International Journal of Thermophysics最新文献

{"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}

{"title":"Thermal and Optical Characteristics of TiO2@SiO2, Fe3O4@SiO2, and ZnO@SiO2 Core–Shell Nanoparticles and Their Water-Based Nanofluids","authors":"Sezgi Koçak Soylu,&nbsp;Osman Samet Özdemir,&nbsp;Meltem Asiltürk,&nbsp;İbrahim Atmaca","doi":"10.1007/s10765-025-03558-w","DOIUrl":"10.1007/s10765-025-03558-w","url":null,"abstract":"<div><p>This study investigates the thermophysical and optical properties of core–shell nanoparticles composed of SiO₂-coated TiO₂, Fe₃O₄, and ZnO, along with their water-based nanofluids at a 2 % mass concentration. The nanoparticles were synthesized, characterized, and analyzed using various techniques. The results indicate total mass losses of 11.0 %, 9.5 %, and 26.5 % for TiO₂@SiO₂, Fe₃O₄@SiO₂, and ZnO@SiO₂, respectively. Among these, the nanofluid containing ZnO@SiO₂ nanoparticles displayed superior stability and demonstrated the most significant increase in thermal conductivity at 2.51 %. Furthermore, it was observed that all nanofluids exhibited lower specific heat capacity compared to the base fluid. Notably, the TiO₂@SiO₂-based nanofluid experienced the most substantial decrease at 3.5 %. Additionally, the viscosity values of the nanofluids exceeded those of the nanofluids with single particles. The core–shell nanoparticles exhibited extensive light absorption across a broad spectrum, with calculated optical band gap energies of 2.88 eV, 3.65 eV, and 3.25 eV for Fe₃O₄@SiO₂, TiO₂@SiO₂, and ZnO@SiO₂, respectively. These findings highlight the effectiveness of utilizing nanofluids containing core–shell-structured nanoparticles for efficient heat transfer.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03558-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871373","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":"Effects of pH and Nanoparticle Concentration on Al2O3–H2O Nanofluid Stability","authors":"Khalad A. AlMuhaysh,&nbsp;Antonis Sergis,&nbsp;Yannis Hardalupas","doi":"10.1007/s10765-025-03557-x","DOIUrl":"10.1007/s10765-025-03557-x","url":null,"abstract":"<div><p>Nanofluid stability is crucial for their long-term effectiveness in heat transfer applications. The current study evaluates parametrically the impact of several preparation methods, pH levels, and volumetric concentrations on the stability of Al₂O₃–H₂O nanofluids as opposed to the most common approach of additive surfactants. Characterization techniques, including scanning electron microscopy (SEM), optical sedimentation imaging, transmission electron microscopy (TEM), zeta potential measurements, and dynamic light scattering (DLS), were employed to quantify the short- and long-term stability of the resulting nanofluids based on nanoparticle morphology, agglomeration state, and electrostatic stabilization potential without the use of surfactants. This unique parametric study applies a wide array of characterization techniques on the same created samples for the first time to provide new insights of the colloid stability processes at play. In addition, the study uniquely assesses long-term (up to two months) surfactant-free electrostatic stabilization, offering a sustainable approach to nanofluid stability. The findings contribute to the development of universal nanofluid preparation guidelines, supporting their commercial scalability across diverse applications. The new insights indicated that an optimal pH level, around 4, significantly enhances the stability of Al₂O₃-H₂O nanofluids by maximizing the electrostatic repulsion between the suspended nanoparticles. Additionally, lower nanoparticle concentrations were found to improve stability, likely due to reduced particle interactions and aggregation. The study also highlights the importance of preparation methods in achieving stable nanofluids, as different methods can influence the dispersion and stability of the suspended nanoparticles. These results underscore the critical role of pH control, nanoparticle concentration, and preparation methods in achieving stable nanofluids. This study also provides a framework for long-term, surfactant-free nanofluid characterization using multiple techniques applied to the same samples, supporting reproducibility and future thermophysical analysis.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03557-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871438","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":"Thermal Analysis of Casson-Based Hybrid Nanofluid Flow on a Permeable Stretching Surface with Heat Source and Sink: A New Stochastic Approach","authors":"K. M. Nihaal,&nbsp;U. S. Mahabaleshwar,&nbsp;D. Laroze,&nbsp;J. Wang","doi":"10.1007/s10765-025-03546-0","DOIUrl":"10.1007/s10765-025-03546-0","url":null,"abstract":"<div><p>Hybrid Casson nanoparticles are quite interesting to researchers due to their enhanced thermal and rheological properties. The use of artificial neural networks to describe and forecast thermal behaviors can dramatically improve the understanding of heat transfer across nanofluid models. With this motivation, this research aims to examine the heat transfer across a hybrid Casson nanofluid on a permeable stretching porous surface utilizing Runge Kutta Fehlberg’s 45th method and artificial neural networks (ANN). The governing partial differential equations are also reduced to ordinary differential equations using similarity transformations and solved numerically via Runge Kutta Fehlberg’s 45th method. The impact of various parameters over respective velocity and temperature profiles is analyzed and displayed graphically. The increase in the Casson parameter and porosity parameter slows down the fluid velocity, whereas elevated heat transfer is observed for augmented values of heat source/sink parameter. The ANN model was validated as a most convincing model owing to its admirable exactitude throughout testing, validation, and training and was compared to numerical outcomes. The ANN’s predictions are closely matched with the observed numerical data, implying that the model has effectively learned the underlying connections in the dataset. The findings from the current study can be utilized to develop more effective biomedical devices like drug delivery systems and blood flow simulations in artificial organs.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143840410","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":"Solid–Liquid Equilibrium of Acrylic Acid, Water, and Acetic Acid Ternary System for Separation Process Design","authors":"Tae Hyun Kim,&nbsp;Yeon Ock Jang,&nbsp;Seon Hwa Baek,&nbsp;Si Yeon Jung,&nbsp;Sung Jin Yoo,&nbsp;Sung Kyu Lee,&nbsp;Jeong Won Kang","doi":"10.1007/s10765-025-03549-x","DOIUrl":"10.1007/s10765-025-03549-x","url":null,"abstract":"<div><p>Achieving ultra-high purity in crystallization processes requires precise thermodynamic data, particularly for multicomponent systems. It is common practice to use interaction parameters derived from binary systems; however, this method often falls short in accurately predicting phase behavior in more complex mixtures. This study examines the ternary mixture of acrylic acid, water, and acetic acid as a representative case. We conducted experimental solid–liquid equilibrium (SLE) measurements using the synthetic method, resulting in a dataset that enabled us to optimize the interaction parameters for thermodynamic models. We then compared predictions based on three sets of parameters: (i) those fitted to combined binary and ternary SLE data, (ii) those based exclusively on binary SLE data, and (iii) those derived from binary vapor–liquid equilibrium (VLE) data. Our findings indicate that incorporating ternary SLE data enhances the accuracy of model predictions, as evidenced by reduced deviations in both phase equilibrium calculations and mass balance outcomes. Moreover, a solute-specific regression strategy, which separates parameters depending on the composition range, significantly improves the accuracy of the calculation results. The strategy suggested in this study can be used to produce ultra-high purity products using the crystallization process.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809216","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":"Impact of Wood Bio-aggregate Content on the Thermo-physical and Mechanical Properties of Bio-based Cementitious Composites","authors":"Amanda Lorena Dantas de Aguiar,&nbsp;Antonio Caggiano,&nbsp;Romildo Dias Toledo Filho","doi":"10.1007/s10765-025-03547-z","DOIUrl":"10.1007/s10765-025-03547-z","url":null,"abstract":"<div><p>Wood bio-based cementitious composite (WBBC) is a promising and eco-friendly construction material which can offer enhanced thermal insulation and reduced environmental impact. This study investigates the influence of wood bio-aggregate content on the thermo-physical and mechanical properties of WBBC. The mixtures were prepared using varying wood shaving contents (i.e., 40 %, 50 %, and 60 % by volume) and a cementitious matrix comprised of a cement-fly ash-metakaolin blend. Thermal conductivity, bulk density, and scanning electron microscopy (SEM) tests were performed on samples at 28 days of age. In addition, uniaxial compressive strength tests were performed to characterize the composites mechanically. Results indicate that thermal conductivity decreased with increasing biomass content. Specifically, WBBC60 exhibited a thermal conductivity value approximately 40 % lower (0.29 W/m × K) than WBBC40 (0.51 W/m × K). The bio-aggregate content significantly influences the mechanical behavior of the composites, leading to a noticeable reduction in compressive strength values, ranging from 8.18 MPa for WBBC40 to 0.53 MPa for WBBC60. SEM analysis revealed the detailed porosity of wood aggregates and the cementitious matrix, along with the interfacial interactions between them. These findings demonstrate the potential of WBBC as an effective thermal insulator, particularly those with higher bio-aggregate content.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809272","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":"Equation of State for the Thermodynamic Properties of Trans-1,2-dichloroethene [R-1130(E)]","authors":"Marcia L. Huber,&nbsp;Andrei F. Kazakov,&nbsp;Eric W. Lemmon","doi":"10.1007/s10765-025-03535-3","DOIUrl":"10.1007/s10765-025-03535-3","url":null,"abstract":"<div><p>We present an empirical equation of state in terms of the Helmholtz energy for <i>trans</i>-1,2-dichloroethene [R-1130(E)]. The range of validity is from the triple-point temperature, 223.31 K to 525 K with pressures up to 30 MPa. It may be used to calculate all thermodynamic properties in the fluid phase, including liquid, gas, and supercritical regions. Comparisons are given with existing literature data and estimated uncertainties are provided. In addition, checks were made for correct extrapolation behavior so that the equation behaves in a physically realistic manner when used outside of its range of validity, enabling its use in mixture models. The estimated uncertainties (at a <i>k</i> = 2 or 95 % level of confidence) are based on comparisons with critically assessed data and are 0.25 % for vapor pressure for temperatures in the range 300 K &lt; <i>T</i> &lt; 454 K, rising to 1.5 % as the temperature decreases from 300 K to 265 K. For density in the liquid phase the estimated uncertainty is 0.14 % for temperatures 270 K &lt; <i>T</i> &lt; 410 K and for pressures up to 30 MPa. For the vapor phase the estimated uncertainty in density is 3 %. The uncertainty for liquid-phase heat capacity is 1 % at atmospheric pressure over the temperature range 268 K &lt; <i>T</i> &lt; 309 K, and the uncertainty for the speed of sound in the liquid phase is 0.25 % for temperatures 230 K &lt; <i>T</i> &lt; 420 K and for pressures up to 30 MPa. The uncertainties are larger outside of these specified ranges and in the critical region.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03535-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716816","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":"Effect of Surface Treatment on the Thermal Properties of Magnesium–Rare Earth Alloys","authors":"Yu-Peng Hu,&nbsp;Xu Zhou,&nbsp;Gen Zhu,&nbsp;Yi-Jun Wang,&nbsp;Jun-Hong Chen,&nbsp;Ren-Wei Ge,&nbsp;Sheng-Lai Chen,&nbsp;Gang Zhang,&nbsp;Ming-Hai Li","doi":"10.1007/s10765-025-03545-1","DOIUrl":"10.1007/s10765-025-03545-1","url":null,"abstract":"<div><p>To enhance the mechanical properties, ignition resistance, corrosion resistance, and oxidation resistance of magnesium, elements such as lithium, manganese, zinc, and rare earth elements are added into magnesium, and the surface treatments are also applied. The addition of elements and surface treatments will affect the thermal properties of magnesium alloys. However, less attention has been paid on this field, which limits the accurate prediction of temperature and thermal stress distribution in engineering applications. In this study, for the comparison between magnesium–rare earth alloys treated with micro-arc oxidation and chemical oxidation, the thermal conductivity, specific heat capacity, and thermal expansion coefficient were measured from room temperature to 500 °C, respectively. Additionally, the phase transition temperature, ignition temperature, and combustion heat were also determined. The variations of various thermal properties with temperature were obtained, and the results showed that the maximum deviations in thermal conductivity, phase transition temperature, specific heat capacity, and thermal expansion coefficient between the magnesium–rare earth alloys treated with micro-arc oxidation and chemical oxidation were 9 %, 0.04 %, 16.21 %, and 2.53 %, respectively. Both the micro-arc oxidation and chemical oxidation surface treatment could improve the ignition temperature of the magnesium–rare earth alloys at least 49 °C. The results of this study demonstrate that surface treatments effectively enhance the ignition resistance of magnesium alloys, but the effect on other thermal properties varies. In addition, accurate thermal property measurements play a crucial role in optimizing the thermal design of components made from magnesium alloys.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716821","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":"Analyzing Intermolecular Interactions in 5-Methyl Furfural and 1-Alkanol (C4-C7) Mixtures: Thermodynamic and Transport Investigations","authors":"Mohammad Almasi,&nbsp;Ariel Hernández","doi":"10.1007/s10765-025-03544-2","DOIUrl":"10.1007/s10765-025-03544-2","url":null,"abstract":"<div><p>This manuscript presents experimental data on the density and viscosity of mixtures of 5-methyl furfural with 1-alkanols (ranging from 1-butanol to 1-heptanol) at a pressure of 0.1 MPa and temperatures between 293.15 K and 323.15 K. The Redlich–Kister model effectively described the experimental results for derived properties (excess molar volume and viscosity deviation). The PC-SAFT equation of state accurately represented the experimental density data using both predictive and fitted approaches, and with the fitted approach yielding the best results for excess molar volume.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688382","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":"Compressed Liquid (({{p}})-({{rho}})-({{T}})) Measurements of trans-1,2-Dichloroethene [R-1130(E)]","authors":"Tara J. Fortin,&nbsp;Stephanie L. Outcalt","doi":"10.1007/s10765-025-03526-4","DOIUrl":"10.1007/s10765-025-03526-4","url":null,"abstract":"<div><p>Pressure-density-temperature (<span>(p)</span>-<span>(rho)</span>-<span>(T)</span>) data for the refrigerant R-1130(E) (<i>trans</i>-1,2-dichloroethene) were measured in the compressed liquid phase using an automated vibrating-tube densimeter. Overall, the measurements covered temperatures from 270 K to 410 K and pressures from 0.5 MPa to 30 MPa. Relative combined, expanded (95% confidence level) uncertainties ranged from approximately 0.05% to 0.06%. Here, we present measurement results, along with comparisons to available literature data and to a generalized extended corresponding states model.</p></div>","PeriodicalId":598,"journal":{"name":"International Journal of Thermophysics","volume":"46 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10765-025-03526-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676327","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}