huisheng Hou

{"title":"Motion training recognition based on thermal radiation imaging system and object detection: Human motion thermal image monitoring","authors":"Jie Zhao, Chang Liu, Huisheng Hou","doi":"10.1016/j.tsep.2025.103467","DOIUrl":"10.1016/j.tsep.2025.103467","url":null,"abstract":"<div><div>A human motion monitoring method based on thermal radiation image system and target detection technology is developed. The heat distribution of human body in motion is captured by thermal image, and the real-time recognition and analysis of human motion is realized by combining image processing and target detection algorithm. A complete set of thermal radiation optical image monitoring system is designed in this study. A high-sensitivity thermal imaging camera is used to capture the thermal radiation images of the human body in the process of motion, and these images are then transmitted to the data acquisition unit for preliminary data collation and storage. The image processing module preprocesses the acquired thermal images, and the preprocessed images are fed into the object detection algorithm, which is based on the deep learning framework and can recognize and classify different movements of the human body. The thermal radiation image monitoring system can accurately capture the thermal image of the human body in different motion states, and identify the movement type of the athlete in real time through the target detection algorithm. The system has a strong ability to capture the details of actions, and can identify the beginning, progress and end stages of actions. Compared with traditional monitoring methods, the thermal radiation light image monitoring system has obvious advantages in terms of data accuracy and real-time performance. This method can not only provide high precision movement recognition, but also has the advantages of non-contact and real-time monitoring, which greatly improves the efficiency and accuracy of sports training monitoring.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103467"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence and robots promote energy management and financial cost optimization in hybrid manufacturing enterprises

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-01 DOI: 10.1016/j.tsep.2025.103464

Chang Miao, Yan Xue

{"title":"Artificial intelligence and robots promote energy management and financial cost optimization in hybrid manufacturing enterprises","authors":"Chang Miao, Yan Xue","doi":"10.1016/j.tsep.2025.103464","DOIUrl":"10.1016/j.tsep.2025.103464","url":null,"abstract":"<div><div>Against the backdrop of global environmental pressures and energy shortages, mixed manufacturing enterprises are facing a dual challenge of improving energy efficiency and reducing production costs. Currently, many enterprises are seeking to achieve more efficient production and management through automation and intelligent means. The aim of this study is to construct a comprehensive model that optimizes the energy management and financial costs of hybrid manufacturing enterprises through industrial robots and artificial intelligence technology, enhancing their economic benefits and market competitiveness. This article reviews relevant work and analyzes the application of industrial robots in the manufacturing process, including modeling of robotic arm motion, machining scheduling, and manufacturing reliability. Subsequently, an energy management model based on thermal science was designed and its effectiveness was evaluated, combined with energy-saving diagnostic tools to assess the actual effectiveness of energy management. Finally, how artificial intelligence technology can optimize financial costs was discussed, and a series of specific optimization strategies were proposed. Research has found that by applying advanced robotic arm motion modeling technology and intelligent scheduling algorithms, hybrid manufacturing enterprises can significantly improve production efficiency and reduce energy consumption. The designed energy management model effectively evaluates the energy usage of enterprises and improves energy utilization efficiency through energy-saving diagnostic measures. By combining artificial intelligence with financial cost optimization strategies, the financial performance of enterprises has also been significantly improved.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103464"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable AI in thermal modelling enhancing precision in thermal gradient monitoring for additive manufacturing using LSTM networks

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-01 DOI: 10.1016/j.tsep.2025.103465

Ajmeera Kiran , Harish Kumar , S. Sivanandam , P.Gururama Senthilvel , R.V.S. Lalitha , C.S. Preetham Reddy

{"title":"Explainable AI in thermal modelling enhancing precision in thermal gradient monitoring for additive manufacturing using LSTM networks","authors":"Ajmeera Kiran , Harish Kumar , S. Sivanandam , P.Gururama Senthilvel , R.V.S. Lalitha , C.S. Preetham Reddy","doi":"10.1016/j.tsep.2025.103465","DOIUrl":"10.1016/j.tsep.2025.103465","url":null,"abstract":"<div><div>The paper introduces an unprecedented technique for enhancing the measurement accuracy of thermal gradients in additive manufacturing by applying Explainable Artificial Intelligence (XAI) combined with Long Short-Term Memory (LSTM) networks. Temperature control during fabricating of thermoplastic and thermosetting polymer composites remains fundamental since it dictates the resulting material properties, structural integrity, and layer bonding. Our LSTM model predicts temperature changes during printing operations, providing stable manufacturing processes by reducing common defects, including warping deformation delamination and inconsistent curing. The framework now includes Layer-wise Relevance Propagation (LRP) and SHapley Additive exPlanations (SHAP) techniques to analyse crucial elements affecting temperature distribution.</div><div>The thermal model shows 0.183 °C MAE and 0.224 °C RMSE values, delivering 46.5 % better precision than previous thermal modelling approaches. Evaluation tests report system adjustments to take place after 86 ms during thermal perturbations and reach full stabilisation by 2.3 s. Its 97.3 % prediction accuracy rate and decision consistency make it dependable for optimal temperature processing control. The research creates a connection between automated thermal modelling and manufacturing through additive technology which leads to better process management together with material efficiency as well as environmentally responsible creation of polymer parts. The introduced framework shows great promise for use in the aerospace, automotive and biomedical sectors of additive manufacturing, which demand accurate thermal control.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103465"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exergy, emergoeconomic and emergoenvironmental analysis of ocean thermal energy conversion (OTEC) systems: An integration with solar, wind, and thermoelectric energy production

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2025-03-01 DOI: 10.1016/j.tsep.2025.103459

Hadi Kamfar , Abolfazl Shojaeian , Jaber Yousefi Seyf , Najmeh Hajialigol

{"title":"Exergy, emergoeconomic and emergoenvironmental analysis of ocean thermal energy conversion (OTEC) systems: An integration with solar, wind, and thermoelectric energy production","authors":"Hadi Kamfar , Abolfazl Shojaeian , Jaber Yousefi Seyf , Najmeh Hajialigol","doi":"10.1016/j.tsep.2025.103459","DOIUrl":"10.1016/j.tsep.2025.103459","url":null,"abstract":"<div><div>Decentralized multi-generation systems using renewable energy sources have great potential for combating climate change and promoting sustainable development. This study models and analyzes an integrated solar-assisted system consisting of an organic Rankine cycle, a wind turbine, and a thermoelectric unit using EES software. Performance is evaluated through exergy, emergoeconomic, and emergoenvironmental analyses. The economic emergy coefficients are steam turbine (59.93%), evaporator (1.66%), working fluid pump 1 (37.25%), warm sea water pump2 (86.86%), cold sea water pump3 (86.97%), solar collector (100%), wind turbine (100%), and thermoelectric unit (100%). Environmental emergy coefficients are steam turbine (58.56%), evaporator (87.15%), working fluid pump 1 (48.97%), warm sea water pump2 (8.39%), cold sea water pump3 (7.68%), solar collector (100%), wind turbine (77.57%), and thermoelectric unit (100%). The system also reduces carbon dioxide emissions by 1.34 tons, highlighting the technical, economic, and environmental benefits of renewable energy integration.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103459"},"PeriodicalIF":5.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0