International Journal of Thermophysics最新文献

{"title":"Durability Study of Fuel Cell Air Compressors Based on Experimental Measurement Data and Lifespan Prediction Models","authors":"Chaozheng Chang,&nbsp;Jianqin Fu,&nbsp;Peng Zhou","doi":"10.1007/s10765-025-03552-2","DOIUrl":"10.1007/s10765-025-03552-2","url":null,"abstract":"<div><p>As a key component of the fuel cell system, the air compressor plays a vital role in ensuring the stability and reliability of fuel cell systems. To conduct a durability study, a 5000-h durability test of the fuel cell air compressor (FCAC) was performed according to the designed test profile, which reflects the real-world operating conditions of fuel cell vehicles. Based on the collected durability test data, the performance degradation characteristics of the compressor over time were analyzed, and a remaining useful life (RUL) prediction model was developed. The durability test results show that as the rotational speed increases, the degradation of both the exhaust flow rate and pressure ratio becomes more pronounced. The operational range of these two parameters decreased by 6.2 % and 11.1 %, respectively. To mitigate stochastic noise interference in health indicators (HI), a novel feature optimization method called Moving Center SVR (MC-SVR) was proposed. This method effectively reduces the nuisance noise while preserving the inherent trend of the original HI, thereby enhancing its robustness. An RUL prediction model for the FCAC was established by integrating the dynamic exponential regression (DER) model with the MC-SVR method. Compared with other methods, the RUL prediction model trained with the optimized HI using the MC-SVR method achieved the best prediction performance across four evaluation metrics, namely MAE, MAPE, RMSE, and CRA. All of these provide valuable insights and references for the durability and thermophysics studies of FCACs.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Memoriam Alexander Voronel (1931–2024)","authors":"Mikhail A. Anisimov,&nbsp;Viktor Kontorovich,&nbsp;Valery L. Pokrovsky,&nbsp;Victor Steinberg","doi":"10.1007/s10765-025-03569-7","DOIUrl":"10.1007/s10765-025-03569-7","url":null,"abstract":"","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intermolecular Interactions in Ethyl Methanoate and C4-C7 1-Alkanol Mixtures: Experimental and Modeling","authors":"Mohammad Almasi,&nbsp;Ariel Hernández","doi":"10.1007/s10765-025-03567-9","DOIUrl":"10.1007/s10765-025-03567-9","url":null,"abstract":"<div><p>This study reports experimental measurements of the density and viscosity of mixtures containing ethyl methanoate and 1-alkanols (from 1-butanol to 1-heptanol) at 0.1 MPa and temperatures ranging from 293.15 K to 323.15 K. The derived properties (excess molar volume and viscosity deviation) were well correlated using the Redlich-Kister model. Additionally, the PC-SAFT equation of state provided an accurate representation of the experimental density data, and the highest quantitative agreement for the excess molar volume was obtained with fitted approach of PC-SAFT. In this work, it was found that the attractive intermolecular forces between different molecules are weaker than those between molecules of the same type.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrogen Bonding and Thermodynamic Deviations in Eucalyptol + 2-Alkanol: A DFT-Based Analysis","authors":"Fatemeh Alboghobeish,&nbsp;Ayeh Rayatzadeh,&nbsp;Mohammad Almasi,&nbsp;Neda Hasanzadeh","doi":"10.1007/s10765-025-03568-8","DOIUrl":"10.1007/s10765-025-03568-8","url":null,"abstract":"<div><p>In this study, we employed density functional theory (DFT) to investigate intermolecular interactions in binary systems of eucalyptol with 2-alkanol (from 2-propanol to 2-hexanol) and compared these findings with the experimental data of density and viscosity. The DFT calculations revealed key trends in the molecular interactions, such as the hydrogen bonding strength, across the studied mixtures. Although the DFT computations were calculated in the gas phase, the agreement between the predicted intermolecular interactions and the experimental measurements is remarkable. These computational results were validated by the experimental data, which confirmed the presence of strong molecular interactions. This reasonable alignment between theory and experiment indicates the power of integrating computational and experimental approaches to study the molecular behavior of mixtures.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Advances in Organic Phase Change Materials for Thermal Energy Storage: A Review on Sustainable Development Applications","authors":"Srikar Rao Chalivendula,&nbsp;Hariprasad Tarigonda","doi":"10.1007/s10765-025-03559-9","DOIUrl":"10.1007/s10765-025-03559-9","url":null,"abstract":"<div><p>The rising worldwide energy demand and the pressing necessity to reduce greenhouse gas emissions have propelled the advancement of sustainable thermal energy storage (TES) systems. Phase Change Materials (PCMs) have emerged as a promising technology owing to their capacity to efficiently store and release latent heat. Organic phase change materials (PCMs), particularly paraffins and fatty acids, have benefits such as elevated energy density, chemical stability, and non-corrosiveness, rendering them appropriate for HVAC systems, renewable energy integration, electric vehicle battery thermal management, and cold chain logistics. Nonetheless, obstacles include inadequate thermal conductivity, phase separation, leakage, and environmental repercussions hinder their extensive implementation. This review offers an exhaustive examination of current developments in organic phase change materials (PCMs), addressing encapsulation techniques, nano-enhanced PCMs, hybrid composites, and form stabilization approaches. Particular focus is directed toward AI-driven material optimization, 3D-printed PCM composites, and advanced encapsulating techniques to improve thermal performance and scalability. This analysis delineates emerging research themes, encompassing sophisticated 3D-printed PCM composites, hybrid PCMs, machine learning-driven PCM design, and the incorporation of PCMs into smart energy grids and waste heat recovery systems. The results highlight the necessity for economical, eco-friendly, and high-efficiency PCM systems to facilitate sustainable energy storage and management. This paper addresses current issues and proposes future research paths, serving as a complete reference for researchers, engineers, and politicians focused on advancing sustainable thermal energy storage technology.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental Characterization of Sustainable Cementitious Composites: Thermal Energy Storage with Recycled Wood Aggregates and Bio-based Phase Change Materials","authors":"Hala Salhab,&nbsp;Mahdi Zanjani,&nbsp;Sergio Nardini,&nbsp;Alberto Lagazzo,&nbsp;Saulo Rocha Ferreira,&nbsp;Antonio Caggiano","doi":"10.1007/s10765-025-03548-y","DOIUrl":"10.1007/s10765-025-03548-y","url":null,"abstract":"<div><p>This paper reports the results of an experimental program on sustainable cementitious composites made with recycled wood aggregates (RWAs) filled with bio-based phase change materials (PCMs). The experimental program focused on fabricating PCM–RWA-labeled energy wood aggregates (i.e., “NRG-WOOD”). Three mortar types of ordinary Portland cement (OPC), Wood-Mortar, and NRG-WOOD Mortar were evaluated for their thermal performance which involved hydration tests to monitor early-stage temperature evolution, dynamic sphere calorimetry (DKK) tests for latent heat storage assessment, and calorimetry to determine specific heat capacities. Durability was assessed through capillary absorption tests, while the experimental campaign also included mechanical tests to investigate the impact of PCM within the recycled wood aggregates, on the resulting mortar strengths under both compression and bending. Promising results have been obtained for the NRG-WOOD mortars, showing a significantly reduced water absorption by approximately 63% lower than conventional  OPC mortars and a high thermal energy storage capacity at an acceptable strength reduction of approximately 30% in compressive strength and a 24% reduction in flexural strength compared to OPC due to PCM addition. This study presents an innovative approach to PCM integration in RWAs, optimizing both thermal storage and durability. Compared to conventional mortars, the proposed NRG-WOOD mortar demonstrates a novel solution for sustainable and energy efficient construction by significantly enhancing moisture resistance while maintaining acceptable mechanical performance.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03548-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879660","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":"Modelling the Viscosity-Temperature Relationship of Alternative Fuel Blends: Comparison of Empirical and Machine Learning Models","authors":"Mert Gülüm","doi":"10.1007/s10765-025-03556-y","DOIUrl":"10.1007/s10765-025-03556-y","url":null,"abstract":"<div><p>The viscosity of fuel blends is significant in fuel injection, atomization, and engine performance. However, accurately estimating viscosity for various blend ratios and temperatures is challenging due to the nonlinear interactions between fuel components. The available models generally lack sufficient accuracy, and thus, the researchers need advanced predictive models. Therefore, this study aims to develop more accurate empirical and machine learning models to predict the viscosity of vegetable oil-biodiesel blends and vegetable oil–diesel fuel blends. For this aim, corn oil methyl ester is produced <i>via</i> transesterification. The dynamic and kinematic viscosities of corn oil–corn oil biodiesel blends and corn oil–diesel fuel blends are measured at various temperatures (10 °C to 70 °C) and corn oil blending ratios (10 <span>(%)</span> to 50 <span>(%)</span>). A rational model is developed based on 899 viscosity data points that include experimental and literature data. The accuracy of the rational model is compared with the machine learning (linear, decision trees, support vector machine, neural network, and Gaussian process regression) and empirical models previously proposed in the literature. The rational model has the best prediction ability with the lowest overall absolute relative deviations of 0.9469 <span>(%)</span> and 0.8789 <span>(%)</span> for the corn oil–corn oil biodiesel blends and corn oil–diesel fuel blends, respectively, outperforming machine learning and other empirical models. These findings confirm that the rational model can accurately improve viscosity prediction of fuel blends for engine modelling and optimisation studies. The model is also capable of optimising fuel formulations, improving engine performance, and reducing emissions through optimal control of fuel properties under real-world applications.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photoacoustic Signal of Optically Opaque Two-Layer Samples: Influence of Anomalous Thermal Diffusion","authors":"A. Somer,&nbsp;M. N. Popovic,&nbsp;G. K. da Cruz,&nbsp;A. Novatski,&nbsp;E. K. Lenzi,&nbsp;K. Djordjevic,&nbsp;S. Galovic","doi":"10.1007/s10765-025-03554-0","DOIUrl":"10.1007/s10765-025-03554-0","url":null,"abstract":"<div><p>This study analyzes the impact of anomalous diffusive heat equations (GCE) on the photoacoustic (PA) signal of the optically opaque two-layer sample measured in the gas-microphone configuration with minimum volume cell. We calculated the temperature distribution in the sample based on classical, hyperbolic, and two generalized fractional theories of heat propagation, including anomalous diffusion effects. Using the composite piston model, we derived the models of both the thermoelastic (TE) and thermodiffusion (TD) components as well as the total PA signal. In the analyses, we used opaque aluminum samples with an opaque dye coating. The results indicate that even small changes in fractional order of coating significantly affect the PA response of analyzed structure.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement of the Thermal Conductivity and Diffusivity of Steel and Glass Using Transient Methods","authors":"Svetozár Malinarič","doi":"10.1007/s10765-025-03564-y","DOIUrl":"10.1007/s10765-025-03564-y","url":null,"abstract":"<div><p>The thermal properties of steel are measured using the Dynamic Plane Source (DPS) and Transient Plane Source (TPS) methods, while those of silicate glass are measured using the Step Wise Transient (SWT), Extended DPS (EDPS), and TPS methods. The evaluation of the SWT, DPS, and EDPS measurements is improved by the use of the Finite Element Method (FEM). Comparison of the measurement results shows that the TPS results differ from the others by up to 4 %, indicating that the materials are slightly anisotropic. These differences can be explained by the fact that the thermal conductivity of glass is higher in the radial direction than in the axial direction. This is consistent with the idea that molecular chains are preferentially oriented in the radial direction as a result of mechanical deformation during the manufacturing process. However, the opposite is true for steel, where the crystals are preferentially oriented in the axial direction. After applying the anisotropic model of the TPS method, the relative differences between the results of the methods decrease to − 0.4 % for glass and 0.2 % for steel. These small differences can be attributed to measurement errors.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03564-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879661","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":"Prediction for Critical Temperature and Critical Pressure of Mixtures by Improved Empirical Correlations","authors":"Bo Tang,&nbsp;Xueqiang Dong,&nbsp;Yanxing Zhao,&nbsp;Maoqiong Gong","doi":"10.1007/s10765-025-03560-2","DOIUrl":"10.1007/s10765-025-03560-2","url":null,"abstract":"<div><p>Vapor–liquid critical properties of mixtures are key parameters in the petrochemical industry and supercritical technology. Experimental measurements and theoretical calculations are the primary methods for determining the critical parameters of mixtures. However, existing empirical correlations to quickly predict the critical temperatures and pressures of mixtures are limited by critical volume data for pure substances. In this work, improved methods of Li method and Kreglewski–Li (KL) method are proposed. Improved methods do not require critical volume data for pure substances, but replace it with acentric factors, normal boiling points, or critical temperatures of pure substances that are easier to obtain and more accurate. About 9,000 critical temperature and critical pressure data points for binary and ternary mixtures were collected to compare and evaluate the Li method, KL method, and improved methods. Notably, the improved methods are only applicable to the class I and II mixtures according to the classification of Van Konynenburg and Scott. Overall, compared with the original method, both Improvement 3 (critical volumes for pure substances of Li method and KL method are replaced with critical temperatures of pure substances) and Improvement 4 (critical volumes for pure substances of Li method and KL method are replaced with normal boiling points of pure substances) greatly improve the accuracy. Meanwhile, when predicting critical temperatures and critical pressures, Improvement 3 not only reduces the input thermophysical property parameters but also improves the prediction accuracy. Among the improved methods, Improvement 4 shows the highest prediction accuracy. The average absolute relative deviation (AARD) and average absolute deviation (AAD) of Improvement 4 for predicting the critical temperatures of binary and ternary mixtures are 1.88%, 7.83 K, 1.60%, and 7.63 K, respectively. The AARD and AAD for predicting the critical temperature of the binary mixtures composed of two pure substances with both acentric factors greater than 0.0955 by Improvement 4 are 1.56% and 7.33 K. The AARD and AAD of Improvement 4 for predicting the critical pressures of binary and ternary mixtures are 4.34%, 0.30 MPa, 3.70%, and 0.19 MPa, respectively. The optimal model selection depends on the specific mixture type under consideration when using improved methods specifically.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}