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Search Results (948)

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Keywords = natural convection

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23 pages, 1144 KB  
Article
Natural Cold Source Computing Cluster Thermal Management Coupled with PCM
by Yi Ren, Wenqian Jia, Sijie Sun, Yue Shu, Xuan Zhang, Yufeng Zhang and Bo Zhou
Buildings 2026, 16(11), 2211; https://doi.org/10.3390/buildings16112211 (registering DOI) - 30 May 2026
Abstract
As the power density of office computing clusters rises to 200–250 W per chip, the substantial heat generated during operation not only impairs chip performance and shortens lifespan but also compels heating, ventilation, and air conditioning (HVAC) systems to operate at high loads. [...] Read more.
As the power density of office computing clusters rises to 200–250 W per chip, the substantial heat generated during operation not only impairs chip performance and shortens lifespan but also compels heating, ventilation, and air conditioning (HVAC) systems to operate at high loads. This increases energy consumption by 30–40% and causes indoor temperature fluctuations that reduce office workers’ comfort. Targeting centralized thermal management for such clusters, this study proposes a hybrid cooling strategy integrating outdoor natural cold air (as a continuous heat sink) with phase change materials (PCMs, for transient heat peak absorption). Six adjustable heating plates (power range: 50–250 W per unit, simulating 7 nm office chips) mimicked heat dissipation in a six-chip cluster. Latent heat storage (LHS) units served as passive cooling, with fan coils as auxiliary for natural/forced convection. By using PCMs (melting point: 48 °C) to absorb transient peaks and coils to utilize outdoor cold air, the system maintained circulating water at approximately 60 °C (steady-state equilibrium temperature under full-load conditions) and kept chip temperatures below 80 °C (industrial safety threshold). The hybrid system reduced combined pump and fan power to 125 W, achieving 75% energy savings compared to the HVAC system (500 W) and 40% savings compared to using only natural cold air (210 W pump and fan power). Positive pressure in the outdoor unit (increasing coil air velocity by 1.2 m/s relative to natural convection) further improved heat dissipation efficiency by 15%. Finally, this study quantifies the influence of PCM thermal conductivity and filling mass on the system’s temperature control performance through numerical simulations, providing direct evidence for parameter design of LHS units. Full article
(This article belongs to the Special Issue Development of Indoor Environment Comfort)
29 pages, 2732 KB  
Article
River Surface Velocity and Discharge Estimation Using Optical Flow and Unlabeled Physics-Informed Neural Networks
by Zhongyu Shu, Yubo Gao, Guo Zhang, Zihan Xu and Jianping Wang
Sensors 2026, 26(11), 3448; https://doi.org/10.3390/s26113448 - 29 May 2026
Abstract
Quantifying river surface velocity and discharge is essential for flood control and mitigation. Traditional contact measurement methods are capable of providing precise results, yet they demand considerable manpower and material resources and face implementation challenges in flood seasons. Image velocimetry methods have attracted [...] Read more.
Quantifying river surface velocity and discharge is essential for flood control and mitigation. Traditional contact measurement methods are capable of providing precise results, yet they demand considerable manpower and material resources and face implementation challenges in flood seasons. Image velocimetry methods have attracted extensive attention due to their low cost, simplicity in operation, and safety. However, most of them lack a physical basis and interpretability. This paper introduces a river flow estimation algorithm combined with Physics-Informed Neural Networks (PINNs). The introduction of the convection–diffusion equation based on optical flow enables the model to better fit the flow characteristics of water and provides stronger physical support for the measurement results. The adoption of this equation as the loss function and the introduction of multiple scenarios eliminate the need for labeled data in the PINNs training process. The experimental results in both artificial and natural river channels demonstrate that the relative errors of the discharge measured by the proposed method are 0.66% and −1.75%, and the relative errors of the mean velocity are 0.64% and −2.33%. Compared with other methods, the proposed method exhibits superior performance. Full article
(This article belongs to the Section Physical Sensors)
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23 pages, 6629 KB  
Article
Protective Materials and Cold-Side Airflow Effects on a Thermoelectric Generator for Automotive Exhaust Energy Recovery
by George Achitei, Lamara Achitei, Aristotel Popescu, Daria Sachelarie, Lidia Gaiginschi, Teodor Anita and Elena Adelina Chiriac
Vehicles 2026, 8(5), 114; https://doi.org/10.3390/vehicles8050114 - 21 May 2026
Viewed by 231
Abstract
Waste heat recovery from automotive exhaust gases represents an important strategy for improving vehicle energy efficiency. This study experimentally investigates the performance of a thermoelectric generator (TEG) system based on TEC1-12706 modules running under different cold-side cooling conditions and incorporating a Hot Rolled [...] Read more.
Waste heat recovery from automotive exhaust gases represents an important strategy for improving vehicle energy efficiency. This study experimentally investigates the performance of a thermoelectric generator (TEG) system based on TEC1-12706 modules running under different cold-side cooling conditions and incorporating a Hot Rolled Steel (HRS) protective layer on the hot side. The HRS plate was used to ensure uniform heat distribution and protect the thermoelectric module against thermal shocks generated by a 250 °C heat source. Four cooling regimes were experimentally analyzed: natural convection and forced airflows equivalent to 40, 60, and 90 km/h. The results proved that increasing airflow intensity significantly improved the temperature difference across the module, from approximately 16 ± 2 °C under natural convection to nearly 40 ± 2 °C at the highest airflow velocity. Correspondingly, the steady-state voltage generated increased from approximately 0.25 ± 0.01 V to over 0.60 ± 0.01 V under an 82 Ω resistive load. The measured hot-side temperature remained below 75 °C in all experimental conditions, confirming the thermal protection capability of the HRS layer. The experimental data also revealed a near-linear relationship between voltage and temperature difference, consistent with the Seebeck effect. The proposed configuration shows the feasibility of combining thermal protection and forced convection cooling to improve the stability and electrical performance of thermoelectric waste heat recovery systems intended for low-power automotive auxiliary applications. Full article
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33 pages, 767 KB  
Article
Steady-State Modeling of a Natural Convection-Driven, Condensing Methanol Reactor
by Tim van Schagen and Wim Brilman
ChemEngineering 2026, 10(5), 62; https://doi.org/10.3390/chemengineering10050062 - 12 May 2026
Viewed by 374
Abstract
In this paper, a flexible steady-state model of a highly integrated, natural convection-driven condensing methanol reactor was developed. The flowsheet model includes 1D submodels of the different sections of the integrated reactor–condenser and includes a method to estimate the maximum possible natural convection-driven [...] Read more.
In this paper, a flexible steady-state model of a highly integrated, natural convection-driven condensing methanol reactor was developed. The flowsheet model includes 1D submodels of the different sections of the integrated reactor–condenser and includes a method to estimate the maximum possible natural convection-driven flow. Experimental data are used to create a shortcut description for the heat transfer coefficients in the model. The model results indicate that when heat losses can be mitigated, autothermal operation is possible. The major part of the heat integration takes place in the economizer section; however, a significant amount of heat transfer occurs at the catalyst bed also. The model predicts that the loop mass flow and single-pass conversion strongly depend on the catalyst bed inlet temperature. Experimentally measured catalyst preheater and condenser duties suggest, however, that the model-calculated mass flow is likely too low and that it is less dependent on the catalyst bed inlet temperature than the model predicts. A possible cause for this is the neglect of radial temperature gradients in the catalyst bed in the model, overestimating the conversion. Another possible cause is a measurement error in the bed inlet temperature, causing the actual temperature to be lower than the measured value. Natural convection calculations show that the maximum achievable flow strongly depends on the single-pass conversion and that given a single-pass conversion, a minimum temperature difference is required for flow in the right direction. Sensitivity analyses (neglecting heat losses to the environment) show that with the current heat transfer description, the feasible operating range for autothermal, natural convection-driven flow is sizeable. However, at lower recycle mass flows, heat transfer is too fast, leading to premature condensation in the economizer section. If the heat transfer coefficient is smaller than the currently predicted value, autothermal operation is possible in a wide range of conditions. If heat losses are mitigated, the maximum productivity of 2000 kgMeOHmcat.3h1 is achievable at high pressure, a moderate catalyst bed inlet temperature and a low condenser temperature. Full article
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25 pages, 2038 KB  
Article
Kinetic Approach to Evaluating the Antifungal Performance of Dried Garlic for Application as Natural Agents in Food Preservation
by Haura Jilan Muthiah, Agnieszka Drożdżyńska and Jolanta Wawrzyniak
Agriculture 2026, 16(9), 1012; https://doi.org/10.3390/agriculture16091012 - 6 May 2026
Viewed by 517
Abstract
Food deterioration is largely driven by microbial activity, particularly by fungi producing mycotoxins exhibiting mutagenic and carcinogenic effects. Garlic (Allium sativum L.), valued for its antimicrobial and anti-inflammatory properties, is widely recognized as a natural food preservative; however, the high moisture content [...] Read more.
Food deterioration is largely driven by microbial activity, particularly by fungi producing mycotoxins exhibiting mutagenic and carcinogenic effects. Garlic (Allium sativum L.), valued for its antimicrobial and anti-inflammatory properties, is widely recognized as a natural food preservative; however, the high moisture content and intense respiration of freshly harvested garlic accelerate enzymatic degradation of its bioactive compounds, making post-harvest processing essential to preserve its functional properties. This study evaluated the preservative potential of convectively dried garlic (50–90 °C) by testing the antifungal activity of its extracts (6.3–0.8%) against Aspergillus parasiticus, while a modeling approach was employed to quantitatively describe this phenomenon. The antioxidant activity and rehydration capacity were also analyzed. The results demonstrated that both drying temperature and extract concentration significantly influenced fungal growth kinetics. The strongest inhibition was observed for extracts from raw garlic and garlic dried at 50 °C, whereas extracts from samples dried at 70–90 °C only partially suppressed the microbial activity. Predictive modeling accurately described fungal growth (MAE = 1.9, R2 = 0.995), enabling its application in optimizing food preservation strategies. Antioxidant activity was highest in raw garlic, decreased significantly in garlic dried at 50 °C, and then increased progressively with rising drying temperature. The study highlights the need to maintain a balance in drying conditions that ensures efficient drying kinetics while preserving bioactive, functional, and antifungal properties. Full article
(This article belongs to the Section Agricultural Product Quality and Safety)
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27 pages, 6306 KB  
Article
Dynamic Thermal Resistance-Capacity Modeling and Thermal Short-Circuit Analysis: A Study on Natural Convection in a Direct-Expansion CO2 Downhole Heat Exchanger
by Yang Yu, Jing Wang, Xinyue Li, Jinyu Zhao, Shuman Wang, Fei Ma, Jun Zhao and Yang Li
Energies 2026, 19(9), 2015; https://doi.org/10.3390/en19092015 - 22 Apr 2026
Viewed by 426
Abstract
This study addresses the challenge of thermal accumulation and low efficiency in conventional ground heat exchangers for building heating and cooling applications. A novel direct-expansion CO2 borehole heat exchanger (BHE) backfilled with well water is proposed to enhance heat transfer and mitigate [...] Read more.
This study addresses the challenge of thermal accumulation and low efficiency in conventional ground heat exchangers for building heating and cooling applications. A novel direct-expansion CO2 borehole heat exchanger (BHE) backfilled with well water is proposed to enhance heat transfer and mitigate soil thermal imbalance. A dynamic thermal resistance-capacity model (TRCM) coupling CO2 phase change with natural convection in well water is developed and validated against full-scale field experiments (135 m depth), with prediction errors below 5% under cooling conditions (MAPE 2.29%, RMSE 2.49%). Quantitative analysis reveals that natural convection in well water enhances overall heat transfer by 14.9% compared to soil-backfilled systems, despite intensifying thermal short-circuiting. Two practical enhancement strategies for building energy efficiency are proposed: (1) adding insulation to the rising pipe, which increases the heat transfer rate by up to 35.1%; and (2) implementing artificial well-water circulation, which achieves up to 50.5% enhancement, with an equivalent coefficient of performance (COP) reaching 52.5 under intermittent operation. The proposed system and the parametric analysis of these strategies offer effective solutions for improving the energy performance of ground-source heat pumps in buildings, contributing to reduced operational energy consumption and enhanced system reliability. Full article
(This article belongs to the Special Issue Heat Transfer Performance and Influencing Factors of Waste Management)
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16 pages, 7104 KB  
Article
Phase Field Simulation Study of Competitive Growth of Polycrystalline in Directional Solidification Under Natural Convection Conditions
by Qiao Yin, Huaxiang Zha, Chunwen Guo, Junjie Li, Hongliang Zhao, Shuya Zhang, Xianglei Dong and Yuheng Fan
Metals 2026, 16(5), 454; https://doi.org/10.3390/met16050454 - 22 Apr 2026
Viewed by 373
Abstract
Directional solidification technology is the core process for manufacturing single-crystal blades in aero-engines, but transverse grain boundaries caused by the competitive growth of polycrystals severely degrade blade performance. To gain a deeper understanding of polycrystalline competitive growth behavior, this study investigates the competitive [...] Read more.
Directional solidification technology is the core process for manufacturing single-crystal blades in aero-engines, but transverse grain boundaries caused by the competitive growth of polycrystals severely degrade blade performance. To gain a deeper understanding of polycrystalline competitive growth behavior, this study investigates the competitive growth of polycrystals during directional solidification under natural convection based on the phase field and lattice Boltzmann coupling model. By adjusting the solutal expansion coefficient, grain configuration, and pulling velocity, the influence of the flow field on polycrystalline competitive growth is analyzed. The results indicate that changes in the solutal expansion coefficient affect the dendritic competition process and outcome, particularly for dendrites with larger favorably oriented (FO) angles, which are more likely to be eliminated at higher solutal expansion coefficients. Additionally, grain configurations with greater orientation differences between adjacent dendrites are more sensitive to changes in the solutal expansion coefficient, whereas configurations with smaller orientation differences are less affected. It was also found that as the pulling velocity increases, the primary dendrite arm spacing decreases and the growth direction of the dendrites deflects towards the temperature gradient direction. This leads to a reduction in vortices at the dendrite tips and grain boundaries, thereby decreasing the overall flow field intensity. During dendrite growth, solute is rejected from the solid phase, creating a concentration gradient between the dendrite tips and the liquid region. This induces convection in the liquid phase. The interaction between the flow field and the solute concentration in the liquid phase causes the flow field strength and solute concentration to exhibit periodic fluctuations. Full article
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25 pages, 5825 KB  
Review
Incorporation of Bio-Based Infills into Hollow Building Blocks: A Comprehensive Review
by Nadezhda Bondareva, Igor Miroshnichenko, Victoria Simonova and Mikhail Sheremet
Energies 2026, 19(8), 1965; https://doi.org/10.3390/en19081965 - 18 Apr 2026
Viewed by 317
Abstract
The construction sector remains a major contributor to global energy consumption and greenhouse gas emissions. Heat loss through building envelopes plays a key role, especially in regions with long heating seasons. Hollow building blocks are widely used due to their low cost and [...] Read more.
The construction sector remains a major contributor to global energy consumption and greenhouse gas emissions. Heat loss through building envelopes plays a key role, especially in regions with long heating seasons. Hollow building blocks are widely used due to their low cost and structural simplicity, but their inadequate thermal insulation requires additional layers of insulation, increasing costs and complicating installation. The production of cement and traditional insulation materials is associated with a high carbon footprint and disposal issues, which conflict with sustainable development principles and decarbonization goals. In contrast to previous reviews that primarily address bio-based insulation in general building envelopes or focus on bioaggregates in concrete mixes, this paper specifically targets the application of biomaterials in hollow building blocks. It emphasizes how bio-based loose-fill and bound fillers interact with the peculiar thermo-fluid behavior of hollow cavities, including natural convection, conduction and radiation. The effects on thermal performance (thermal conductivity, U-value of walls) are analyzed, along with selected aspects of mechanical strength and durability. Gaps in long-term data on biodegradation are identified. Recommendations for selecting strategies depending on climate and design are offered, as well as directions for future research, including numerical modeling of thermal conditions. The results highlight the potential of biomodified blocks for creating energy-efficient and environmentally friendly wall systems. Full article
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19 pages, 4324 KB  
Article
Numerical Simulation of Natural Convection in Freezing Water Droplets Using OpenFOAM
by Paria Khosravifar, Anna-Lena Ljung and T. Staffan Lundström
Water 2026, 18(8), 949; https://doi.org/10.3390/w18080949 - 16 Apr 2026
Viewed by 699
Abstract
Droplet freezing on cold surfaces plays a critical role in icing phenomena and thermal management systems. In this study, a numerical model is developed to investigate the freezing of a single water droplet, with emphasis on the influence of natural convection on internal [...] Read more.
Droplet freezing on cold surfaces plays a critical role in icing phenomena and thermal management systems. In this study, a numerical model is developed to investigate the freezing of a single water droplet, with emphasis on the influence of natural convection on internal flow dynamics. A two-phase (water–ice) solver is implemented in OpenFOAM by incorporating an enthalpy–porosity solidification model and a buoyancy model into an existing framework. The solver is verified against the analytical solution of the one-dimensional Stefan problem and validated using benchmark cases of natural convection and solidification in a cavity. Using the validated model, we examine the effects of natural convection and water density inversion on the internal flow behavior during droplet freezing. Simulations are performed for a rigid axisymmetric droplet configuration. By accounting for density inversion in the buoyancy source term, the model successfully captures the experimentally observed reversal of internal flow during freezing. The results indicate that the flow reversal occurs when the maximum droplet temperature approaches the density inversion temperature of water. While early-stage freezing follows the classical Stefan solution, comparisons with experimental data indicate that incorporating droplet impact and heat transfer to the surroundings would further enhance the model’s predictive capability. Full article
(This article belongs to the Section Hydraulics and Hydrodynamics)
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16 pages, 3754 KB  
Article
Novel Spatiotemporally Dependent Diffusion Coefficient Models for PM Removal by Passive Air Purifiers: A Theoretical and Experimental Study
by Zhentao Li, Xinlei Pan, Bin Yang, Xiaochuan Li and Tao Wei
Appl. Sci. 2026, 16(8), 3824; https://doi.org/10.3390/app16083824 - 14 Apr 2026
Viewed by 348
Abstract
Fine particulate matter (PM)-induced pollution is one of the major causes of indoor air quality deterioration. Passive air purification technologies offer advantages of structural simplicity and low energy consumption, yet their spatiotemporal mass transfer characteristics remain poorly understood. This study presents a theoretical [...] Read more.
Fine particulate matter (PM)-induced pollution is one of the major causes of indoor air quality deterioration. Passive air purification technologies offer advantages of structural simplicity and low energy consumption, yet their spatiotemporal mass transfer characteristics remain poorly understood. This study presents a theoretical and experimental investigation of PM spatiotemporal mass transfer under the sink effect induced by an electro-convective passive air purifier. The apparent mass transfer coefficient (Dapp) and PM concentration prediction models based on Fick’s second law were established, and then the space-and-time-dependent mass transfer coefficient (Dst) was determined by using the Boltzmann–Matano method. The results revealed that the absolute values of Dst quantified local migration intensity, while its sign provided directional information unattainable from conventional averaged parameters. The logarithmic values of Dapp showed a consistent logarithmic relationship with distance at fixed time windows, and the validated prediction model maintained errors within ±15%, enabling accurate reconstruction of full-field concentration distributions from limited measurement points. The complementary nature of these two coefficients offers a comprehensive evaluation framework. This work advances both the theoretical understanding and practical application of passive air purification technology, offering new tools for indoor PM exposure control and purifier performance optimization. Full article
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23 pages, 4036 KB  
Article
A Comprehensive Study of Large-Format Pouch Cell Thermal Behaviour and Electrical Performance When Incorporating Cell Clamping
by Xujian Zhang, Giles Prentice, David Ainsworth and James Marco
Batteries 2026, 12(4), 132; https://doi.org/10.3390/batteries12040132 - 10 Apr 2026
Viewed by 500
Abstract
In battery systems, external mechanical compression is commonly applied to pouch/prismatic cells to improve their electrical performance and mechanical integrity. However, cell clamping can hinder system heat rejection by introducing an additional thermal insulation layer. A novel battery clamping scheme was designed with [...] Read more.
In battery systems, external mechanical compression is commonly applied to pouch/prismatic cells to improve their electrical performance and mechanical integrity. However, cell clamping can hinder system heat rejection by introducing an additional thermal insulation layer. A novel battery clamping scheme was designed with reduced contact area to explore the system thermal behaviour under different cooling regimes. Experimental data obtained from battery characterisation and performance tests is analysed with a thermal-coupled equivalent circuit model to quantify changes in cell impedance and system thermal properties. By reducing the clamping area by 70%, the temperature rise of the cell was decreased by 0.5 °C in comparison to the reference condition of a cell with no clamping during a 1C discharge under natural convection. Under immersion cooling using BOT2100 dielectric liquid, the thermal benefit was amplified, resulting in temperature reductions of 0.9 °C at 1C and 4 °C at 3C. The principal conclusion of this work is that reshaping the clamping plate has the potential to reduce ohmic heating by lowering battery internal resistance, which outweighs the additional thermal resistance introduced by partial surface coverage. This novel experimental approach demonstrates the potential to improve battery thermal management through geometry-optimised cell clamping, particularly for high-power applications, and further directs the community towards cell clamping solution designed to optimise both thermal and mechanical cell performance. Full article
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40 pages, 2377 KB  
Review
Thermophysical and Rheological Characteristics of CO2 Hydrate Slurries for Cold Thermal Energy Storage Applications and Engineering Perspectives
by Sai Bhargav Annavajjala, Noah Van Dam and Jan Kosny
Materials 2026, 19(7), 1434; https://doi.org/10.3390/ma19071434 - 3 Apr 2026
Viewed by 567
Abstract
Carbon dioxide (CO2) hydrate slurries have emerged as promising candidates for cold thermal energy storage (CTES) and refrigeration systems due to their high latent heat, controllable flow behavior, and environmentally friendly nature. These slurries are formed by dispersing solid CO2 [...] Read more.
Carbon dioxide (CO2) hydrate slurries have emerged as promising candidates for cold thermal energy storage (CTES) and refrigeration systems due to their high latent heat, controllable flow behavior, and environmentally friendly nature. These slurries are formed by dispersing solid CO2 hydrate particles in a liquid phase, forming a multiphase system with tunable thermophysical and rheological properties. The performance of these slurries is dependent on nucleation kinetics, particle sizes and their distribution, solid content, and thermal transport characteristics under flow conditions. This review paper gives an assessment of CO2 hydrate slurries from a thermofluid’ perspective by focusing on key aspects such as hydrate nucleation mechanisms, viscosity behavior, shear response, thermal conductivity, convective heat transfer, and slurry stability. Particular attention is given to the role of surfactants and nanoparticle additives that enhance hydrate formation and improve slurry performance. The addition of nanofluids is discussed both in terms of their effect on thermal properties as well as in flow stability. Full article
(This article belongs to the Section Energy Materials)
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16 pages, 1109 KB  
Article
Comparative Evaluation of Drying Methods for Vegetable Waste Aimed at Producing Natural Functional Food Ingredients
by Tamara Tultabayeva, Umyt Zhumanova, Kadyrzhan Makangali, Assem Sagandyk, Aknur Muldasheva, Aruzhan Shoman and Mukhtar Tultabayev
Molecules 2026, 31(7), 1190; https://doi.org/10.3390/molecules31071190 - 3 Apr 2026
Cited by 1 | Viewed by 477
Abstract
This study presents a comparative evaluation of four drying methods for carrot, red beet, and pumpkin pomace to produce natural functional food ingredients. The work addresses the valorization of 35–45% vegetable processing waste—a rich source of bioactive compounds—aligning with circular bioeconomy principles and [...] Read more.
This study presents a comparative evaluation of four drying methods for carrot, red beet, and pumpkin pomace to produce natural functional food ingredients. The work addresses the valorization of 35–45% vegetable processing waste—a rich source of bioactive compounds—aligning with circular bioeconomy principles and Kazakhstan’s goals for deep processing of agricultural raw materials. The compared methods were convective drying (CD), ultrasound pretreatment + convective drying (US + CD), vacuum-microwave drying (VMD), and ultrasound pretreatment + vacuum-microwave drying (US + VMD). Drying kinetics, water activity, physicochemical and functional properties of powders, retention of bioactive compounds, color characteristics, thermal stability, and sensory attributes were assessed. Kinetics were fitted using Midilli et al., Page, and Weibull models. US + VMD provided the highest drying acceleration (6–11 times faster than CD), reaching final moisture of 5.1–5.9%, water activity aw 0.27–0.31 in 80–170 min, and bioactive compound retention of 90–95% (carotenoids 92–95%, betalains 90–94%). It also delivered superior flowability (Carr’s index 22.5–30.4%), dispersibility (80–88% in 30 s), and thermal stability (75–85% at 200 °C). Acceleration varied by raw material: maximum for beet (up to 11×) due to soluble sugars and nitrates, minimum for pumpkin (5.5–8×) due to dietary fibers and pectins, and intermediate for carrot (6–9×) influenced by carotenoids’ dielectric properties. The results highlight US + VMD’s strong potential for producing functional powders to replace synthetic additives in food systems. Effective method selection and parameter optimization require consideration of raw material type and rheological characteristics. Full article
(This article belongs to the Special Issue New Perspectives on Analytical Methods in Food Products)
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23 pages, 5320 KB  
Article
Numerical Investigation of Cooling Liquid Effects on Thermal Performance and Uniformity of an Immersion-Cooled Lithium-Ion Battery Module
by Yaohong Zhao, Weihang Gao, Cheng Mao, Zhenyu Yi, Yihua Qian, Qing Wang and Xiaojing Zhang
Appl. Sci. 2026, 16(7), 3478; https://doi.org/10.3390/app16073478 - 2 Apr 2026
Viewed by 663
Abstract
Immersion cooling has been widely investigated in battery thermal management due to its high cooling efficiency; however, the influence of coolant properties on the thermal behavior and temperature uniformity of large-capacity energy storage battery modules remains unclear. In this study, a three-dimensional numerical [...] Read more.
Immersion cooling has been widely investigated in battery thermal management due to its high cooling efficiency; however, the influence of coolant properties on the thermal behavior and temperature uniformity of large-capacity energy storage battery modules remains unclear. In this study, a three-dimensional numerical model is developed to investigate the thermal performance of an immersion-cooled battery module consisting of 52 prismatic cells. The cooling performance of silicone oil (SO), synthetic hydrocarbon (SH), and two synthetic esters (SE) with different viscosities is systematically compared under various discharge rates and volumetric flow rates. The battery thermal model was validated through single-cell experiments under natural air convection conditions. The research results indicate that at a 0.5C discharge rate, the 30 cSt SE achieves a reduction in maximum battery pack temperature of 6.3% and 7.0% compared to SO and SH, respectively. Furthermore, the maximum temperature difference is significantly reduced by 22.9% and 25.4% under the same conditions. Due to differences in the inherent properties and flow heat transfer characteristics of the coolant, at a volumetric flow rate of 12 L/min, the 30 cSt SE resulted in a 15.8% reduction in module temperature difference compared to the 20 cSt SE. To further evaluate the internal thermal balance of the battery module, two thermal uniformity indicators were introduced to quantify the consistency of the highest temperature of individual cells and the internal temperature difference. Considering both the temperature performance and thermal uniformity at the module level, from a heat dissipation performance perspective, the 30 cSt SE demonstrates significant potential for thermal management of large-scale prismatic battery packs. Full article
(This article belongs to the Section Applied Thermal Engineering)
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14 pages, 3490 KB  
Article
Effect of Air Permeability of Material and Structure of Air Layer on Garment Insulation
by Jiyeon Kwon, Shuga Tanizaki, Fumitoshi Kobayashi, Shunji Takeuchi, Hiroki Maru, Hiroyuki Kanai and Tetsu Sasagawa
Textiles 2026, 6(2), 41; https://doi.org/10.3390/textiles6020041 - 1 Apr 2026
Viewed by 722
Abstract
This study investigated thermal insulation in layered suit systems by systematically varying air-layer thickness and structure (single vs. sandwiched), fabric air permeability, and ambient airflow. A hot plate based apparatus equipped with air-layer spacers and an airflow-generation system was developed, and suit fabrics [...] Read more.
This study investigated thermal insulation in layered suit systems by systematically varying air-layer thickness and structure (single vs. sandwiched), fabric air permeability, and ambient airflow. A hot plate based apparatus equipped with air-layer spacers and an airflow-generation system was developed, and suit fabrics with different air permeability but similar thickness were fabricated. Heat flux from the heated plate and air-layer temperature were measured in three experimental series. Under no-airflow conditions, insulation was maximized at a 20 mm air layer, whereas a 30 mm air layer increased heat flux, suggesting buoyancy-driven convection. Under airflow conditions, thinner air-layers allowed airflow to influence the hot plate region more directly, while thicker-layers attenuated this effect. The sandwich-structured air layer reduced heat flux compared with a single air layer of the same total thickness, and its effect depended on the thickness distribution between the upper and lower air-layers. Fabric air permeability increased heat flux mainly under airflow, indicating that permeability effects should be evaluated under combined conditions of ambient airflow and controlled air-layer configurations. Full article
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