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  • Open Access

    ARTICLE

    Artificial Neural Network Model for Thermal Conductivity Estimation of Metal Oxide Water-Based Nanofluids

    Nikhil S. Mane1, Sheetal Kumar Dewangan2,*, Sayantan Mukherjee3, Pradnyavati Mane4, Deepak Kumar Singh1, Ravindra Singh Saluja5

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.072090 - 10 November 2025

    Abstract The thermal conductivity of nanofluids is an important property that influences the heat transfer capabilities of nanofluids. Researchers rely on experimental investigations to explore nanofluid properties, as it is a necessary step before their practical application. As these investigations are time and resource-consuming undertakings, an effective prediction model can significantly improve the efficiency of research operations. In this work, an Artificial Neural Network (ANN) model is developed to predict the thermal conductivity of metal oxide water-based nanofluid. For this, a comprehensive set of 691 data points was collected from the literature. This dataset is split More >

  • Open Access

    ARTICLE

    Sustainable Egg Packaging Waste Biocomposites Derived from Recycled Wood Fibers and Fungal Filaments

    Ilze Irbe1,*, Laura Andze1, Inese Filipova1,2

    Journal of Renewable Materials, Vol.13, No.11, pp. 2139-2154, 2025, DOI:10.32604/jrm.2025.02025-0107 - 24 November 2025

    Abstract Growing environmental concerns and the need for sustainable alternatives to synthetic materials have led to increased interest in bio-based composites. This study investigates the development and characterization of sustainable egg packaging waste (EPW) biocomposites derived from recycled wood fibers and fungal mycelium filaments as a natural binder. Three formulations were prepared using EPW as the primary substrate, with and without the addition of hemp shives and sawdust as co-substrates. The composites were evaluated for granulometry, density, mechanical strength, hygroscopic behavior, thermal conductivity, and fire performance using cone calorimetry. Biocomposites, composed exclusively of egg packaging waste,… More >

  • Open Access

    ARTICLE

    Experimental Study on Properties of Nano-Silicon Modified Microencapsulated Phase Change Materials Mortar

    Jian Xia1,2, Xianzhong Hu1, Yan Li1, Wei Zhang3,*

    Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1489-1506, 2025, DOI:10.32604/sdhm.2025.065997 - 17 November 2025

    Abstract Incorporating microencapsulated phase change materials (MPCM) into mortar enhances building thermal energy storage for energy savings but severely degrades compressive strength by replacing sand and creating pores. This study innovatively addresses this critical limitation by introducing nano-silicon (NS) as a modifier to fill pores and promote hydration in MPCM mortar. Twenty-five mixes with varying NS content from 0 to 4 weight percent and different MPCM contents were comprehensively tested for flowability, compressive strength, thermal conductivity, thermal energy storage via Differential Scanning Calorimetry, and microstructure via Scanning Electron Microscopy. Key quantitative results showed MPCM reduced mortar… More >

  • Open Access

    ARTICLE

    Numerical Analysis of Heat and Mass Transfer in Tangent Hyperbolic Fluids Using a Two-Stage Exponential Integrator with Compact Spatial Discretization

    Mairaj Bibi1, Muhammad Shoaib Arif 2, Yasir Nawaz3, Nabil Kerdid4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 537-569, 2025, DOI:10.32604/cmes.2025.070362 - 30 October 2025

    Abstract This study develops a high-order computational scheme for analyzing unsteady tangent hyperbolic fluid flow with variable thermal conductivity, thermal radiation, and coupled heat and mass transfer effects. A modified two-stage Exponential Time Integrator is introduced for temporal discretization, providing second-order accuracy in time. A compact finite difference method is employed for spatial discretization, yielding sixth-order accuracy at most grid points. The proposed framework ensures numerical stability and convergence when solving stiff, nonlinear parabolic systems arising in fluid flow and heat transfer problems. The novelty of the work lies in combining exponential integrator schemes with compact… More >

  • Open Access

    ARTICLE

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

    Andris Berzins1,2, Ramunas Tupciauskas1,*, Gunars Pavlovics1, Martins Andzs1

    Journal of Renewable Materials, Vol.13, No.6, pp. 1189-1207, 2025, DOI:10.32604/jrm.2025.02024-0067 - 23 June 2025

    Abstract This study examines the development of loose-fill thermal insulation materials derived from annual plant residues, such as wheat straw, water reeds, and corn stalks, processed using the chemimechanical pulping (CMP) technique. The chopped plants were soda-cooked for 30 min, varying NaOH concentration (2%–8% on a dry basis of biomass), and mechanically refined using different disc types. The CMP process enhances the homogeneity and stability of defibrated material, yielding improved insulation properties compared to untreated chopped raw materials. Chemical analysis revealed that CMP increases cellulose content and reduces lignin levels, enhancing water retention and vapor diffusion… More > Graphic Abstract

    Development of Loose-Fill Thermal Insulation Materials from Annual Plant Residues Using Low-Concentration Chemimechanical Pulping

  • Open Access

    ARTICLE

    Experimental Study of Forced Convective Heat Transfer in a Copper Tube Using Three Types of Nanofluids

    Zahraa N. Hussain1,*, Jamal M. Ali1,*, Hasan S. Majdi2, Abbas J. Sultan1, H. Al-Naseri3

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 351-370, 2025, DOI:10.32604/fdmp.2024.056292 - 06 March 2025

    Abstract The use of nanofluids as heat transfer media represents an innovative strategy to enhance heat transfer performances. This study investigates experimentally the turbulent convective heat transfer characteristics of water-based nanofluids containing TiO2, CuO, and graphene nanoplatelet (GNP) nanoparticles as they flow through a copper tube. Both the dynamic viscosity and thermal conductivity of these nanofluids were modeled and experimentally measured across varying nanoparticle concentrations (0.01, 0.02, and 0.03 vol.%) and temperatures (25°C, 35°C, and 45°C). The findings indicate that the behavior of nanofluids depends on the parameter used for comparison with the base fluid. Notably, both More > Graphic Abstract

    Experimental Study of Forced Convective Heat Transfer in a Copper Tube Using Three Types of Nanofluids

  • Open Access

    ARTICLE

    Modeling Thermophysical Properties of Hybrid Nanofluids: Foundational Research for Future Photovoltaic Thermal Applications

    Chakar Khadija*, El Mouden Mahmoud, Hajjaji Abdelowahed

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 61-70, 2025, DOI:10.32604/fdmp.2024.053458 - 24 January 2025

    Abstract The primary objective of this study is to develop an innovative theoretical model to accurately predict the thermophysical properties of hybrid nanofluids designed to enhance cooling in solar panel applications. This research lays the groundwork for our future studies, which will focus on photovoltaic thermal applications. These nanofluids consist of water and nanoparticles of alumina (Al2O3), titanium dioxide (TiO2), and copper (Cu), exploring volumetric concentrations ranging from 0% to 4% for each type of nanoparticle, and up to 10% for total mixtures. The developed model accounts for complex interactions between the nanoparticles and the base fluid, More >

  • Open Access

    ARTICLE

    Numerical Study of Temperature-Dependent Viscosity and Thermal Conductivity of Micropolar Ag–MgO Hybrid Nanofluid over a Rotating Vertical Cone

    Mekonnen S. Ayano1,*, Thokozani N. Khumalo1, Stephen T. Sikwila2, Stanford Shateyi3

    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1153-1169, 2024, DOI:10.32604/fhmt.2024.048474 - 30 August 2024

    Abstract The present paper examines the temperature-dependent viscosity and thermal conductivity of a micropolar silver ()−Magnesium oxide () hybrid nanofluid made of silver and magnesium oxide over a rotating vertical cone, with the influence of transverse magnetic field and thermal radiation. The physical flow problem has been modeled with coupled partial differential equations. We apply similarity transformations to the non-dimensionalized equations, and the resulting nonlinear differential equations are solved using overlapping grid multidomain spectral quasilinearization method. The flow behavior for the fluid is scrutinized under the impact of diverse physical constraints, which are illustrated graphically. The More >

  • Open Access

    ARTICLE

    Bio-PCM Panels Composed of Renewable Materials Interact with Solar Heating Systems for Building Thermal Insulation

    Yosr Laatiri, Habib Sammouda, Fadhel Aloulou*

    Journal of Renewable Materials, Vol.12, No.4, pp. 771-798, 2024, DOI:10.32604/jrm.2024.047022 - 12 June 2024

    Abstract This article aims to present the feasibility of storing thermal energy in buildings for solar water heating while maintaining the comfort environment for residential buildings. Our contribution is the creation of insulating composite panels made of bio-based phase change materials (bio-PCM is all from coconut oil), cement and renewable materials (treated wood fiber and organic clay). The inclusion of wood fibers improved the thermal properties; a simple 2% increase of wood fiber decreased the heat conductivity by approximately 23.42%. The issues of bio-PCM leakage in the cement mortar and a roughly 56.5% reduction in thermal… More > Graphic Abstract

    Bio-PCM Panels Composed of Renewable Materials Interact with Solar Heating Systems for Building Thermal Insulation

  • Open Access

    ARTICLE

    Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions

    Md. Munirul Hasan1, Md Mustafizur Rahman2,*, Mohammad Saiful Islam3, Wong Hung Chan4, Yasser M. Alginahi5, Muhammad Nomani Kabir6, Suraya Abu Bakar1, Devarajan Ramasamy2

    Frontiers in Heat and Mass Transfer, Vol.22, No.2, pp. 537-556, 2024, DOI:10.32604/fhmt.2024.047428 - 20 May 2024

    Abstract A vehicle engine cooling system is of utmost importance to ensure that the engine operates in a safe temperature range. In most radiators that are used to cool an engine, water serves as a cooling fluid. The performance of a radiator in terms of heat transmission is significantly influenced by the incorporation of nanoparticles into the cooling water. Concentration and uniformity of nanoparticle distribution are the two major factors for the practical use of nanofluids. The shape and size of nanoparticles also have a great impact on the performance of heat transfer. Many researchers are… More > Graphic Abstract

    Artificial Neural Network Modeling for Predicting Thermal Conductivity of EG/Water-Based CNC Nanofluid for Engine Cooling Using Different Activation Functions

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