Applied Thermal Engineering最新文献

{"title":"Heat transfer processes and thermal performance of a double–layer duct ventilated slope for embankments in permafrost regions","authors":"Zhenyu Zhang,&nbsp;Qihao Yu,&nbsp;Yuanming Lai,&nbsp;Junfeng Wang,&nbsp;Xinbin Wang,&nbsp;Zhaohui Sun,&nbsp;Hongwei Li","doi":"10.1016/j.applthermaleng.2026.133019","DOIUrl":"10.1016/j.applthermaleng.2026.133019","url":null,"abstract":"<div><div>The service performance of roadbeds in permafrost regions is primarily governed by the thermal state of the underlying permafrost. To improve embankment thermal management, an efficient air–cooled embankment structure, termed the double–layer duct ventilated slope (DDVS), is proposed to regulate heat transfer and enhance heat dissipation under natural environmental conditions. In–situ tests and numerical simulations were conducted to investigate the heat transfer characteristics, cooling processes, and thermal performance of the DDVS. Results indicate that the DDVS effectively suppresses secondary radiative heating of the embankment and blocks approximately 70% of the incoming solar radiation. Moreover, the DDVS promotes a bidirectional enhanced convective heat transfer process, thereby significantly improving heat dissipation from the roadbed. Compared with the control embankment, the DDVS reduces the annual mean slope soil temperature by 3.9 °C and the average soil temperature approximately 1.2 °C within the upper 7 m depth. The underlying permafrost of the DDVS–protected roadbed remains frozen after 30 service years, thereby ensuring the roadbed long–term stability. Additionally, the incorporation of auto–temperature–controlled wind dampers further improves the cooling efficiency and enhances the climatic adaptability of the DDVS–protected roadbed. These findings provide an effective thermal management strategy and present a novel design for embankments in permafrost regions.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 133019"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Constraint-based design of a desiccant wheel dehumidification system for ultra-low humidity dry room applications","authors":"Mahdi Koushaeian,&nbsp;Jun Jeong,&nbsp;Jae Dong Chung","doi":"10.1016/j.applthermaleng.2026.132999","DOIUrl":"10.1016/j.applthermaleng.2026.132999","url":null,"abstract":"<div><div>This study presents a surrogate-based, constrained multi-objective optimization framework for a rotary desiccant wheel dehumidification system intended for ultra-low-humidity dry room applications. A one-dimensional transient heat and mass transfer model, validated against published experimental data, was used to generate training data for an artificial neural network (ANN) surrogate model. The effects of sampling strategy, training size, and network architecture on surrogate accuracy were systematically examined; pure Latin hypercube sampling (LHS) with 2500 training samples and a 40–20 hidden-layer architecture provided the most reliable predictive performance. The optimization problem was formulated using moisture removal capacity (MRC), heater power consumption (<em>pH</em>), and process outlet temperature (<em>T</em>_{<em>p,out</em>}) as objective functions, with the outlet-humidity ratio explicitly imposed as a feasibility constraint to represent ultra-low-humidity dry room requirements. Comparison between constrained and unconstrained NSGA-II showed that favorable objective values, particularly high MRC, do not guarantee sufficient outlet-air dryness, confirming that MRC alone is an insufficient design criterion. Among three constrained optimization methods, the hybrid NSGA-II + MOPSO approach provided the most balanced trade-off across all examined outlet-humidity targets (<em>β</em> = 0.2–0.8), consistently achieving the lowest median heater power consumption and favorable process outlet temperatures while satisfying the dryness requirement; for the strictest target (<em>β</em> = 0.2), it achieved a median humidity reduction of 82.5% with only 3.79 kW of heater power, roughly 55–64% lower than the other methods. Finally, the feasible solutions were translated into design-oriented tables (low-energy, low-temperature, high-MRC, high-dehumidification, and balanced options) to support design selection across different performance priorities.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132999"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical study of thermoelectric energy recovery for an underwater glider using a dynamic phase-change heat transfer model","authors":"Chao Song,&nbsp;Jipeng Zhang,&nbsp;Menghan Li,&nbsp;Yaqiang Lu,&nbsp;Fankai Meng,&nbsp;Lin Zhou","doi":"10.1016/j.applthermaleng.2026.132973","DOIUrl":"10.1016/j.applthermaleng.2026.132973","url":null,"abstract":"<div><div>The underwater glider, as the core platform for long-term observation tasks in the deep sea, is limited in its endurance by the battery capacity. Utilizing ocean thermal energy for thermoelectric-phase change energy recovery is an effective way to break through this bottleneck. Accurately predicting the system performance is crucial for engineering optimization. However, existing numerical studies generally adopt the lumped parameter method, which ignores the dynamic heat transfer process within the phase change material (PCM) and the natural convection enhancement effect, resulting in insufficient prediction accuracy of performance. To address this issue, this study develops a distributed transient model for a thermoelectric–phase change energy recovery system in an underwater glider. The model considers the radial temperature distribution, the evolution of the phase-change region, and natural-convection-enhanced heat transfer in the PCM. The effective heat capacity method is used to describe latent heat during solid–liquid phase change, and a dynamic effective thermal conductivity is introduced to account for liquid-phase natural convection. Under a representative operating condition, the system recovers 6.20 kJ of electrical energy per day, and the final liquid fraction of the PCM reaches 64.98%. When natural convection is included, the recovered energy is 416.76% higher than that under the pure-conduction assumption, showing that natural convection strongly affects the PCM melting process. The results also show that the number of TEG modules should be matched with the heat-exchanger length. Increasing the glider speed improves the recovered energy and reduces the influence of the gliding angle. Compared with a conventional lumped-parameter model, the proposed distributed model predicts much higher recovered energy in the low-TEG-number region, with differences of 3.07–4.95 kJ. The model describes the transient behavior of the system under different operating conditions and can support the design of underwater thermoelectric energy recovery systems.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132973"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient MDEA-PZ-based CO2 capture processes for flue gas from a coal-fired plant through multi-variable optimization and system integration","authors":"Ahao Ren,&nbsp;Zhengdong Zhu,&nbsp;Dong Xiang","doi":"10.1016/j.applthermaleng.2026.132993","DOIUrl":"10.1016/j.applthermaleng.2026.132993","url":null,"abstract":"<div><div>Monoethanolamine (MEA), as an important chemical absorbent in the carbon capture processes, has a high regeneration energy consumption that limits its large-scale application in industry. To address this problem, this study sequentially investigates and optimizes the mixed amine concentration, absorbent composition, lean absorbent loading, and desorption pressure, with the objective of minimizing the regeneration energy consumption in a methyldiethanolamine-piperazine (MDEA-PZ)- based CO₂ capture process for flue gas from a 550 MW coal-fired power plant. This study also proposes a coupled process of intercooled absorber, mechanical vapor recompression, improved rich absorbent split, and compression heat recovery to further reduce the regeneration energy consumption. Finally, a techno-economic evaluation of the studied processes is carried out. The results reveal that the combined application of mixed amine absorbent, parameter optimization, and process coupling enables a significant reduction in regeneration energy consumption, from 3.91 GJ/t CO₂ for the MEA-based CO₂ capture process to 2.21 GJ/t CO₂ for the MDEA-PZ-based CO₂ capture process. This study also found that the equivalent work consumption and CO₂ capture cost of the MDEA-PZ-based CO₂ capture process are 22.39% and 21.65% lower than those of the MEA-based CO₂ capture process. Compared with the MEA, the MDEA-PZ has more technical and economic performance potential for large-scale industrial application of carbon capture.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132993"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a pressure-gradient-corrected boundary-layer heat-transfer model under intensified combustion conditions","authors":"Ranran Huang,&nbsp;Long Liu,&nbsp;You Liu","doi":"10.1016/j.applthermaleng.2026.133000","DOIUrl":"10.1016/j.applthermaleng.2026.133000","url":null,"abstract":"<div><div>Accurate prediction of wall heat flux is essential for the thermal management and durability design of high-power-density diesel engines. However, experimental validation of conventional boundary-layer heat-transfer models under intensified combustion conditions remains limited owing to the scarcity of reliable wall heat-flux data. In this study, a constant-volume combustion chamber (CVCC) was employed to reproduce the pressure and thermal loading conditions representative of intensified combustion in high-power-density diesel engines. Transient piston temperature measurements were used to reconstruct wall heat-flux histories, which served as the benchmark for evaluating four classical boundary-layer heat-transfer models. Among the evaluated models, the Han–Reitz model exhibited the highest overall prediction accuracy among the evaluated models. Further analysis based on CFD simulations revealed a clear spatial correlation between the prediction error of the Han–Reitz model and the pressure-gradient magnitude within the near-wall region, with larger deviations occurring in regions characterized by stronger pressure gradients. To account for this effect, the Han–Reitz model was extended by incorporating the wall-normal pressure-gradient source term neglected in the original formulation. Validation under three combustion conditions with peak pressures of 18, 22, and 25 MPa indicates that the influence of wall-normal pressure-gradient effects becomes increasingly significant with increasing combustion intensity. For the 22 and 25 MPa cases, incorporation of the proposed correction reduces the peak prediction error at representative locations from approximately 20–27% to below 10%. The results suggest that wall-normal pressure-gradient effects play a significant role in boundary-layer heat transfer under intensified combustion conditions and should be incorporated in wall heat-transfer modeling for high-power-density diesel engines.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 133000"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Passive evaporative cooling for solar interfacial evaporation–thermoelectric cogeneration: a transient multiphysics analysis","authors":"Chengjie Jiang,&nbsp;Ying Guo,&nbsp;Song Lv","doi":"10.1016/j.applthermaleng.2026.132976","DOIUrl":"10.1016/j.applthermaleng.2026.132976","url":null,"abstract":"<div><div>Solar interfacial evaporation–thermoelectric generation (SIE–TEG) enables simultaneous water and electricity production, but its transient device response and cold-side thermal management remain insufficiently understood. Here, a baseline SIE–TEG device was constructed by integrating TA/SA/APTES@Fe³⁺-coated carbon cloth with a commercial thermoelectric generator, and a three-dimensional transient heat–mass–electricity model was established. Under one-sun irradiation, the device achieved an evaporation rate of 1.04 kg m⁻² h⁻¹ and a peak open-circuit voltage of 124.4 mV. The model was validated against cumulative water-mass loss, evaporator-surface temperature, TEG hot- and cold-side temperatures, and open-circuit voltage, with RMSDs of 0.24%–7.80%. Within the investigated ranges, fewer thermoelectric-leg pairs and taller legs improved the predicted evaporation and electrical outputs, while bulk-water depth and ambient conditions produced distinct evaporation–power trade-offs. A finned passive evaporative cooling configuration was further assessed numerically. The best-performing investigated case predicted a total evaporation rate of 2.12 kg m⁻² h⁻¹ and a maximum electrical power density of 0.80 W m⁻². This work provides a validated full-device transient framework and range-specific guidance for SIE–TEG and cold-side design.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132976"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-guided multiscale modeling of effective gas thermal conductivity in nanoporous materials: Molecular dynamics-informed macroscopic model","authors":"Amirehsan Ghasemi,&nbsp;Murat Barisik","doi":"10.1016/j.applthermaleng.2026.132861","DOIUrl":"10.1016/j.applthermaleng.2026.132861","url":null,"abstract":"<div><div>Nanoporous materials derive their exceptional thermal insulation capabilities from the confinement of gas within nanoscale pores. However, existing modeling approaches and experimental techniques often fail to provide accurate characterization, limiting the tailored design and manufacturing of such materials. Due to the nanoscale nature of the underlying physics, accurate estimates can be obtained through molecular simulations of specific structures. Yet, real-life nanoporous systems are complex and exhibit diverse structural configurations. Physics-informed data-driven techniques offer a promising approach to bridge these gaps, but they often lack proper characterization of the underlying molecular-level physics. Complex machine learning models can achieve high accuracy but often provide little insight into the mechanisms that govern them and lack transparency. To address these limitations, we employed our recently developed mesoscale molecular boundary condition that enables sufficiently large molecular dynamics (MD) simulations to accurately capture gas-phase heat transfer within confined geometries. Using the resulting MD data, we construct a macroscopic model to predict the effective gas thermal conductivity of idealized rectangular nanoscale channels, incorporating effects of gas non-equilibrium, multidimensional confinement, and lateral thermal coupling. The modeling framework captures essential physical trends while maintaining full mathematical interpretability and achieving machine learning-level performance with complete transparency. This multiscale framework bridges nanoscale molecular physics and macroscopic continuum modeling, achieving improved predictive accuracy for gas conduction in idealized micro- and nanoporous materials. Overall, the study provides an interpretable, multiscale modeling strategy that combines molecular dynamics, physics-informed regression, and machine learning concepts to advance the understanding and design of nanoscale thermal transport systems.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132861"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148856147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermodynamic and economic analysis of a dual-effect PVT collector assisted ejector flash tank vapor injection heat pump cycle for drying application","authors":"Jiajie Ma,&nbsp;Longxiao Wei,&nbsp;Wengang Hao,&nbsp;Xiyu Wang,&nbsp;Lei Wang","doi":"10.1016/j.applthermaleng.2026.132981","DOIUrl":"10.1016/j.applthermaleng.2026.132981","url":null,"abstract":"<div><div>Due to the enormous energy demand and irreversible losses in traditional heat pump drying, a dual-effect photovoltaic/thermal (PVT) collector assisted ejector flash tank vapor injection heat pump cycle (PAEFVIC) for drying application is proposed in this study. The novel thermodynamic cycle of PAEFVIC lies in splitting of the working fluid at the ejector outlet into the expansion valve path and the PVT collector path. The performance improvement between the conventional flash tank vapor injection heat pump cycle (FVIC) and PAEFVIC are evaluated through thermodynamic and economic analysis. The simulation results indicate that the heating coefficient of performance (COP_h) and volumetric heating capacity (Q_cv) of PAEFVIC are improved by 36.76% and 209.58% compared to FVIC. The overall COP also reaches up to 7.02. Additionally, the PVT collector exhibits a maximum exergy destruction of 2581.56 W. The exergy destruction of two expansion valves for PAEFVIC is lower than that of FVIC. Furthermore, the net present value (NPV) of PAEFVIC exceeds that of FVIC after approximately 1.123 years, while its discounted payback period is 1.128 years. This study can provide a theoretical basis for the engineering application of the PAEFVIC system.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132981"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148855669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of a fin-and-tube latent thermal energy storage for domestic hot water application","authors":"Pier Paolo Figiaconi,&nbsp;Tommaso Toppi,&nbsp;Luca Molinaroli,&nbsp;Philipp Roos,&nbsp;Simone Gallarini","doi":"10.1016/j.applthermaleng.2026.132917","DOIUrl":"10.1016/j.applthermaleng.2026.132917","url":null,"abstract":"<div><div>Latent thermal energy storage systems offer a compact solution for domestic hot water applications. However, their adoption is limited by the high heat exchanger cost, mainly due to the copper and aluminium required to compensate for the low thermal conductivity of the phase change material. Reducing the material used while maintaining performance remains a critical challenge. This study presents a novel optimization framework based on a fast numerical model of a fin-and-tube latent thermal energy storage coupled with a genetic algorithm. The framework identifies improved configurations for domestic hot water production by evaluating each geometry through indicators related to practical use, namely the delivered water volume at 40 °C, the occupied volume and the heat exchanger cost. A two-dimensional axisymmetric model with separate charging and discharging circuits is developed, including fin geometry and the supercooling behaviour of the material. The model is validated under representative operating conditions, yielding root mean square deviations of the outlet water temperature below 0.5 °C during charging and 2 °C during discharging. Neglecting supercooling led to an overestimation of the heat transfer rate by up to 30%, showing its importance for accurate discharge prediction. The optimization assessed 580 configurations over complete charge and discharge cycles. The selected configuration reduced the heat exchanger cost by 22.2% and improved the performance-to-cost ratio by 7.6% relative to a reference commercial design. The proposed optimization framework could support storage design for domestic hot water applications.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132917"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Full-range drift-flux correlation for boiling and adiabatic co-current downward two-phase flows in vertical pipes","authors":"Chuanshuai Dong,&nbsp;Takashi Hibiki","doi":"10.1016/j.applthermaleng.2026.132918","DOIUrl":"10.1016/j.applthermaleng.2026.132918","url":null,"abstract":"<div><div>Accurately predicting void fraction (VF) for boiling and adiabatic two-phase flows is important in many engineering fields, especially in nuclear thermal-hydraulic analysis. Typical one-dimensional computational codes for nuclear thermal-hydraulic analyses have been developed using the two-fluid model, in which the interfacial drag force is formulated using the drift-flux model. However, because the buoyancy force and the flow direction act in opposite directions, the drift-flux correlations for boiling and adiabatic vertical downward co-current two-phase flows are limited or entirely empirically derived from specific databases. Therefore, this paper developed a “full-range drift-flux correlation” for vertical downward gas-liquid flows, grounded in a scientific philosophy to minimize empiricism. First, the critical area-averaged VF was determined by considering the similarity between the distributions of VF and the mixture volumetric flux. The constitutive equations of the distribution parameter and drift velocity were analytically developed for pure dispersed and beyond-dispersed flows. To validate the new drift-flux correlation, an extensive literature survey was conducted, collecting 506 VF data from 9 sources published from 1962 to present. The mean relative deviation, <span><math><msub><mi>m</mi><mi>rel</mi></msub></math></span>, and mean absolute relative deviation, <span><math><msub><mi>m</mi><mrow><mi>rel</mi><mo>,</mo><mi>ab</mi></mrow></msub></math></span>, between the experimental and calculated adiabatic and boiling VFs were 3.07% and 8.93%, respectively, validating the accuracy of the proposed full-range drift-flux correlation.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"305 ","pages":"Article 132918"},"PeriodicalIF":7.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148953433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}