Heat Distribution Research Articles

Quality Evaluation and Heat and Mass Transfer Mechanism of Microwave Vacuum Drying of Astragalus Roots.

In this research, the objective was to optimize the drying process of Astragalus by investigating the effects of microwave vacuum drying parameters, including temperature (30, 35, 40, 45, and 50 °C) and slice thickness (2, 3, 4, 5, and 6 mm). In addition, utilizing COMSOL 6.0 finite element analysis software, we delved into the distribution of heat and moisture during the drying process. The results revealed that drying temperature played a significantly greater role than slice thickness in determining the drying dynamics. The thermal and mass transfer mechanism indicated that the whole drying process conforms to the microwave radiation mechanism and the basic principle of electromagnetic heating. In the case of low temperatures and thinner slice sizes, the more polysaccharide content was retained; The total phenol content peaked when the slice thickness was 5 mm; The increase of slice thickness was not conducive to the retention of total flavonoids content. The potent antioxidant capacity was detected at a temperature of 40 °C, with slice thickness having a negligible effect on this capacity; Low temperatures were beneficial for the preservation of active ingredients. Compared with the scanning electron microscope, the structure appeared more uniform at a temperature of 50 °C. Based on the analysis of the kinetic characteristics of microwave vacuum drying of Astragalus and the quality achieved under various drying conditions, the results of the study can provide valuable guidance for controlling the quality of microwave vacuum drying of Astragalus under different drying requirements.

Thermal characterisation of isotopic heat sources for enhanced thermophotovoltaic systems

Radioisotope thermophotovoltaics (RTPVs) are playing an increasingly important role in the energy supply for deep space exploration. The output performance of RTPVs can be significantly improved by increasing the surface temperature of isotopic heat sources and reducing the high-temperature degradation effect of the thermophotovoltaic cells. This work proposes methods such as selective emission coating and adjusting heat source structure to improve heat source temperature and optimize heat distribution. Results showed that the surface temperature of the heat source could generally reach more than 1000 K by using the selective coating when the thermal power of the isotopic heat source was 500 W. The use of selective coatings can also make the thermophotovoltaic cells closer to the heat source, and the volume of RTPVs could be reduced from 1.23 × 10−3 m3 to 0.49 × 10−3 m3, with a reduction of ∼60 %. Under the condition of W@SiO2 selective coating and 500 W heat source, RTPVs could produce the maximum output power of 22 mW/cm2 when the distance between the InGaAs cell and the heat source is 2 cm. The results provided effective guidance for the design of the heat source and miniaturization of RTPVs in space applications.

Tuning residual stresses in welded structures by exploiting bio‐inspired suture interfaces

AbstractNature offers a valuable source of inspiration when designing optimized structures. For instance, when two or more shells are joined during growth processes, Nature prefers to exploit interlocking paradigms to enhance the strength of the bond—cranial sutures are one example. Mimicking this distinctive characteristic when welding thin metallic elements may offer some structural benefits. The present study theoretically investigates the possibility of mitigating the detrimental tensile residual stress that always originated by welding processes, by exploiting Computational Welding Mechanics. Specifically, two plates joined by laser welding following sinusoidal paths (i.e., wave‐like), alongside a linear one, will be studied and compared. Thanks to the distinctive temporal and spatial heat distributions of sinusoidal welding, both welding stress and strain develop in dissimilar ways compared with linear path welding—this is reflected to the resulting weldment distortion too. The results show that geometrically optimized sinusoidal welding can effectively reduce residual stress magnitudes compared with the linear configuration counterpart. The implications of these findings are of particular interest when dealing with the structural performance of welded structures, especially in fatigue contexts.

Integrating Microwave Heating with Foam-Mat Drying: Drying Kinetics and Optimization for Thick Foamed Mango Pulp

This study addresses the challenge of processing undersized or overripe mangoes by integrating microwave heating with traditional foam-mat drying technique. The study aims at investigating drying kinetics coupled with thin-layer drying modeling and influences of microwave power (300 - 600 W) and hot-air temperature (55 - 75 °C). Among ten drying models, the so-called Midilli equation fitted well with experimental data. Results showed enhanced drying process associated with microwave heating, providing reduced drying time from 600 - 700 min (for conventional hot-air mode) to 30 - 100 min (for microwave-assisted mode). Standard deviations of moisture content and dried foam thickness measured at various points revealed uneven heat distribution when using high microwave energy, evidenced by burnt spots at 600 W. Additionally, foam collapse was observed under the mild process with low microwave powers, possibly due to prolonged drying periods. Response surface methodology demonstrated that microwave power was more important factor, positively affecting effective diffusivity coefficient (Deff) while inversely influencing specific energy consumption (SEC) and color difference (DE). Deff value increased from 5.41´10-6 m²×s-1 at 300 W and 55 °C to 18.43´10-6 m²×s-1 at 600 W and 75 °C, confirming enhance drying performance. As assisted with microwave heating, drying foamed mango sample consumed less energy up to 92 %. Optimal drying parameters were determined based on balancing the enhancement of drying performance and color alteration, suggesting drying the thick foamed mango pulp at temperature of 55 °C combined with microwave heating at 520 W, which can be served as a basis for further industrial scale-up. HIGHLIGHTS Novel method for thick mango pulp snacks. Reduced drying time from 600 - 700 to 30 - 100 min. Lowered energy use to 5.83 kWh×kg-1. Optimal conditions at 520 W, 55 °C, desirability 0.669. Applied Midilli model with 99 % accuracy. GRAPHICAL ABSTRACT

Numerical investigation of heat and moisture migration in clayey and sandy soils, exploring seasonal fluctuations

Geothermal energy is widely known as a sustainable and eco-friendly energy source. For its applications, assessing the hydrothermal soil behaviour is crucial. However, the installation of ground geothermal systems at shallow depths makes them sensitive to atmospheric conditions, which affect the temperature field and the thermal balance. This paper presents the results of a numerical study investigating the hydrothermal behaviour of unsaturated soils (clay and sand), considering the meteorological variations at the ground surface. The atmospheric-soil interactions, including solar radiation, sensible heat flux, and latent heat flux, are essential for quantifying the energy balance and the hydro-thermal transfer processes taking place at the ground surface. By analysing these components, we can gain a comprehensive understanding of how energy is distributed and transferred to the soil. A numerical study was carried out using a finite element method (FEM) to assess the hydrothermal behaviour of unsaturated soils. The analysis of the obtained results from the model simulation reveals that variations in soil types have an impact on the distribution of heat and moisture migration, with both time and depth. Moreover, it appears that clayey soils show the highest efficiency in geothermal energy transfer. This research offers crucial insights into the optimization of both the design and implementation of geothermal systems.

A modeling method for thermal steady-state simulation of the four-layer printed circuit board.

Thermal simulation of a Printed Circuit Board (PCB) can help identify potential overheating risks in the circuit. The proposed modeling method combines analytical temperature solutions and numerical approximations. Only Fourier-series analytical solutions related to the prepreg-layer surfaces need to be calculated, rather than the entire structure. Heat transfer through the lateral sides of a PCB is approximately considered as part of the compensated heat flux of the insulating-layer surface boundaries. Heat diffusion within or between metal layers is numerically approximated using the finite volume method. The core layer is treated as "thermally-thick". Temperature-dependent boundary conditions are considered through iterations. A test solver was developed based on the method. The modeling accuracy was validated by comparison with COMSOL Multiphysics for a four-layer structure with a moderate degree of discretization. Additionally, a PCB for generating DC 3.3V was designed, tested, and modeled, with the modeling results confirmed by the thermal images. The electro-thermal analysis of the distribution of electric potential and Joule heating in traces and vias was integrated into the PCB model. The layout maps of the PCB were further adjusted to reduce Joule heating in the output circuit, and the improvement on reducing the IR drop and hotspot temperature was examined.

Thermal energy resource utilization and sample image restoration technology based on Machine vision simulation in interior design

With the rise of sustainable building design, the traditional design methods are often unable to fully consider the optimal allocation and application of thermal energy resources. This study aims to explore the application of heat resource utilization and sample image restoration technology based on machine vision simulation technology in interior design, and provide practical solutions for optimizing indoor environment. In this paper, machine vision technology is used to monitor and model indoor space in real time, and heat energy flow and distribution under different design schemes are simulated. At the same time, the influence of different designs on thermal energy utilization efficiency is analyzed by using sample image restoration technology. In the study, a set of comprehensive evaluation indexes was established, which comprehensively considered the factors of heat efficiency, indoor comfort and energy consumption. The experimental results show that the simulation technology based on machine vision can accurately predict the indoor heat distribution and identify the best design scheme. At the same time, the sample image restoration technology significantly improves the evaluation accuracy of heat utilization efficiency. Through these methods, the optimized design scheme has higher thermal energy utilization than the traditional design, and significantly improves the indoor comfort. This study shows that the combination of machine vision simulation and sample image restoration technology can effectively improve the utilization efficiency of thermal energy resources in interior design, and provide new ideas and methods for sustainable building design.

3D printed Ti3C2@Polymer based artificial forest for autonomous water harvesting system

The escalating scarcity of freshwater resources presents significant challenges to global sustainability, demanding innovative solutions by integrating cutting-edge materials and technologies. Here we introduce an autonomous artificial forest (3D AF) for continuous freshwater acquisition. This system features a three-dimensional (3D) architecture incorporating a carbon nanofiber (CNF) network and MXene@polypyrrole (Ti3C2@PPy), enhancing surface area, light absorption, heat distribution, and surface wettability to improve solar vapor generation and fog collection efficiency. The autonomous operation is facilitated by an integrated photothermal actuator that adjusts to the day and night conditions. During daylight, the 3D AF tilts downward to maximize solar exposure for water evaporation, while at night, it self-adjusts to optimize fog particle collection. Notably, our device demonstrates the ability to harvest over 5.5 L m−2 of freshwater daily outdoors. This study showcases the potential of integrating advanced materials and technologies to address pressing global freshwater challenges, paving the way for future innovations in water harvesting.

Enhancing microstructure and mechanical properties of laser directed energy deposited AlSi10Mg alloy by friction stir processing

The low strength-plastic properties of AlSi10Mg alloy prepared by laser directed energy deposition (LDED) have limited its application in aerospace and related fields, prompting researchers to explore friction stir processing (FSP) as a viable post-treatment solution. This study investigated the effects of FSP on the microstructure and mechanical properties of AlSi10Mg alloy formed by LDED, revealing that FSP effectively eliminated pores and refined grains, transforming the coarse and uneven grains in base material (BM) into fine and uniform equiaxed grains. Consequently, the thermal mechanical affected zone presented a microstructure gradient due to the uneven distribution of material flow and frictional heat. Additionally, the yield strength (YS), ultimate tensile strength (UTS), and elongation (EL) of LDEDed specimens were determined to 91.98 MPa, 158.57 MPa, and 4.29 %, respectively. YS and UTS of LDED-FSPed specimens were increased about 20 % and 30 %, and EL was greatly improved approximately 2–3 times compared with LDEDed specimens. Consequently, the grain refinement and porosity elimination caused by FSP improve the mechanical properties and microstructure evolution of LDED-FSPed specimens.

Parameterization and heat generation investigation of cylindrical lithium batteries based on a reconstructed electrochemical-thermal coupling model

To comprehensively investigate the electrochemical and thermal behaviors of cylindrical lithium-ion batteries (LIBs), an appropriate reconstructed electrochemical-thermal coupling model (RETM) is first established to parameterize the LIBs, and the simulation differences of different geometric configurations are quantitatively studied from two perspectives as temperature and voltage. Based on this RETM, a comprehensive method to obtain battery information by scanning electron microscopy, actual measurement and parameter estimation algorithm is further proposed and analyzed. Additionally, the heat generation rate (HGR) and the heat distributions of the cylindrical battery are carefully explored and a novel HGR verification method of the RETM is proposed and illustrated. Finally, the simulation and experimental results validate the superiority and effectiveness of the proposed RETM and HGR analysis method. This work could help other researchers predict the electrochemical and thermal behavior of batteries under different applicable conditions more effectively.

Modifying the performance kinetics in the shell-and-multi tube latent heat storage system via dedicated finned tubes for building applications

Phase change materials (PCMs) offer significant potential for building energy management, but are limited by poor heat transfer rates. This study investigates charging/discharging performance optimization of a shell-and-multi-tube heat storage system using high-enthalpy PCM (RT70HC) with differentiated fin configurations. The key novelty of the work lies in its thorough examination of geometric mutations within this system, specifically targeting building energy applications. A validated numerical model simulated charging and discharging processes, comparing finned and plain tube designs. Key performance metrics analyzed here include melting times, heat storage rates, phase transition velocities, and temperature profiles. Results reveal the finned tube design enables a 268 % higher heat storage rate (1421 W vs 387 W) and 74.5 % faster melting time (196 min vs 770 min) compared to the plain tube. Detailed analysis of the 10-h charging process exposes intricate thermal stratification patterns. The inclusion of dedicated discharging finned tubes significantly enhances heat distribution. During the 20-h discharge, heat transfer rates decrease from 2000 W to 100 W, providing crucial insights into solidification dynamics. These quantified findings highlight the potential of optimized finned tube arrays to substantially improve thermal performance of shell-and-multi-tube heat storage systems for building energy applications.

Study of Heat Distribution in Railway Switch Using Resistive Heater in Cold Climate Conditions

Study of Heat Distribution in Railway Switch Using Resistive Heater in Cold Climate Conditions

Heat Distribution Simulation in a Square Aluminum 7075 Plate Using Laplace Equation and MATLAB

The efficient management of heat transfer from aircraft engines to the wings is vital for maintaining thermal efficiency and structural integrity in modern aircraft design. Excessive heating of the wings, caused by engine-generated heat, can negatively impact aerodynamic performance and safety. This study focuses on analyzing heat distribution in a square aluminum 7075 plate to better understand heat transfer mechanisms. Using the Laplace equation, implemented through MATLAB (2023 Online Version), we aim to simulate and analyze heat distribution on the plate. The numerical method employed in this research involves solving the Laplace equation with Neumann boundary conditions, which represent insulated edges. The Liebmann method is used to iteratively reduce error to less than 1%. Simulations are conducted on an aluminum 7075 plate of dimensions 4x10⁻² m x 4x10⁻² m under various temperature conditions at the edges. Numerical results show that at the 9th iteration, the error reaches 0.71%, while MATLAB simulations yield an error of 0.4681% at the same iteration. The heat distribution across the plate is clearly visualized, and the analysis indicates that increasing the number of grids improves both the clarity and accuracy of the simulation results. In conclusion, this study demonstrates that applying the Laplace equation via MATLAB is an effective approach for analyzing heat distribution in aluminum 7075 plates. The results show that a finer grid resolution enhances accuracy, with a 101-grid system providing particularly clear and precise heat distribution patterns. These findings contribute to the optimization of thermal system designs, especially in aviation-related applications.

Model order reduction and sensitivity analysis for complex heat transfer simulations inside the human eyeball.

Heat transfer in the human eyeball, a complex organ, is significantly influenced by various pathophysiological and external parameters. Particularly, heat transfer critically affects fluid behavior within the eye and ocular drug delivery processes. Overcoming the challenges of experimental analysis, this study introduces a comprehensive three-dimensional mathematical and computational model to simulate the heat transfer in a realistic geometry. Our work includes an extensive sensitivity analysis to address uncertainties and delineate the impact of different variables on heat distribution in ocular tissues. To manage the model's complexity, we employed a very fast model reduction technique with certified sharp error bounds, ensuring computational efficiency without compromising accuracy. Our results demonstrate remarkable consistency with experimental observations and align closely with existing numerical findings in the literature. Crucially, our findings underscore the significant role of blood flow and environmental conditions, particularly in the eye's internal tissues. Clinically, this model offers a promising tool for examining the temperature-related effects of various therapeutic interventions on the eye. Such insights are invaluable for optimizing treatment strategies in ophthalmology.

Performance investigation of a solar-driven cascaded phase change heat storage cross-seasonal heating system for plateau applications

The mismatch between solar radiation resources and building heating demand on a seasonal scale makes cross-seasonal heat storage a crucial technology, especially for plateau areas. Utilizing phase change materials with high energy density and stable heat output effectively improves energy storage efficiency. This study integrates cascaded phase change with a cross-seasonal heat storage system aimed at achieving low-carbon heating. The simulation analyzes heat distribution and temperature changes from the heat storage system to the heating terminal. The results indicate that although the solar collectors operate for 26.3% of the total heat storage and heating period, the cumulative heat stored is 45.4% higher than the total heating load. Heat transferred by the cross-seasonal heat storage system accounts for up to 61.2% of the total heating load. Therefore, the system reduces fuel consumption by 77.6% compared to conventional fossil fuel heating systems. Moreover, radiant floor heating terminals, with a wide range of operating temperatures, match well with cascaded phase change heat storage and can reduce operation time by 19.5% and heat demand by 5.2% compared to conventional radiators. In addition to demonstrating the feasibility of applying cascaded phase change technology in cross-seasonal heat storage heating, this study reveals the lifecycle sustainability due to the shortened heat storage period. The configuration, parameters, and simulation results provide a reference basis for system application and design.

Effect of processing sequences in multi-pass friction stir processing on microstructure, microtexture and microhardness of 6063 aluminum alloy

ABSTRACT Single and double direction stir processing sequences were employed and investigated by fixing all other FSP parameters. Optical microscopy (OM) was utilised to assess the size and geometry of the processed zone. EBSD was also employed to evaluate the microstructure and microtexture development in different regions of the processed zones. In addition, Vickers microhardness measurements were made to evaluate the hardness evolution across the processed zone for the two processing sequences. The results show that using a single direction processing sequence is preferable due to better grain refinement, mainly in all regions of the processed samples. Gradual improvement was observed in microhardness with each additional pass, stronger refinement, and homogeneous grains in the processed regions (stir and overlapping zones). In the first pass’s stir zone (SZ), the microhardness is approximately 42.5Hv, while it increases to an average of 43.4Hv in SZ2 of the second pass and 44.3Hv in SZ3 of the third pass. Furthermore, more resistance to plastic deformation (slip) and lower intensity of heat distribution when compared to the double direction. Therefore, the application of a single direction processing sequence can be beneficial in the welding of such aluminium alloys.

Lid driven flow and heat transfer due to various positions of slit in a square cavity: FEM approach

A detailed analysis of flow and heat transfer due to moving slit within the various positions of the square cavity is discussed. The slit is strategically positioned and examined at three distinct locations within the square cavity i.e. left, middle and right. Constraints of the square cavity are defined for horizontal and vertical walls. The top horizontal wall is considered to be adiabatic while the other three walls of the cavity are cold. The upper surface of slit is heated and movable towards the left side of the square cavity while the other three walls are immovable and cold. The fluid flow dynamics and heat transfer within the enclosed cavity are governed by fundamental principles of mass, momentum and energy conservation. These governing principles manifest as intricate mathematical equations, specifically nonlinear partial differential equations accompanied with boundary conditions. The key parameters under consideration include the Reynolds number (250≤Re≤1500) and Richardson number (0.01≤Ri≤5) at a fixed Prandtl number (Pr=6.2). These parameters are analysed through variations in velocities, temperature profiles, isotherms and streamlines. In the computational framework, the momentum and temperature equations are addressed through quadratic interpolation, while linear interpolation is applied to handle the pressure equation. The numerical solution, utilizing Newton's technique and the PARADISO solver, is rigorously validated against existing research methodologies, establishing its methodological reliability. Higher Reynolds numbers shift the primary vortex towards the middle and create corner recirculation zones, more uniform heat distribution, while higher Richardson numbers increase buoyancy forces, reducing isotherm contours and affecting heat distribution. The local Nusselt number increases with the increase in Reynolds numbers but shows small changes with the increase in Richardson number. The value of Nusselt number decreases as the position of slit changes from left to right.

One-Pot Synthesis of a pH-Sensitive MOF Integrated with Glucose Oxidase for Amplified Tumor Photodynamic/Photothermal Therapy.

Photothermal therapy (PTT) and photodynamic therapy (PDT) provide targeted approaches to cancer treatment, but each therapy has inherent limitations such as insufficient tissue penetration, uneven heat distribution, extreme hypoxia, and overexpressed HSP90 in tumor cells. To address these issues, herein, by encapsulating the IR780 dye and glucose oxidase (GOx) enzyme within ZIF-8 nanoparticles, we created a versatile system capable of combining photodynamic and enhanced photothermal therapy. The integration of the IR780 dye facilitated the generation of reactive oxygen species and hyperthermia upon light activation, enabling dual-mode cancer cell ablation. Moreover, GOx catalyzes the decomposition of glucose into gluconic acid and hydrogen peroxide, leading to the inhibition of ATP production and downregulation of heat shock protein 90 (HSP90) expression, sensitizing cancer cells to heat-induced cytotoxicity. This synergistic combination resulted in significantly improved therapeutic outcomes. Both in vitro and in vivo results validated that the nanoplatform demonstrated superior specificity and favorable therapeutic responses. Our innovative approach represents a promising strategy for overcoming current limitations in cancer treatments and offers the potential for clinical translation in the future.

Identifying untraced faults associated with high return temperatures from heating systems in buildings connected to district heating networks

The district heating (DH) system is in its transition towards the 4th generation district heating (4GDH), and the high DH return temperatures need to be addressed during the process. In the existing building heating systems, many faults, malfunctions, or sub-optimal operations can lead to high DH return temperatures. However, the field of fault detection and diagnostics (FDD) within heating systems is notably under-researched in contrast to their counterparts in ventilation and air conditioning in building HVAC systems. This divergence can be attributed to several factors, including limited digital integration, a scarcity of data, and the non-obvious nature of faults in heating systems. In this study, we utilized heat cost allocators (HCA) and energy meters to investigate the features and potential impacts of four untraced faults that can lead to high district heating (DH) return temperatures in both space heating and domestic hot water systems in large buildings. We identified component-level faults, including heat exchanger overflow, space heating temperature controller failures, and excessive operating temperatures due to bypass, as well as system-level issues such as non-uniform heat distribution in buildings and its impacts. This exploration provides new, critical insights for advancing FDD research in HVAC and DH systems.

Simulation of indoor thermal energy radiators and visualization design of indoor environment layout based on genetic algorithm and light sensor

With the increasing attention to comfortable living environment and energy efficiency, indoor thermal energy management has become an important task in architectural design. Reasonable heat dissipation system can not only improve indoor comfort, but also reduce energy consumption. The aim of this study is to optimize the layout of indoor heat radiator by genetic algorithm and visualization design of indoor environment combined with light sensor, so as to improve the efficiency and comfort of space heat utilization. The indoor heat dissipation model is established, and the changes of indoor temperature and light are monitored by light sensor in real time. Then genetic algorithm is used to optimize the layout of the radiator, considering the heat distribution and light intensity at different locations. The impact of different design schemes on indoor environment was evaluated through simulation experiments. After many iterations, the optimized radiator layout shows a more uniform heat distribution and significantly improved indoor comfort, and the data from the light sensor provides real-time feedback on the environmental layout, making the design solution more realistic. Therefore, the optimization method based on genetic algorithm can effectively improve the layout efficiency of indoor heat radiator, combined with the application of light sensor, can achieve a more scientific indoor environment design.