High Thermal Conductivity Research Articles

Effect of long-term nanofluid usage on horizontal ground source heat pump performance

Nanofluids in thermal systems such as heat pumps are one of the innovative approaches due to their high thermal conductivity. However, nanofluids suffer from effects such as agglomeration and settling. Gravitational sedimentation occurs in the absence of circulation or mean flow conditions; this is a common problem in real-life engineering applications. The current experimental study focuses on how the system performance will be affected in this long standby situation. The study investigated the effect of nanofluid on the system performance in a Nanofluid-Assisted Ground Source Heat Pump (NAGSHP) system, which was examined experimentally long term. The findings show a loss of up to 3% in the performance of the Ground Heat Exchanger (GHE) and a 2.5% decrease in the coefficient of performance (COP) of the system. These values are even lower than the results obtained from experiments with ethylene glycol-water (without nanofluid) base fluid in the previous study. These results show that nanofluids cause performance degradation in long standby conditions. Further studies can investigate the interaction between surfactants and nanoparticles that reduce the sedimentation rate, considering different flow conditions, and show the implications of these results in engineering applications.

Maximizing filler content and manufacturing highly thermal conductive composite materials through eutectic liquefaction of epoxy resin

We report novel research results demonstrating the production of polymer nanocomposites with high thermal conductivity. The use of diluents, a conventionally used method to reduce viscosity and increase processability, had clear limitations that could not be used for solid epoxy, but in this study, the melting point of the epoxy itself was reduced through the introduction of the eutectic system, allowing the solid epoxy to be converted into a liquid phase. By utilizing eutectic liquid (EL) derived from ketone-containing epoxy resin (DBPE) and diphenylamine (DPA), we achieved maximal filler content. Unlike DBPE’s solid form at 135 °C, EL displayed liquidity with a viscosity of 50 Pa·s at 50 °C, enabling curing with isophorone diamine (IPDA) below DBPE’s melting point. While DBPE/IPDA yielded a tensile strength of 7.2 MPa due to uneven mixing, EL/IPDA reached 44.3 MPa, marking a 520 % improvement. EL’s viscosity dropped dramatically, reaching 0.06 Pa·s at 98 °C. The EL/IPDA mixture’s viscosity at 98 °C was 150 Pa·s, allowing up to 80 wt% hexagonal boron nitride (h-BN) filler. This led to a thermal conductivity of 16 W/m·K, 20 wt% higher than DGEBA’s 60 wt% filling rate. Notably, EL/h-BN composites achieved 16 times the thermal conductivity of DGEBA/h-BN composites, which is 1 W/m·K. Lowering the melting point and viscosity expanded curing agent choices, enhanced tensile strength, increased filler content, and heightened thermal conductivity, showcasing EL’s remarkable potential.

Predicting the thermal conductivity of polymer composites with one-dimensional oriented fillers using the combination of deep learning and ensemble learning

Polymer composites with one-dimensional (1D) oriented fillers, recognized for their high thermal conductivity (TC), are extensively utilized in cooling electronic components. However, the prediction of the TC of composites with 1D oriented fillers poses a challenge due to the significant impact of filler orientation on composite TC. In this paper, we use a strategy that combines deep learning and ensemble learning to efficiently and quickly predict the TC of composites with 1D oriented fillers. First, as a control, we used convolutional neural network (CNN) model to predict the TC of 1D carbon fiber-epoxy composite, and the R-squared (R2) on the test set reached 0.924. However, for composites consist of different matrices and fillers, the CNN model needs to be retrained, which greatly wastes computing resources. Therefore, we define a descriptor ‘Orientation degree (Od)’ to quantitatively describe the spatial distribution of the 1D fillers. CNN model was used to predict this structural parameter, the accuracy R2 can reach 0.950. Using Od as a feature, random forest regression (RFR) was used to predict the TC, and the accuracy R2 reached 0.954, which was higher than that of CNN control group. We further successfully extended this strategy to composites consist of different 1D fillers and matrices, and only one CNN model and one RFR model needed to be trained to achieve fast and accurate TC prediction. This strategy provides valuable insights and guidance for machine learning-based material property prediction.

Reactive extrusion for efficient preparation of high temperature resistant PA6T/66/BN composites with great thermal management and mechanical properties

High temperature resistant polymer-based composite with high thermal conductivity and great mechanical properties are highly demanded in the field of electronic devices for simultaneously meeting surface mounting process and high-power operation. The key to achieving this goal is to balance the contradiction between the high melt viscosity of high-temperature resistant polymers and the dispersibility of fillers. In this work, the high-performance polyamide 6T/66/hexagonal boron nitride (PA6T/66/BN) composites were fabricated successfully via the method combining prepolymerization and reactive extrusion. Results demonstrated that this method not only significantly improves the preparation efficiency of high temperature resistant polyamide and its composites, but also enables the prepared composites to reach 3.6 W/(m⋅K), over 299 °C and 67.8 MPa in thermal conductivity, melting point and tensile strength respectively. Furthermore, the prepared composite exhibits excellent thermal management effects on LED and CPU. Therefore, the results of this work are of great significance for the efficient preparation and wide application of high-temperature resistant polymer based thermally conductive composites.

Complex heat transfer analysis in heat exchanger with constructal cylindrical fins

This paper documents a 3-D numerical analysis and theoretical prediction in novel micro-channel heat sinks comprise of three configurations. The first design has solid fins, the second model has half-hollow fins placed on micro-channel, while in the third design, hollow fins are mounted on the heat sink. The objective of the study is to maximise the dimensionless thermal conductance subject to fixed volume. A microelectronic device released high-density heat flux at the bottom of heat sink and liquid of Reynolds number range between 400 and 500, is applied at entrance of the boundary under laminar forced convection scheme to dispel heat deposited in the cooling channels and the internal parts of the hollows. A multi-objective broadscale step-by-step code is used to perform the optimisation and the results shows that the micro-channel with full-hollows has the highest thermal conductance at Rew<475, followed by solid fins before half-drilled fins. Theoretical analysis is conducted on the three configurations using the intersection of asymptotes method, and the results compared favorably with numerical solution. The findings indicate that the theoretical solution tends to over-predict the numerical results within a certain range of Bejan number. Code validation is performed, and the results align with existing literature.

Study on the phase transition characteristics of nano-hydrated salts based on molecular dynamics simulations

Hydrated salts possess great competitiveness in terms of enhancing utilization efficiency of heat due to large densities of heat storage and low costs. However, the existence of supercooling degree is the common phenomenon for hydrated salts, which might restrict the application prospects in partial fields. This work focuses on hydrated salts with relatively larger latent heats, namely Na2CO3·10H2O and Na2HPO4·14H2O in the absence and presence of SiO2 as well as eutectic hydrated salt prepared with 40 wt% Na2CO3·10H2O and 60 wt% Na2HPO4·12H2O. Their melting/solidification temperatures were determined and the supercooling behavior was analyzed based on molecular dynamics simulations. The simulation results of melting/solidification temperatures present small deviations of 0.17–3.24 ℃ in comparison with experimental data. Additionally, the aggregation phenomenon among salt ions and dispersion phenomena among water molecules and between water molecules and salt ions for supercooled liquid hydrated salts are revealed, which are attributed to stronger electrostatic interactions and weaker van der Waals interactions as well as lower binding energies. Moreover, SiO2 not only lowers melting temperatures due to its higher thermal conductivity than hydrated salts and the existence of micro-convection, but affects solidification behavior of hydrated salts. The different influences of SiO2 on solidification temperatures of Na2HPO4·14H2O and Na2CO3·10H2O were associated with dispersion degree between water molecules and salt ions around SiO2, which would be attributed to different strengths of interaction forces between SiO2 and salt ions. On these bases, this work provides new perspectives for clarifying phase change characteristics of nano-hydrated salts.

Metallic wood-based phase change material with superior anisotropic thermal conductivity and energy storage capacity

In this study, metallic wood-based phase change material (MWM) with high performance anisotropic thermal conductivity and energy storage capacity was developed by impregnating wood with myristic acid, and subsequent introducing low melting point alloy (LMA) into the wood through a facile alternating high and low temperature heat treatment. The heat-driven LMA was rapidly squeezed into the cell lumens of the wood so as to effectively inhibit the leakage of the internal myristic acid during melting. Benefited with the well-aligned and hierarchical porous structure, the filled LMA formed a continuous heat transfer network along the highly oriented transport tissue of wood, which could greatly reduce the interfacial thermal resistance and promote heat transfer. Compared with untreated wood, the thermal conductivity of MWM in longitudinal and radial directions were improved by more than 67 % and 75 %, respectively. In addition, it exhibited superior energy storage capability, with the latent heat of 90.23 J/g and 86.42 J/g during melting and solidification. The thermal stability and anti-leakage performance were satisfied. The phase change temperatures, enthalpies and chemical structure of MWM remained unchanged after 100 thermal cycles, demonstrating outstanding cycling reliability. With excellent energy storage performance and favourable thermal conductivity, the prepared MWM shows a promising application in energy saving buildings and solid wood floors.

Graphene Oxide and Based Materials: Synthesis, Properties, and Applications – A Comprehensive Review

Graphene-based materials have garnered significant interest in the burgeoning field of contemporary flexible and bendable technologies. Graphene has emerged as a prime candidate for the development of flexible electronics due to its outstanding electrical, mechanical, and optical properties, coupled with the ease of functionalizing its derivatives. This review provides an exhaustive analysis of the latest advancements in the synthesis and applications of graphene-based composites. Exceptional properties of Graphene including high thermal conductivity, chemical stability, optical transparency, high current density, and increased surface area, have broad implications across thermodynamics, chemistry, optics, and mechanics. The growing use of graphene oxide materials across various industries has fueled a surge in interest. The synthesis of graphene oxide compounds follows established procedures such as those by Brodie, Staudenmaier, and Tour, with ongoing discussions on large-scale production using various oxidants. Recent developments have led to numerous new, enhanced, and modified Hummers techniques for producing graphene oxide. Graphene oxide (GO) serves as a crucial foundational material for a wide range of applications, including energy storage, water purification, and as a composite in biosensors, electronics, and hazardous gas removal. This review delves into these applications, highlighting GO’s role in improving the efficiency and performance of these technologies. Additionally, the paper addresses the current challenges and obstacles in the development and application of graphene, providing insights into potential solutions and future research directions. By offering a comprehensive and practical database, this review aims to facilitate the future development of graphene-based composite materials, driving innovation and advancements in various high-impact applications.

High Thermal Conductivity Polyelectrolyte Nanocomposite Electrical Insulation Thin Films

AbstractHigh‐power electronics require thin, conformal insulation that resists dielectric breakdown, while promoting removal of heat from the device. Recently, polyelectrolytes have shown promise in creating dielectric thin films, but their thermal conductivity remains relatively low (&lt;1 W m−1 K−1). In this work, the layer‐by‐layer (LbL) assembly of polyethylenimine, mica clay, poly(acrylic acid), and hexagonal boron nitride is exploited to create a thin film dielectric material with relatively high thermal conductivity (through‐plane thermal conductivity of 1.87 ± 0.03 W m−1 K−1) and strong electrical insulation (breakdown strength of 152 kV mm−1). High thermal conductivity is obtained due to mica and hexagonal boron nitride nanoplatelets stretching through multiple layers. The performance benefits of this nanocomposite are demonstrated with a partial motor, where the nanocomposite greatly reduces the peak temperature of the motor when compared to state‐of‐the‐art polyimide insulation. This remarkable combination of thermal conductivity and dielectric breakdown strength represents a significant advancement in the electrical and thermal protection of high voltage devices.

Boosting the Mechanical and Thermal Properties of CUG-1A Lunar Regolith Simulant by Spark Plasma Sintering

The mechanical and thermal properties of the fabricated structures composed of lunar regolith are of great interest due to the urgent demand for in situ construction and manufacturing on the Moon for sustainable human habitation. This work demonstrates the great enhancement of the mechanical and thermal properties of CUG-1A lunar regolith simulant samples using spark plasma sintering (SPS). The morphology, chemical composition, structure, mechanical and thermal properties of the molten and SPSed samples were investigated. The sintering temperature significantly influenced the microstructure and macroscopic properties of these samples. The highest density (~99.7%), highest thermal conductivity (2.65 W·m−1·K−1 at 1073 K), and the best mechanical properties (compressive strength: 370.2 MPa, flexural strength: 81.4 MPa) were observed for the SPSed sample sintered at 1273 K. The enhanced thermal and mechanical properties of these lunar regolith simulant samples are attributed to the compact structure and the tight bonding between particles via homogenous glass.

Critical Review on Effect of CI Engine Performance and Emission from Nano Particle Blended Biodiesel Combustion at various fuel injection pressures

In recent years, Due to the depletion of petroleum reserves and rising environmental concerns, alternative fuels have attracted a lot of attention. This study investigates the combustion, emissions, and performance properties of diesel engines running on biodiesel-diesel blends. Recent developments in nanotechnology have made it possible to use fuel injection pressures and nanoparticle fuel additives in internal combustion engines. By adding nanoparticles to biodiesel-diesel blends, the amount of brake specific fuel is reduced. Additionally, nanoparticles have a high thermal conductivity, which improves combustion and brake performance . According to the reviews, NOx emissions increased while HC, CO, and PM emissions reduced. The results show that biodiesel and biodiesel blends as a fuel for CI engines might significantly enhance performance while reducing emissions by adding nanoparticles and fuel injection pressures.

Tailoring Ni/Fe Doping for Superior Thermoelectric Performance of Zr2Ni2−xFexSnSb (x = 0.30, 0.35, 0.40) High‐Entropy Alloys

Half‐Heusler (hH) compounds are emerging as promising materials for thermoelectric applications, owing to their exceptional mechanical and thermal stability, combined with the absence of toxic elements. These characteristics make hH compounds an attractive subject for detailed study and potential use in advanced thermoelectric systems. However, its thermoelectric applicability is limited because of high lattice thermal conductivity (κl). Various strategies, such as phase separation, grain‐boundary scatterings, and electron–phonon interactions, have been used to reduce κl, which enhances phonon scatterings. Recently, high‐entropy hH alloys have gained significant attention due to their distorted structure that inherently incorporates high phonon scattering features, addressing the key issue of hH. Herein, hH high‐entropy alloys (Zr2Ni2−xFexSnSb; x = 0.30, 0.35, 0.40) have been synthesized by arc melting and heat treatment. A significantly reduced lattice thermal conductivities (&lt;2.25 W mK−1 at 985 K) are obtained due to the presence of multicomponents, which scatter phonon significantly. Experimental observation is very well complimented with density functional theory findings by analyzing phonon dispersions, chemical bonding, group velocities, and anharmonicity. Thereby, it is demonstrated that a high thermoelectric figure of merit is achieved in the proposed hH high‐entropy alloys by strengthening the phonon scatterings.

Giant Inverse Barocaloric Effect of Ferroelectric Salts Driven by Negative Thermal Expansion

AbstractRefrigeration technologies based on the barocaloric effect have garnered significant attention, while their potential applications are limited by the poor performance of current materials. Here it is proposed that ferroelectric ionic salts with covalent‐like bondings like LiI may become ideal candidates. The pressure‐induced phase transition between two phases with distinct densities and entropies leads to tremendous negative thermal expansion (with volume reduced by 13%) and inverse barocaloric effect, which are facilitated by the low transition barriers due to the long‐range Coulomb interaction. Using ab initio‐based training database, we trained the machine learning potential of LiI based on a deep neutral network‐based mode, and this simulations of its barocaloric effect reveal a high entropy change and thermal conductivity, and in particular, the estimated adiabatic temperature change, pressure sensitivity and relative cooling power are all unprecedented. This prediction provides a high‐performance barocaloric mechanism for practical applications and also expands the scope of barocaloric materials to simple and facile binary salts.

Study on the improvement of geothermal cement properties by nanofluid composed of deep eutectic solvent and graphene oxide

Guided by the goal of improving the heat transfer efficiency of geothermal cement, the development of high thermal conductivity fillers is urgently needed. Considering the drawbacks of carbon-based fillers in deteriorating the strength and fluidity of cement, this study proposes the use of green and low-cost deep eutectic solvents (DES) loaded with graphene oxide to form nanofluids (GONF) to improve the connection between graphene oxide and cement. The thermal conductivity and basic properties of GONF-cement under thermal storage conditions (60–100 °C, 0–36%NaCl) were reported, and the influence mechanism of nanofluids was analyzed. The following interesting conclusions were found: (1) The oxygen-containing functional groups on the surface of graphene oxide were connected to active sites of DES through the formation of the hydrogen bond network, forming thermal stable nanofluids. (2) Nanofluids was proven to be a low-cost (reduce material costs of graphene oxide by 90%) and effective material for enhancing the thermal conductivity and mechanical properties of geothermal cement while maintaining appropriate fluidity and low variation of density. (3) The synergistic mechanism between nanofluids and cement is due to the fact that nanofluids promotes hydration process by providing stable reaction sites, significantly reducing the porosity and pore size of cement. The dense structure enhances compressive strength and shortens the heat transfer path. This study enriches geothermal cementing technology and provides support for the low-cost application of graphene oxide in exploration engineering.

Homeostatic Microfiber-Composed Synthetic Leathers with Chemical Robustness and Undercooling Self-Regulation.

Homeostatic microfiber leathers with temperature self-regulation promise broad applications, ranging from the apparel and automotive interior industries to the home furnishing and healthcare industries. Temperature self-regulation is achieved by phase-change materials containing microcapsules introduced within the leathers. The introduction of phase change microcapsules (PCMs) into microfiber leather faces two formidable challenges: (1) the shell of microcapsules must remain chemically stable against alkalis and organic solvents; (2) PCMs possess the ability to reduce supercooling during which latent heat is released, allowing for the precise and controllable release of latent heat. Here we present a high-performance homeostatic microfiber-composed synthetic leather containing PCMs that can address these two challenges, which not only demonstrate exceptional chemical robustness under alkaline conditions but also offer efficient and precise control over temperature fluctuation and latent heat release by reducing supercooling. Titanium carbide (TiC) known for its high thermal conductivity and alkali resistance has been selected as the shell material for the microcapsules, which can effectively resolve chemical stability issues. Meanwhile, the high thermal conductivity of TiC can be leveraged to enhance heterogeneous nucleation, thus narrowing the temperature range for latent heat release. The resultant microfiber leather shows outstanding capabilities for adjustable thermal energy storage. Our studies offer an effective approach to create homeostatic microfiber-composed synthetic leathers with chemical robustness and undercooling self-regulation, which would be useful in the fields of the textile, biomedical, and healthcare industries.

An enhanced heat transfer method based on the electrocapillary effect of gallium-based liquid metal.

As electronic products become smaller and more powerful, there is an increasing need for effective heat dissipation. An effective heat exchange method is necessary for the equipment to function reliably in a compact space. To tackle the limitations of current microfluidic cooling technology, including difficulty in manufacturing, maintenance, and cost reduction, a heat exchange method with a simple system is proposed in this work. This method is based on the electrocapillary effect, using eutectic gallium-indium alloy droplets with high thermal conductivity, surface tension, and controllability as the basic unit. An electric field is applied to generate unevenly distributed charges in the electric double layer on the droplet surface, thereby creating a surface tension gradient that can drive the surrounding solution to flow. Simultaneously, the oscillation of the droplet can also intensify the disturbance of the solution. The violent disturbance of the solution causes the heat transfer mode to change from conduction to convective heat transfer and greatly reduces the thermal resistance, resulting in a substantial increase in heat flux. For this heat transfer method, the temperature distribution and flow characteristics of the solution in low-frequency oscillating and direct-current-biased alternating current electric fields are studied, and the effect of voltage, frequency, and the number of droplets on heat transfer enhancement is clarified. Compared with conduction without internal disturbance, the heat flux can be increased by up to 110% based on the combined effect of two droplets. This work provides a solution for enhancing the heat transfer of microfluidics.

High Thermal Conductive Crystalline Organohalide for Endurable Resistive Switching Non-Volatile Memory.

The organic-based memristive devices are widely studied as a next-generation electronics for eco-friendly wearable applications, thanks to materials` flexibility and biocompatibility. However, poor operational reliability and stability of the devices remain a critical challenge. Here, the study demonstrates a crystalline organohalide, Dabconium ammonium triiodide (DABCO-NH4-I3, DABCO is 1,4-diazabicyclo[2.2.2] octonium)-based memristive device with exceptionally high reliability and endurance. Owing to the low dielectric constant and anisotropic hexagonal crystal structure consisting of hydrogen bonds with a high bandgap, the DABCO-NH4-I3-based conductive bridging random access memory device demonstrates millivolt-scale operating voltages with a remarkably high on/off ratio of ≈109, capable of multi-level storage. The relatively higher thermal conductivity of the crystalline organohalide (1.06Wm-1K-1), compared to most of organic materials (0.1-0.5Wm-1K-1), is found to be beneficial to suppress intense heat accumulation generated by Joule heating effect during device operation. With the facilitated dissipation of the generated heat, the simple planar heterojunction structured device shows remarkably endurable resistive switching over 103 cycles of program-erase at both room temperature and 85 °C with high switching reliability. This study introduced a new class of materials that can overcome the limitations of existing organic materials for high-performance next-generation organic electronic devices.

Thermal Hydraulic Performance and Characteristics of a Microchannel Heat Exchanger: Experimental and Numerical Investigations

Abstract This paper presents extensive fluid flow and Heat Transfer studies conducted through an experimental setup followed by a detailed three-dimensional (3D) numerical analysis of the same setup using a commercial package for computational fluid dynamics (CFD), known as cfd-ace® for additive-manufactured counterflow AlSi10 Mg microchannel heat exchangers (MCHEs). A detailed 3D computational model of the experimentally tested MCHEs was built and analyzed using the commercial software cfd-ace® for the same experimentally tested operating conditions. The computational model results are in good agreement with experimental data of tested MCHE within +2% to +7% and ∼0% to −13.5% variation for cold and hot fluids for the entire set of design of experiments (DoEs). This percentage disagreement may be due to various factors, such as manufacturing deviation within tolerance, longitudinal conduction, variation in the thermal conductivity of the material after heat treatment, variation in environmental temperature, sensor deviation, and surface roughness of internal channels. Instead of Stainless steel (SST), AlSi10 Mg was used because of its lower manufacturing cost because AlSi10 Mg was lighter than SST, though its thermal conductivity is almost ∼8–10 times more than that of SST. A higher thermal conductivity is not good for MCHEs because it leads to higher longitudinal conduction, which eventually degrades the performance of MCHEs in terms of effectiveness. MCHE effectiveness is also reduced by ∼12% to 18% owing to longitudinal conduction from ideal effectiveness.

Achieving Large and Anisotropic Spin‐Mediated Thermal Transport in Textured Quantum Magnets

AbstractSpin excitations, including magnons and spinons, can carry thermal energy and spin information. Studying spin‐mediated thermal transport is crucial for spin caloritronics, enabling efficient heat dissipation in microelectronics and advanced thermoelectric applications. However, designing quantum materials with controllable spin transport is challenging. Here, highly textured spin‐chain compound Ca2CuO3 is synthesized using a solvent‐cast cold pressing technique, aligning 2D nanostructures with spin chains perpendicular to the pressing direction. The sample exhibits high thermal conductivity anisotropy and an excellent room‐temperature thermal conductivity of 12 ± 0.7 W m−1 K−1, surpassing all polycrystalline quantum magnets. Such a high value is attributed to the significant spin‐mediated thermal conductivity of 10 ± 1 W m−1 K−1, the highest reported among all polycrystalline quantum materials. Analysis through a 1D kinetic model suggests that near room‐temperature, spinon thermal transport is dominated by coupling with high‐frequency phonons, while extrinsic spinon‐defect scattering is negligible. Additionally, this method is used to prepare textured La2CuO4, exhibiting highly anisotropic magnon thermal transport and demonstrating its broad applicability. A distinct role of defect scattering in spin‐mediated thermal transport is observed in two spin systems. These findings open new avenues for designing quantum materials with controlled spin transport for thermal management and energy conversion.

Structural performance of boards through nanoparticle reinforcement: An advance review

Abstract Under the turbulence of global change, the production of boards has been influenced by the rising demand and price of wood-based materials. To improve the structural performance of boards, reinforcement materials have been added, such as nanoparticles. The purpose of this review is to explore the application of nanomaterials, including nano-SiO2, nano-Al2O3, nano-ZnO, nano-Fe2O3, nano-cellulose, nano-lignin, and nano-chitosan, to evaluate the physical and mechanical properties of particleboards. These nanoparticles have demonstrated their ability to reduce formaldehyde emissions, enhance the dimensional stability, bending strength, bending stiffness, fire resistance, and resistance to thermal conductivity in board production. For example, the addition of nano-SiO2, known for its hydrophilicity, attracts and holds water molecules and acts as a thermal barrier due to its high melting point and low thermal conductivity. In contrast, nano-Al2O3 is known for its high compressive strength (up to 3 GPa), hardness strength (9 Mohs scale), and high thermal conductivity, which helps to dissipate heat more effectively. This comprehensive evaluation brings together recent advances in producing particleboards and medium density fiberboard reinforced with nanoparticles, which are essential for future research and industry applications. The study emphasizes how innovative nanoparticles can contribute to sustainable urban development and construction practices, reduce deforestation, preserve natural habitats, and provide affordable housing. The research indicates that nanoparticle boards meet (e.g., nanoclay and nanoalumina panels) and in some cases exceed the minimum requirement for general-purpose panels set standards such as the ANSI/A208.1-1999, including water absorption of 8%, thickness swelling of 3% and EN 312 for the bending strength (15–16 MPa) and bending stiffness (2.2–2.4 GPa) for P4 and P6 boards, respectively. These results support the transformative power of nanomaterials in promoting a more sustainable and future solution for boards in the building construction industry.