Journal of Heat Transfer-transactions of The Asme最新文献

{"title":"Thermal Instability in Nanoliquid Under Four Types of Magnetic-Field Modulation Within Hele-Shaw Cell","authors":"S. Rai, B. Bhadauria, Anish Kumar, B. Singh","doi":"10.1115/1.4056664","DOIUrl":"https://doi.org/10.1115/1.4056664","url":null,"abstract":"\u0000 The influence of trigonometric cosine, square, sawtooth, and triangular wave types of magnetic-field modulation in nanoliquid within Hele-Shaw cell is studied in this paper utilizing linear/nonlinear explorations. The solvability condition to the third-order solution of the referred model equation has been imposed to get the cubic Ginzburg–Landau equation (GBL-equation) which is utilized to measure the rate of heat (or mass) transfer. In the sequel, the influence of the nondimensional parameters is discussed graphically in detail. It is demonstrated that Prandtl number (Pr)/magnetic Prandtl number (Prm)/Lewis-number (Le)/redefined diffusivity-ratio (NA)/concentration Rayleigh-number (RS1) and magnitude of the magnetic-modulation (δ) destabilize the system, that is, the heat/mass transfer increases. On the other hand, nanoliquid magnetic-number (Q), Hele–Shaw number (Hs), and modulating-frequency (ω) stabilize the system. The outcomes demonstrate that the magnetic-field modulation can be imposed significantly to increase or decrease the heat/mass transfer.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"55 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72428226","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":"Special Issue: Ivan Catton Memorial Issue — Innovations and Advancements in Heat & Mass Transfer: Part I","authors":"Yogesh Jaluria, Yogendra Joshi, Antonio Barletta, Vijay K. Dhir","doi":"10.1115/1.4056684","DOIUrl":"https://doi.org/10.1115/1.4056684","url":null,"abstract":"This Special Issue honors and celebrates the career of Professor Ivan Catton, an internationally acclaimed expert in the field of thermal science and engineering and Distinguished Professor Emeritus of Engineering at the University of California, Los Angeles. He was active in research for over five decades and worked in many different areas. The originality, analytical treatment and physical reasoning presented in his papers were impressive. He contributed extensively to natural convection, instability, porous media transport, nuclear reactor thermal-hydraulics and safety, materials processing, and aerospace heat transfer, among others. In each of these areas, he made important innovative fundamental contributions. His work spans a wide range of problems, from basic to applied, and, consequently, his papers are widely cited around the world. Some of his papers, such as his keynote paper Natural Convection in Enclosures at the 1978 International Heat Transfer Conference and the paper Wavenumber Selection in the 1988 Journal of Heat Transfer Special Bicentennial Issue, have become classic and have been extensively cited. Similarly, his other papers, edited conference proceedings, and review articles on convection in porous media, two-phase flow, natural convection, cooling of electronic devices and nuclear plant safety and design have become landmarks in these areas. He stands out as one of the dominant figures in the field, with a long list of outstanding successful graduate students who have made their mark in academia and industry. His work has influenced researchers in many areas in thermal sciences and has thus provided outstanding leadership to generations of researchers, educators, and engineers in heat transfer.Professor Catton was a member of the Advisory Committee on Reactor Safeguards (ACRS) of the U.S. Nuclear Regulatory Commission (NRC), the top advisory committee in the field. After the NRC, Prof. Catton turned his attention to aerospace engineering's leading-edge cooling problems as well as research on the impact of laser weapons on space power cooling systems. Later, he ventured into the area of information processing using neural nets. His foundational work formed the basis for optimization of heat sinks and heat exchangers. He served as an associate editor of the Journal of Heat Transfer and as a member of other editorial boards. He also served as a member and as chair of various committees in the ASME Heat Transfer Division and in the American Nuclear Society. Prof. Catton was the recipient of numerous awards, including the ASME Heat Transfer Memorial Award and the Max Jakob Memorial Award, considered to be the highest international honor in the field of heat transfer.The papers in this special issue are presented in 2 volumes, containing 33 papers. About half of these papers were invited from former students, colleagues, and friends of Professor Catton, as well as from leading experts in areas of interest to him. The remaining p","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136371398","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":"Challenges and Innovations of Lithium-Ion Battery Thermal Management Under Extreme Conditions: a Review","authors":"Siyi Liu, Guangsheng Zhang, Chaoyang Wang","doi":"10.1115/1.4056823","DOIUrl":"https://doi.org/10.1115/1.4056823","url":null,"abstract":"\u0000 Thermal management is critical for safety, performance and durability of lithium-ion batteries that are ubiquitous in consumer electronics, electric vehicles (EVs), aerospace, and grid-scale energy storage. Towards mass adoption of EVs globally, lithium-ion batteries are increasingly used under extreme conditions including low temperatures, high temperatures and fast charging. Furthermore, EV fires caused by battery thermal runaway have become a major hurdle. These extreme conditions pose great challenges for thermal management and require unconventional strategies. The interactions between thermal, electrochemical, materials and structural characteristics of batteries further complicate the challenges, but also enable opportunities for developing innovative strategies. In this review, the challenges for thermal management under extreme conditions are analyzed. Then the progress is highlighted in two directions. One is improving battery thermal management systems based on the principles of heat transfer, which are generally external to Li-ion cells. The other is designing novel battery structures, which are generally internal of Li-ion cells such as smart batteries with embedded sensors and actuators. The latter approach could greatly simplify or even eliminate the need for battery thermal management under extreme conditions. New research integrating these two approaches is recommended.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80242726","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":"A Novel Ladder-Shaped Bridge Finned Tube for Convective Heat Transfer Enhancement","authors":"Z. Wan, Yujie Yang, Xiaowu Wang, S. Tao, Han-cheng Chen","doi":"10.1115/1.4056820","DOIUrl":"https://doi.org/10.1115/1.4056820","url":null,"abstract":"\u0000 In order to improve the convective heat transfer efficiency of a shell-and-tube heat exchanger, a novel ladder-shaped bridge finned tube (LBFT) is presented. The LBFT possesses outer low helical integral fins, two layers of staggered transverse bridge, upper passage, middle passage and bottom passage. The convective heat transfer performance of the LBFT is studied and experimental results show that the Nusselt numbers outside the tube and the overall heat transfer coefficients of the LBFT are significantly greater than those of the smooth tube. The bridges, bridge roots and pores formed on the outer fins contribute to the larger heat transfer coefficient. Both the Nusselt number and the overall heat transfer coefficient decrease, while the friction resistance coefficient increases with outer helical fin pitch increasing and bridge width increasing. As the Reynolds number increases, the comprehensive performance evaluation criterion (PEC) decreases at first and then increases. The maximum PEC occurs at the Re number of 2300 and is up to 1.34.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80628572","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":"Microfluidic Transport in Ternary Liquid Layers Due to Sinusoidal Thermocapillary Actuation","authors":"Shubham Agrawal, Prasanta K Das, Purbarun Dhar","doi":"10.1115/1.4056822","DOIUrl":"https://doi.org/10.1115/1.4056822","url":null,"abstract":"\u0000 The large-scale applicability of the micro and nano-fluidic devices demand continuous technological advancements in the transport mechanisms, especially to promptly mix the analytes and reagents at such a small scale. To this end, thermo-capillarity induced Marangoni hydrodynamics of three-layered, immiscible fluid streams in a microchannel is analytically explored. The system is exposed to periodic and sinusoidal thermal stimuli, and a theoretical framework is presented. The diffusion of the periodic thermal stimuli across and along the fluidic interfaces creates axial surface tension gradients, which induces vortical motion of the participating fluids within the micro-conduit. We show that depending on the physical parameters of the three participating fluids, such vortex patterns may be fine-tuned and controlled to obtain desired transport behaviour. An analytical solution for the thermal and the hydrodynamic transport phenomena is obtained by solving the momentum and energy conservation equations under the umbrella of creeping flow characteristics (very low Reynolds and thermal Marangoni numbers), and nearly un-deformed fluid interfaces (negligibly small Capillary number). The approximate profiles of the deformed interfaces are also quantified theoretically to justify the assumption of flat and undeformed interfaces. The independent influence of crucial thermophysical properties, the microchannel system parameters, and features of the applied thermal stimuli are showed in detail for a fixed combination of other parameters.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91119892","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":"Critical Heat Flux Condition and Post-CHF Heat Transfer of Carbon Dioxide at High Reduced Pressures in a Microchannel","authors":"A. Parahovnik, Esther D. White, Y. Peles","doi":"10.1115/1.4056821","DOIUrl":"https://doi.org/10.1115/1.4056821","url":null,"abstract":"\u0000 Flow boiling heat transfer around the critical heat flux (CHF) condition at high reduced pressures of carbon dioxide in a 296-μm hydraulic diameter microchannel was experimentally studied. The CHF conditions for developing flow and fully developed flow were measured and compared to established correlations. The post-CHF heat transfer coefficient was obtained for l/d of 3.2, 7.4, and 11.6 for inlet Reynolds numbers, based on the homogeneous two-phase flow model, ranging from 6,622 to 32,248. The critical heat flux condition seemed to peak around a reduced pressure of about 0.5 and gradually decreased with reduced pressure. However, the typical rapid increase in the surface temperature following the CHF condition decreased with increasing pressure, and the post-CHF heat transfer coefficient was appreciably high (up to about 50 kW/m2K) at high reduced pressures. The enhancement in the heat transfer coefficient and CHF condition near the inlet were quantified. The experimental results were compared to established CHF correlations and heat transfer coefficient correlations with some limited success. Thus, the Katto CHF correlation [24] and the Bishop correlation [25] for post-CHF heat transfer coefficient were adjusted to better predict the experimental results. Additionally, an enhancement factor was derived to predict the increase in the heat transfer coefficient in the developing region.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88987881","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":"Flow and Convective Exchanges Study in Rotor-Stator System With Eccentric Impinging Jet","authors":"Chadia Haidar, Abdellatif el Hannaoui, R. Boutarfa, S. Harmand","doi":"10.1115/1.4056689","DOIUrl":"https://doi.org/10.1115/1.4056689","url":null,"abstract":"\u0000 This paper investigates numerically and experimentally the flow structure and convective heat transfers in an unconfined air gap of a discoid technology rotor–stator system. The cavity between the interdisk is defined by dimensionless spacing varying between G = 0.02 (Haidar et al., 2020, “Numerical and Experimental Study of Flow and Convective Heat Transfer on a Rotor of a Discoidal Machine With Eccentric Impinging Jet,” J. Therm. Sci. Eng. Appl., 12(2), 021012) and G = 0.16. For experimental data, an infrared thermography is applied to obtain a measurement of the rotor surface temperatures and a steady-state energy equation is solved to evaluate the local convective coefficients. A numerical study is performed with a computational code ansys-fluent and based to apply two different turbulence models named the Reynolds stress model (RSM) and k–ε renormalization group (RNG). The results of the numerical simulation are compared with experimental results on heat transfer for the rotational Reynolds number ranging from 2.38×105 to 5.44×105, the jet Reynolds numbers varying from 16.6×103 to 49.6×103, and for dimensionless spacing G between 0.04 and 0.16. Three heat transfer zones on the rotating disk surface are identified. A good accord between a numerical result and experimental data was obtained. Finally, a correlation relating the Nusselt number to the rotational Reynolds number, jet Reynolds number, and dimensionless spacing varying from 0.02 to 0.16 is proposed.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86386608","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":"Flow Boiling in Flexible Polymer Microgaps for Embedded Cooling in High-Power Applications","authors":"D. Lorenzini, Wenming Li, Y. Joshi","doi":"10.1115/1.4056594","DOIUrl":"https://doi.org/10.1115/1.4056594","url":null,"abstract":"\u0000 Structural flexibility has become a common feature in emerging microsystems with increasing heat fluxes. The thermal control of such applications is a significant challenge because of both structural and volumetric requirements, where standard cooling solutions are not applicable. Flexible polymer microlayers are a promising solution for the embedded cooling of such microsystems. In the present investigation, a flexible polydimethylsiloxane (PDMS) microgap is proposed and assessed in an effort to prove its viability for thermal management in the aforementioned applications. The analyzed polymer microgap features a dedicated vapor pathway design which is proven to assist in the efficient removal of vapor from the microsystem. The dielectric refrigerant HFE-7100 is used as the working fluid under flow boiling conditions, reporting on the two-phase flow regime, heat transfer, and pressure drop. In addition to experimental results, the numerical modeling of the relevant features of flow boiling is explored with the use of a mechanistic phase-change model that is proven to accurately predict the flow variables and constitutes a valuable tool in the analysis and design of such microsystems. The results from this study demonstrate that this approach is feasible for the removal of relatively high heat fluxes which are comparable to metallic-based or silicon microchannels, with the added advantage of structural flexibility while also providing a stable two-phase cooling mechanism.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75263178","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":"Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage","authors":"N. Mallya, P. Baqué, Pierre Yvernay, Andrea Pozzetti, P. Fua, S. Haussener","doi":"10.1115/1.4056663","DOIUrl":"https://doi.org/10.1115/1.4056663","url":null,"abstract":"\u0000 High-temperature latent heat thermal energy storage with metallic alloy phase change materials (PCMs) utilize the high latent heat and high thermal conductivity to gain a competitive edge over existing sensible and latent storage technologies. Novel macroporous latent heat storage units can be used to enhance the limiting convective heat transfer between the heat transfer fluid and the PCM to attain higher power density while maintaining high energy density. 3D monolithic percolating macroporous latent heat storage unit cells with random and ordered substructure topology were created using synthetic tomography data. Full 3D thermal computational fluid dynamics (CFD) simulations with phase change modeling was performed on 1000+ such structures using effective heat capacity method and temperature- and phase-dependent thermophysical properties. Design parameters, including transient thermal and flow characteristics, phase change time and pressure drop, were extracted as output scalars from the simulated charging process. As such structures cannot be parametrized meaningfully, a mesh-based Geodesic Convolutional Neural Network (GCNN) designed to perform direct convolutions on the surface and volume meshes of the macroporous structures was trained to predict the output scalars along with pressure, temperature, velocity distributions in the volume, and surface distributions of heat flux and shear stress. An Artificial Neural Network (ANN) using macroscopic properties—porosity, surface area, and two-point surface-void correlation functions—of the structures as inputs was used as a standard regressor for comparison. The GCNN exhibited high prediction accuracy of the scalars, outperforming the ANN and linear/exponential fits, owing to the disentangling property of GCNNs where predictions were improved by the introduction of correlated surface and volume fields. The trained GCNN behaves as a coupled CFD-heat transfer emulator predicting the volumetric distribution of temperature, pressure, velocity fields, and heat flux and shear stress distributions at the PCM–HTF interface. This deep learning based methodology offers a unique, generalized, and computationally competitive way to quickly predict phase change behavior of high power density macroporous structures in a few seconds and has the potential to optimize the percolating macroporous unit cells to application specific requirements.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"101 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73848932","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":"Tree-based Ensemble Learning Models for Wall Temperature Predictions in Post-CHF Flow Regimes at Subcooled and Low-quality Conditions","authors":"Qingqing Liu, Yang Liu, A. Burak, J. Kelly, S. Bajorek, Xiaodong Sun","doi":"10.1115/1.4056763","DOIUrl":"https://doi.org/10.1115/1.4056763","url":null,"abstract":"\u0000 Accurately predicting post-critical heat flux (CHF) heat transfer is an important but challenging task in water-cooled reactor design and safety analysis. Numerous post-CHF heat transfer correlations have been developed in the literature but are only applicable to relatively narrow ranges of flow conditions. In this paper, a large number of experimental data are collected and summarized from the literature for steady-state subcooled and low-quality film boiling regimes with water as the working fluid in tubular test sections. A Low-quality Water Film Boiling (LWFB) database is consolidated with a total of 22,813 experimental data points, which cover a wide flow range of the system pressure from 0.1 to 9.0 MPa, mass flux from 25 to 2,750 kg/m2-s, and inlet subcooling from 1 to 70 °C. Two machine learning (ML) models, based on random forest (RF) and gradient boosted decision tree (GBDT), are trained and validated to predict wall temperatures in post-CHF flow regimes. The trained ML models demonstrate significantly improved accuracies compared to conventional empirical correlations. To further evaluate the performance of these two ML models from a statistical perspective, three criteria are investigated, and three metrics are calculated to quantitatively assess the accuracy of these two ML models. For the full LWFB database, the RMSEs between the measured and predicted wall temperatures by the GBDT and RF models are 5.7% and 6.2%, respectively, confirming the accuracy of the two ML models.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"8 2 Suppl 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79980447","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}