Thermal Science and Engineering Progress最新文献_第2页

Experimental characterization of thermal and viscous powers in porous media under oscillating flow 振荡流下多孔介质中热动力和粘性动力的实验表征

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-23 DOI: 10.1016/j.tsep.2024.103057

Elio Di Giulio , Camille Perrot , Raffaele Dragonetti

Porous materials are integrated components across various industries, offering unique properties such as high surface area, low density, and good permeability. They have a wide range of applications including energy conversion, with relevance in sound absorption and thermoacoustic phenomena. Understanding the intricate energy conversion mechanisms within the microstructure of porous materials under oscillating flows, such as sound waves, is paramount for optimizing their performance in these applications. The techniques currently used for testing porous materials enable the characterization of the behaviour of the porous matrix when subjected to an acoustic wave, without consideration to energetic quantities. Here, this paper presents two novel measurement techniques allowing for the experimental quantification of the power dissipated within the porous material, by making an explicit distinction between thermal relaxation and viscous dissipation effects. The study involves a model to quantify the viscous and thermal energetic behaviours from which analytical expressions guiding the elaboration of the proposed experimental techniques are derived, and finally validated through experimental data. Experimental tests have been carried out on three different samples (polyester fibers, wire mesh and triangular pores sample) largely used both in acoustic and thermoacoustic fields. The experimental data compared with the theoretical prediction for each sample allow to validate the measurement methodologies. By bridging theoretical modelling with experimental validation, this work contributes to the broader understanding and utilization of porous materials in energy conversion applications.

多孔材料是各行各业的集成组件，具有高表面积、低密度和良好的渗透性等独特性能。多孔材料应用广泛，包括能量转换、吸声和热声现象。要优化多孔材料在这些应用中的性能，最重要的是了解多孔材料微结构在声波等振荡流作用下错综复杂的能量转换机制。目前用于测试多孔材料的技术只能表征多孔基质在声波作用下的行为，而不考虑能量量。本文介绍了两种新型测量技术，通过明确区分热松弛和粘性耗散效应，可以对多孔材料内部耗散的能量进行实验量化。研究涉及一个模型，用于量化粘性和热能行为，并从中推导出分析表达式，指导所建议实验技术的阐述，最后通过实验数据进行验证。对三种不同的样品（聚酯纤维、金属丝网和三角孔样品）进行了实验测试，这些样品主要用于声学和热声学领域。实验数据与每个样品的理论预测进行比较，从而验证了测量方法。通过将理论建模与实验验证相结合，这项工作有助于更广泛地了解和利用多孔材料在能源转换中的应用。

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引用次数: 0

A sustainable waveguide-based design strategy for improving the energy efficiency of microwave hybrid heating systems: A combined theoretical and multi-physics simulation approach 提高微波混合加热系统能效的基于波导的可持续设计策略：理论与多物理场仿真相结合的方法

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-22 DOI: 10.1016/j.tsep.2024.103054

D.K. Patel, A. Mohanty, S.K. Panigrahi

The microwave hybrid heating (MHH) based processing has emerged as energy-efficient and productive manufacturing process. The efficiency of MHH depends upon the ability of waveguide system to transmit the electromagnetic radiation with minimal loss. Thus to improve the efficiency of MHH it is of paramount importance to understand the potential of waveguide systems. In the present work, the influence of different waveguide systems, their positioning, and different modes of operation on MHH efficiency were studied via theoretical and simulation investigations followed by experimental validation. Based on the study, the optimum waveguide system was identified as WR430. To assess the efficiency and effectiveness of the waveguide positioning on MHH, 12 different locations were considered, and the optimum location was identified as (+35, −35), with a maximum microwave utilization efficiency of 44.5 %. Subsequently, the simulation model (1049 °C) was validated using experimental data (1017 °C) with an error of less than 10 %. Also, MHH is sensitive to different waveguide operating modes, SiC susceptor positioning and microwave power. A microwave cavity operating with two waveguides on both sides is found to provide optimum results in terms of heating uniformity, electric field distribution, and microwave energy absorption. The SiC susceptor positioned at the centre of the alumina refractory yields maximum heat evolution of 1020 °C. In addition, as the microwave power grows, the temperature differential also increases, implying thermal heterogeneity inside the SiC susceptor. Thus, low microwave power is identified for improved thermal uniformity and energy efficiency, while high power is proven for rapid differential microwave heating.

基于微波混合加热（MHH）的加工已成为一种高能效、高生产率的制造工艺。微波混合加热的效率取决于波导系统以最小损耗传输电磁辐射的能力。因此，要提高 MHH 的效率，了解波导系统的潜力至关重要。在本研究中，我们通过理论和模拟研究，以及实验验证，研究了不同波导系统、其定位和不同工作模式对 MHH 效率的影响。根据研究结果，确定最佳波导系统为 WR430。为了评估波导定位在 MHH 上的效率和效果，考虑了 12 个不同的位置，确定最佳位置为（+35，-35），最大微波利用效率为 44.5%。随后，模拟模型（1049 °C）通过实验数据（1017 °C）进行了验证，误差小于 10%。此外，MHH 对不同的波导工作模式、碳化硅吸收体定位和微波功率都很敏感。在加热均匀性、电场分布和微波能量吸收方面，一个两侧有两个波导的微波腔能提供最佳结果。位于氧化铝耐火材料中心的碳化硅吸收体产生的最大热量为 1020 ℃。此外，随着微波功率的增加，温差也在增大，这意味着碳化硅吸收体内部存在热异质性。因此，低微波功率可提高热均匀性和能效，而高功率则可实现快速微波差加热。

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引用次数: 0

Thermodynamic analysis of a novel concentrated solar power plant with integrated thermal energy storage 新型集成热能储存聚光太阳能发电站的热力学分析

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-22 DOI: 10.1016/j.tsep.2024.103055

Gerard Deepak , Kapil Aggarwal , N. Dineshbabu , R. Sowndharya , B. Manimaran , B.J. Job Karuna Sagar

This research provides a detailed thermodynamic analysis of a new Concentrated Solar Power (CSP) plant with integrated Thermal Energy Storage (TES). The plant combines a central receiver tower with a supercritical CO₂ (sCO₂) Brayton power cycle and a hybrid sensible-latent heat storage system.

The analysis shows significant improvements in energy and exergy efficiencies (41.3 % and 38.7 %, respectively) compared with conventional CSP plants. The integrated system’s optimal operating conditions are obtained with a receiver temperature of 750 °C, a TES capacity of 12 h, a solar multiple of 2.5, an s CO₂ cycle with a turbine inlet temperature of 750 °C, and a pressure ratio of 2.8.

The analysis of the TES performance shows the great potential of the hybrid storage system in improving dispatchability and capacity factors. The economic analysis shows a competitive Levelized Cost of Electricity (LCOE), and the environmental impact assessment shows a great reduction in greenhouse gas emissions.

The present study presents a blueprint for developing high-performance CSP systems with advanced components and operating conditions. It demonstrates the promising potential of the proposed CSP-TES system, a viable, efficient, sustainable, and cost-effective technology for power generation. This technology will enable us to address the global transition towards clean energy.

本研究对一个集成热能储存（TES）的新型聚光太阳能（CSP）发电厂进行了详细的热力学分析。分析表明，与传统的 CSP 发电站相比，该发电站的能效和放电效率均有显著提高（分别为 41.3% 和 38.7%）。在接收器温度为 750 °C、TES 容量为 12 小时、太阳能倍数为 2.5、汽轮机入口温度为 750 °C、压力比为 2.8 的 s CO2 循环条件下，可获得集成系统的最佳运行条件。经济分析表明，该系统的平准化电力成本（LCOE）极具竞争力，环境影响评估表明，该系统大大减少了温室气体排放。本研究提出了利用先进组件和运行条件开发高性能 CSP 系统的蓝图，展示了拟议的 CSP-TES 系统的巨大潜力，这是一种可行、高效、可持续和具有成本效益的发电技术。这项技术将使我们能够应对全球向清洁能源的过渡。

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引用次数: 0

Indoor thermal energy environment control and beauty health management based on image encryption algorithm 基于图像加密算法的室内热能环境控制和美容健康管理

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-22 DOI: 10.1016/j.tsep.2024.103067

Li Lei

In today’s society, effective control of indoor thermal environment and beauty and health management are increasingly valued. This study aims to explore effective methods for indoor thermal environment control and beauty health management based on image encryption algorithms, with the aim of improving customer experience and reducing energy consumption. The study introduces the theoretical basis of image encryption algorithms, including image encryption and decryption architecture, chaotic sequence generation, compression encryption, and simulation results. These basic algorithms provide technical means to ensure customer privacy and data security. Subsequently, customer behavior image recognition technology was analyzed for thermal environment control in beauty salons, and the relationship between customer behavior and indoor thermal environment was explored. By analyzing customer behavior data, an intelligent control system was constructed that can dynamically adjust indoor temperature based on real-time changes, thereby optimizing customer comfort and satisfaction. This study designed a beauty and health management system that covers system structure, management functions, and optimization strategies to achieve comprehensive management of thermal environment and beauty and health. Through experiments, it has been proven that the system not only improves customer satisfaction but also helps reduce overall energy consumption, achieving the expected results.

在当今社会，有效控制室内热环境和美容健康管理越来越受到重视。本研究旨在探索基于图像加密算法的室内热环境控制和美容健康管理的有效方法，以改善顾客体验和降低能耗。研究介绍了图像加密算法的理论基础，包括图像加解密架构、混沌序列生成、压缩加密和仿真结果。这些基本算法为确保客户隐私和数据安全提供了技术手段。随后，分析了用于美容院热环境控制的顾客行为图像识别技术，探讨了顾客行为与室内热环境之间的关系。通过分析顾客行为数据，构建了一个智能控制系统，可根据实时变化动态调节室内温度，从而优化顾客的舒适度和满意度。本研究设计了一个美容与健康管理系统，涵盖系统结构、管理功能和优化策略，以实现热环境和美容与健康的综合管理。通过实验证明，该系统不仅能提高顾客满意度，还有助于降低整体能耗，达到了预期效果。

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引用次数: 0

Computer vision algorithm based on fiber optic sensors and infrared thermal radiation images for fatigue detection under simulated operating conditions 基于光纤传感器和红外热辐射图像的计算机视觉算法，用于模拟工作条件下的疲劳检测

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-21 DOI: 10.1016/j.tsep.2024.103066

Chen Wenbo

In modern industrial and engineering fields, fatigue detection of equipment and structures is an important link to ensure safety and extend service life. Traditional detection methods often rely on direct physical monitoring, which has certain limitations. In recent years, infrared thermal radiation imaging technology has attracted wide attention because of its non-contact and high sensitivity. This study aims to explore a new fatigue detection method based on infrared thermal radiation images by combining optical fiber sensor and computer vision algorithm, so as to improve the accuracy and real-time performance of fatigue diagnosis. In this study, a fiber optic sensor is used to monitor strain data in real time by applying periodic loads to different material and structural samples in an experimental environment. At the same time, infrared thermal imaging camera was used to obtain the temperature distribution information of the material surface. The infrared thermal radiation image is combined with the sensor data, and the deep learning algorithm is used to extract the feature and identify the fatigue state. The experimental results show that the infrared thermal radiation image can effectively reflect the temperature change of the material in the fatigue process, and complement the mechanical information provided by the optical fiber sensor. Through the constructed computer vision model, the classification accuracy of fatigue state is obviously better than the traditional detection means, which provides a new and effective method for fatigue detection, which can realize more efficient and accurate real-time monitoring, and has a wide application prospect.

在现代工业和工程领域，设备和结构的疲劳检测是确保安全和延长使用寿命的重要环节。传统的检测方法往往依赖于直接的物理监测，具有一定的局限性。近年来，红外热辐射成像技术因其非接触、高灵敏度等特点受到广泛关注。本研究旨在结合光纤传感器和计算机视觉算法，探索一种基于红外热辐射图像的新型疲劳检测方法，从而提高疲劳诊断的准确性和实时性。本研究采用光纤传感器，在实验环境中对不同材料和结构样品施加周期性载荷，实时监测应变数据。同时，使用红外热像仪获取材料表面的温度分布信息。将红外热辐射图像与传感器数据相结合，利用深度学习算法提取特征并识别疲劳状态。实验结果表明，红外热辐射图像能有效反映材料在疲劳过程中的温度变化，与光纤传感器提供的力学信息形成互补。通过构建的计算机视觉模型，疲劳状态的分类精度明显优于传统检测手段，为疲劳检测提供了一种新的有效方法，可实现更高效、更准确的实时监测，具有广泛的应用前景。

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引用次数: 0

Research on green manufacturing process optimization based on thermal efficiency optimization and LCA technology 基于热效率优化和生命周期评估技术的绿色制造工艺优化研究

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-20 DOI: 10.1016/j.tsep.2024.103063

Li Jianwei

In the context of sustainable development and increasing awareness of environmental protection, the manufacturing industry faces the dual challenge of improving resource efficiency and reducing environmental impact. This study aims to explore the optimization scheme of green manufacturing process through the combination of thermal efficiency optimization and life cycle assessment (LCA) technology, and promote the sustainable development of manufacturing industry. In this paper, a combination of experimental and theoretical analysis is used to first evaluate the thermal energy utilization rate in the current manufacturing process and identify the existing energy waste. Subsequently, the thermal efficiency was improved by introducing an improved heat recovery system and optimizing process parameters. Using LCA technology, the environmental impact assessment of the manufacturing process before and after optimization is carried out to quantify the effect of the optimization measures. Studies have shown that through thermal efficiency optimization, energy consumption in manufacturing processes is reduced and greenhouse gas emissions are significantly reduced.

在可持续发展和环保意识不断增强的背景下，制造业面临着提高资源利用效率和降低环境影响的双重挑战。本研究旨在通过热效率优化与生命周期评估（LCA）技术的结合，探索绿色制造工艺的优化方案，促进制造业的可持续发展。本文采用实验分析和理论分析相结合的方法，首先评估了当前制造过程中的热能利用率，找出了存在的能源浪费现象。随后，通过引入改进的热回收系统和优化工艺参数，提高了热效率。利用生命周期评估技术，对优化前后的制造过程进行环境影响评估，量化优化措施的效果。研究表明，通过热效率优化，生产过程中的能耗降低了，温室气体排放量也显著减少。

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引用次数: 0

Effect of fuel characteristics coupled with injection parameters on oil–gas mixing and combustion processes in diesel engines 燃油特性和喷射参数对柴油发动机油气混合和燃烧过程的影响

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-20 DOI: 10.1016/j.tsep.2024.103062

Jieru Yang , Guoxiu Li , Hongmeng Li , Xiaoqin Zhang , ZhanGuang Wang

The physicochemical properties of fuels are critical determinants of the in-cylinder processes, overall performance, and emission characteristics of internal combustion engines. The distinctive characteristics of various fuels during atomization, evaporation, oil–gas mixing, ignition, and combustion phases play a decisive role in determining the combustion efficiency, thermal efficiency, and formation of pollutants. This study conducts a comprehensive comparative analysis of the physical and chemical properties of five distinct fuels, focusing on their interactions with the injection parameters. This investigation delineates the influence of these properties on the spray breakup dynamics and subsequent combustion processes. Results demonstrate that while the fuels exhibit varying sensitivities to injection parameters, optimal combustion performance is consistently achieved when the injection timing is set at 22° Before the Top Dead Center(BTDC), the nozzle orifice diameter is 0.32 mm, and the beam angle is maintained at 160°. This analysis provides novel insights into the complex coupling effects of fuel properties and injection strategies on in-cylinder processes, thereby contributing to the design and development of high-efficiency, low-emission internal combustion engines.

燃料的物理化学特性是决定内燃机缸内过程、整体性能和排放特性的关键因素。各种燃料在雾化、蒸发、油气混合、点火和燃烧阶段的不同特性对燃烧效率、热效率和污染物的形成起着决定性作用。本研究对五种不同燃料的物理和化学特性进行了全面的比较分析，重点关注它们与喷射参数之间的相互作用。这项研究确定了这些特性对喷雾破裂动力学和后续燃烧过程的影响。结果表明，虽然燃料对喷射参数的敏感性各不相同，但当喷射正时设定为顶死中心（BTDC）前 22°、喷嘴孔径为 0.32 毫米、束角保持在 160°时，始终能实现最佳燃烧性能。这项分析为了解燃料特性和喷射策略对缸内过程的复杂耦合效应提供了新的视角，从而有助于设计和开发高效、低排放的内燃机。

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引用次数: 0

Effect of foulant on temperature and steam quality profiles in once-through steam generator tubes 污垢对一次通过式蒸汽发生器管道内温度和蒸汽质量曲线的影响

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-20 DOI: 10.1016/j.tsep.2024.103059

Mohan Sivagnanam, Anil K. Mehrotra, Ian D. Gates

Once-through steam generators (OTSGs) are commonly used in the oil sands industry for steam generation for in-situ thermal recovery of extra heavy oil. These are expensive operations with challenges associated with the deposition of foulants, arising from solids and hydrocarbons in the boiler feed water, on the inner tube wall that leads to a decreased heat transfer rate. The foulant deposition also causes elevated tube-wall temperatures, which may lead to tube failure. This study examines the impact of foulant on the tube-wall temperature profile and vapor-to-liquid ratio in an OTSG. A three-dimensional finite volume model of multiphase flow and heat transfer in a single pass of a field-scale OTSG unit is described. Detailed flow behavior and heat transfer characteristics of water and steam from the CFD model were compared to field data. Thereafter, fouling was added to the model to explore overheating and erosion zones in the OTSG tubes. Velocity, temperature distribution, and steam generation in the OTSG tubes in the convection section and radiant section were investigated for areas prone overheating. It was found that the CFD model simulation results closely matched the bulk fluid temperature of the field unit. In the presence of fouling, the outer skin temperature from the model was well within the range of the thermocouple data from the field unit, enabling the application of the model to identify the foulant thickness based on the outer skin temperature. Lastly, the model demonstrated that the bends are the most likely sites for erosion within the pass.

油砂行业通常使用直通式蒸汽发生器（OTSG）产生蒸汽，用于特重油的就地热回收。由于锅炉给水中的固体和碳氢化合物会在管内壁沉积污物，导致传热速率降低，因此这种昂贵的运行方式面临着挑战。污垢沉积还会导致管壁温度升高，从而可能导致管道故障。本研究探讨了污垢对 OTSG 中管壁温度曲线和汽液比的影响。研究描述了现场规模 OTSG 设备单程中多相流和传热的三维有限体积模型。将 CFD 模型中水和蒸汽的详细流动行为和传热特性与现场数据进行了比较。之后，在模型中加入了污垢，以探索 OTSG 管道中的过热区和侵蚀区。在对流段和辐射段，对 OTSG 管道中的流速、温度分布和蒸汽产生情况进行了调查，以确定易发生过热的区域。结果发现，CFD 模型模拟结果与现场装置的散装流体温度非常吻合。在存在污垢的情况下，模型得出的外皮温度完全在现场设备热电偶数据的范围内，因此可以应用模型根据外皮温度确定污垢厚度。最后，该模型还表明，弯道是最有可能发生侵蚀的通道。

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引用次数: 0

Simulation of body trajectory detection in sports training based on infrared thermal imaging image features 基于红外热成像图像特征的运动训练中身体轨迹检测模拟

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-20 DOI: 10.1016/j.tsep.2024.103061

Si Wei

The traditional motion trajectory detection methods are limited by illumination conditions and occlusion, and it is difficult to capture the athlete’s motion path accurately and in real time. The aim of this study is to improve the accuracy and real-time performance of motion trajectory detection, and to provide more effective auxiliary means for athletes’ training and competition. The image feature analysis method based on Infrared Thermal Imaging, combined with computer vision and machine learning technology, is used to monitor and analyze the motion scene. Infrared Thermal Imaging equipment is used to collect data of motion scenes and obtain infrared image sequence. Then, through the steps of image preprocessing, feature extraction and target recognition, the position and motion trajectory of athletes at different time points are obtained. The experimental results show that the image feature analysis method based on Infrared Thermal Imaging can effectively capture the athlete’s motion trajectory, and has higher accuracy and real-time performance. The method has better adaptability and robustness in complex environments such as lighting conditions and occlusion.

传统的运动轨迹检测方法受光照条件和遮挡的限制，难以准确、实时地捕捉运动员的运动轨迹。本研究旨在提高运动轨迹检测的准确性和实时性，为运动员的训练和比赛提供更有效的辅助手段。本研究采用基于红外热成像技术的图像特征分析方法，结合计算机视觉和机器学习技术，对运动场景进行监测和分析。利用红外热成像设备采集运动场景数据，获取红外图像序列。然后，通过图像预处理、特征提取和目标识别等步骤，得到运动员在不同时间点的位置和运动轨迹。实验结果表明，基于红外热成像的图像特征分析方法能有效捕捉运动员的运动轨迹，具有较高的准确性和实时性。该方法在光照条件和遮挡等复杂环境下具有更好的适应性和鲁棒性。

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引用次数: 0

Research on prediction model of two-phase flow and friction pressure drop in spiral pipe based on flow regimes 基于流态的螺旋管内两相流及摩擦压降预测模型研究

IF 5.1 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress

Pub Date : 2024-11-19 DOI: 10.1016/j.tsep.2024.103018

Zhongyun Tian , Wenke Zheng , Xueying Sun , Lei Wang , Yiqiang Jiang , Xiaoguang Mi

Natural gas, the cleanest fossil fuel, is a bridge to renewable energy systems and has received strong attention. There are still some challenges in the production of liquefied natural gas. This article experimentally investigates the condensation friction pressure drop of hydrocarbon mixture fluids during the liquefaction process of natural gas. Analyzed the effects of factors such as vapor quality, mass flux, and operating pressure, observed the flow regimes in the spiral pipe using a visualization system, divided the condensation flow patterns into four types, and obtained conversion criteria. Subsequently, the accuracy of eleven classic prediction models of friction pressure drop was compared, and a global model of friction pressure drop suitable for hydrocarbon mixture fluids was developed, incorporating flow regime-based mode and general mode. The global model had a mean absolute relative deviation of 12.5 % and 17.3 % under flow regime-based mode and general mode, respectively. Compared with the experimental and published paper data, it was verified that over 80 % of the data points had errors within 20 %.

天然气作为最清洁的化石燃料，是通向可再生能源系统的桥梁，受到了人们的强烈关注。液化天然气的生产仍面临一些挑战。本文通过实验研究了天然气液化过程中碳氢化合物混合流体的冷凝摩擦压降。分析了蒸汽质量、质量通量和操作压力等因素的影响，利用可视化系统观察了螺旋管中的流动状态，将冷凝流动模式分为四种类型，并得出了换算标准。随后，比较了 11 种经典摩擦压降预测模型的准确性，并结合基于流态的模式和一般模式，建立了适合烃类混合物流体的摩擦压降全局模型。在基于流态的模式和一般模式下，全局模型的平均绝对相对偏差分别为 12.5 % 和 17.3 %。与实验数据和发表的论文数据相比，超过 80% 的数据点误差在 20% 以内。

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引用次数: 0