Moderator


Prof. Aleksandr Pavlenko, Kutateladze Institute of Thermophysics, Russian Academy of Sciences, Novosibirsk, Russia.

 

Panelists


Prof. Pei-Xue Jiang, Department of Energy and Power Engineering, Tsinghua University, Beijing, China.


Prof. Elaine Maria Cardoso, Department of Aeronautical Engineering, UNESP- São Paulo State University, Brazil.


Prof. Hyungdae Kim, Department of Nuclear Engineering, Kyung Hee University, Yongin, South Korea.


Prof. Yoonjin Won, Mechanical and Aerospace Engineering University of California, Irvine, USA.

 

Abstract

High-intensity heat transfer regimes at boiling and evaporation are essential for a number of modern technologies that require the removal of high heat flux densities at relatively low superheats. Within the framework of this Panel Session, a comprehensive analysis of the current state of development of methods for enhancing heat transfer and controlling extreme heat transfer processes at boiling and evaporation in various hydrodynamic conditions is planned. The session will discuss the ways, tendencies and critical aspects of the effective future use of boiling and evaporation regimes in power engineering, micro- and power electronics, the chemical industry, cryogenic technology and metallurgy. Prospective and problematic issues regarding the development of methods for cooling modern electronics with high and ultrahigh heat fluxes will also be discussed.
The specifics of developing methods to increase the critical heat flux while simultaneously increasing the heat transfer coefficient at bubble boiling will be considered. The prospects for using artificial intelligence (AI) methods in the design of advanced engineered surfaces to intensify heat transfer during boiling and evaporation in relation to the development of modern heat and mass transfer equipment and heat-stressed cooling systems will be analyzed. Attention will also be focused on new requests from thermal physicists for materials science technologies for constructing specified structures on a heat transfer surface for the effective control of two-phase flows and interfacial heat transport processes on the micro-nanoscale.
In the first part, each invited scientist will give a brief talk on a specific topic based on his research area which will present the current status of our research, existing achievements, problems and challenges and future outlooks. The second part will be a discussion among invited experts on the above hot topics. The third part is open discussion between the invited speakers and the audience. We hope that all interested specialists in this Panel Session will actively participate in debate, and forward-looking discussions are strongly encouraged. We hope that the successful work of this panel will inspire new ideas, approaches, and lead to new promising innovations for all researchers in the field.

Moderator


Dominic Groulx, Dalhoise University, Canada,

 

Panelists

Soon

 

Abstract

The amount of scientific and technical published work has been increasing at an exponential rate in the past decade, to the point where some are calling for large changes in the peer-review and publication process to alleviate the pressure on the entire system, from overworked editors, and the availability and quality of reviews, to the risk of “paper mills” that are uncovered every so often and changes that AI could bring to the writing and publication model.  As a community, one might state that too many papers are submitted and not enough reviewers are available, which can quickly erode the long-standing quality control that peer-review has been offering.

So, as the community of heat transfer researchers, can actions be taken to help reduce pressure on the system?  Would a better uniform understanding of standards and publication expectations help?  Should training in the critical review of publications be part of graduate teaching?  What else could be done?  Those questions, and many more, will be discussed by a panel of current and past journal editors and associate editors, along with all attendant to the panel, in hopes of moving the needle towards a more sustainable approach to publication.

Moderators


Jean-Luc Battaglia, Université de Bordeaux


Denis Maillet, Université de Lorraine


Julien Berger, Université de La Rochelle

 

Panelists

Soon

 

Abstract

Processing large quantities of data, identifying or reducing physical models, or solving inverse problems are areas of application that numerous researchers in direct or inverse heat transfer have been addressing for over 30 years. More recently artificial intelligence has become a prevalent subject, with numerous applications developed in society and in various sciences. For a few years, one of its branches, Machine Learning, is the subject of a large quantity of papers, particularly in the heat transfer community. It is primarily based on developing models, with different structures (or architectures), that can be calibrated (trained) in various ways. However, distinguishing what is genuinely new and interesting in Deep Learning from what scientists have been using for a long time is not easy, because of the use of a terminology that differs from the one previously used. For example, the Inverse Heat Conduction Problem can be considered as based on a direct problem whose structure is an Artificial Neural Network belonging to the Shallow Learning category, that is with 3 layers (input, hidden and output) here. The objective of the pannel, based on several flash oral presentations selected from the papers presented elsewhere in the conference, is to try to define the interests/lack of interests (pro and con) of recent deep learning techniques for solving inverse problems (parameter or function estimtion) in heat transfer.

Moderator


Ludger J. Fischer, HSLU, Lucerne, Switzerland


Panelists


Dominic GrouIx – Dalhoise University, Canada


Ken Craig, University of Pretoria, South Africa


Mina Shahi, University of Twente, Netherlands

Yuwen Zhang, University of Missouri


Yulong Ding, Brimingham, UK


Hanna Lösch, DLR, Germany

Abstract

Thermal energy storage (TES) is becoming increasingly important for the integration of renewables into heating and cooling systems. For heating, TES enables peak shaving and load shifting, including seasonal storage aspects; for cooling, both daily (day–night) and seasonal shifts are essential. Regional demands vary significantly, with some contexts prioritizing cooling and others heating. Alongside established approaches such as soil, water, and geothermal storage, phase change materials (PCMs) play a crucial role. Their complex melting and freezing behavior requires advanced CFD modelling, especially as many PCMs show supercooling and segregation. A deeper understanding of these phenomena and improved modelling strategies are central to current research and will be addressed in this panel discussion.

Abstract

The renewed global momentum in space and planetary exploration brings a host of fresh challenges in heat transfer. Managing heat is crucial—not only for the thermal control of electronics, antennas, and other onboard systems, but also for designing HVAC solutions for planetary habitats and supporting everyday activities such as cooking.
In reduced or zero gravity, many of the familiar heat-transfer mechanisms we rely on—natural convection and pool boiling among them—lose their effectiveness because they depend on buoyancy. As a result, solutions that work seamlessly on Earth require substantial rethinking for space applications. Thermal energy storage offers one promising route, helping to smooth peak demand and limit the power requirements of thermal management systems. But meeting these challenges efficiently will require new ideas, innovative strategies, and entirely new device concepts.
Reduced-gravity environments also offer a unique scientific opportunity: they allow us to observe physical mechanisms that are otherwise masked by gravity, opening the door to insights that may ultimately benefit terrestrial technologies as well.
These opportunities—spanning fundamental research, improved modeling and design tools, and the exploration of novel engineering concepts—will be the focus of this panel discussion.

Moderator


Qun Chen, School of Energy Storage Science and Technology, North China University of Technology and Department of Engineering Mechanics, Tsinghua University, Beijing, China

Panelists

• Johannes Schenk, Montanuniversität Leoben, Austria

• Guangwen Zhou, State University of New York, Binghamton, United States

• Veena Sahajwalla, University of New South Wales, Sydney, Australia

• Aidong Yang, Oxford University, UK

• Geoffrey A. Brooks, Swinburne University of Technology, Australia

• Yuriy Román, Robert T. Haslam (1911) Professor of Chemical Engineering, MIT, United States

• Andrew Allman, University of Michigan, United States

• Yao Zheng, University of Adelaide, Australia

• PJ Cullen, The University of Sydney, Australia

• Laura Torrente Murciano, University of Cambridge, UK

• Richard Zare, Stanford University, United States

• Iwnetim Iwnetu Abate, MIT, United States

• Sung-Yeon Jang, UNIST, Korea

 

Abstract

Renewable energy, or green energy, is becoming the driving power of more and more industrial and civil sectors in recent years. However, two important sectors, steel and chemical engineering industry, are hard to work with renewable energy, as they require long-term steady energy input while renewable energy is intrinsically fluctuating and intermittent. Therefore, their carbon emissions are still intense and remain to be reduced. It is highly required to find an effective solution to integrate renewable energy with the two sectors, thereby promoting their low carbon transition.
Facing this challenge, we organize a panel and invite worldwide interdisciplinary leading scientists to serve as panelists. They are expected to present their precious wisdom and exchange their opinions. We also welcome all participants in this field to the panel and look forward discussions. We hope that this panel will inspire new ideas and lead to innovations for all researchers in this field.

Moderators


Prof. Sunny LI (Organizer & Moderator)
School of Engineering, University of British Columbia, Canada


Prof. Fei DUAN (Organizer & Panelist)
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

Panelists


Prof. Qiuwang Wang
School of Energy & Power Engineering, Xi’an Jiaotong University, China


Prof. Bingyang Cao
School of Aerospace Engineering, Tsinghua University, China


Prof. Yogendra Joshi
School of Mechanical Engineering, Georgia Institute of Technology, USA


Prof. Kazuyoshi Fushinobu
Department of Mechanical Engineering, Institute of Science Tokyo, Japan


Prof. Ali Kosar
Department of Mechatronics Engineering, Sabanci University, Turkey

Abstract

Worldwide, both the technology innovation and economy heavily rely on microchips. With emerging manufacturing breakthroughs, microchips are becoming more powerful and compact. Effective, feasible, and reliable cooling solutions are needed for addressing the challenges of transferring more heat through smaller areas while still maintaining the chip temperature within its safety range. Researchers are striving to advance various cooling technologies for microchips such as immersion cooling, liquid impingement cooling, spray cooling, cold-plate cooling, etc. in which micro/nano technologies have been developed for enhancing near-junction heat transfer. Microchips are the heart and major heat source of data centers (DCs), which are highly demanded for artificial intelligence training, big data mining, e-commerce, Internet of Things, and so on. The DC sector is one of the fastest growing consumers of electricity in the world. The most effective way to improve power usage effectiveness is to reduce the cooling power consumption in DCs with new DC designs and novel cooling methods.
The goal of this panel is to identify challenges, discover opportunities, and exchange views and ideas about the cooling and thermal management ranging from the chip level to the facility level in DCs. Focus will also be put on the relation and integration of the thermal management solutions at the multiple levels. The invited panelists have extensive experience but different research foci in the fields. They will briefly introduce their research findings. Most of the panel time will be dedicated to the interaction between the panelists and the audience, and the audience participation is highly encouraged and expected.

Moderators


Thomas PIERRE


Philippe LE MASSON

Abstract

Industrial process modeling using multiphysics approaches is increasingly common and leads to complex models. Data input for predictive simulations requires essential knowledge of physical properties that may be temperature-dependent. The scientific literature lists numerous physical properties for all types of materials, regardless of their nature. However, material characterization becomes more complex when they reach and exceed their melting point, i.e., in the liquid state. For liquid metals, literature is scarce at high temperatures. The problems encountered at high temperatures are numerous: chemical reactions between the sample and its support or the surrounding environment; significant non-linearizable radiative losses;
the need for specific experimental setups; and the impossibility of using intrusive sensors (thermocouples). Nevertheless, many of these problems can be circumvented through specific experiments such as levitation experiments (electromagnetic, electrostatic, and aerodynamic). Among the properties determinable by these experiments are heat capacity, density, viscosity, and surface tension, based on observable parameters such as temperature/irradiance and sample diameter. The challenge related to the complexity of the experiments is, firstly, to manage the complexity of the simulation and, secondly, to quantify the measurement uncertainties (of the observables) in light of the simulation validation. Underlying this is the question of whether to construct a simulation of the sensor’s intrusiveness in order to closely approximate the experimental simulation. Here, we propose to discuss the instruments used in thermal or mechanical stress experiments and the recording of observables (high-speed visible cameras, multispectral pyrometers), their limitations (sensitivity studies), and, above all, the quantification of uncertainties (noise, correlation matrices, etc.).