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Research on Seismic Test and Calculation Model for Improving Factor of Composite Board with Heat Preservation Function
Published 2021-01-01“…Since the composition and stress state of thermal-insulation composite plates are extremely complex, it is difficult to conduct calculation using conventional methods. …”
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Experimental and numerical analysis of heat transfer in polymer composites with metallic inclusions using virtual element method
Published 2025-07-01“…In the 50 % iron sample, the error rose to 20 %, likely due to the formation of idealized thermal chains in the numerical mesh, which may not fully develop in the actual material.…”
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Research on predicting the thermocompression deformation behavior of Mg–Li matrix composite using machine learning and traditional techniques
Published 2024-11-01“…The flow stresses were predicted under various thermal operating conditions, and the performance of all models was assessed using root mean square error (RMSE), coefficient of determination (R2) and mean absolute error (MAE). …”
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A Comprehensive Analysis of the Loss Mechanism and Thermal Behavior of a High-Speed Magnetic Field-Modulated Motor for a Flywheel Energy Storage System
Published 2025-05-01“…Our optimized design, implementing composite rotor structures, dual-material permanent magnets, and integrated thermal management solutions, achieves a 43.2% reduction in total electromagnetic losses, with permanent magnet eddy current losses decreasing by 68.7%. …”
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Machinability analysis of LM26 aluminium metal matrix composites reinforced with graphite and fly ash using the AWJM process
Published 2025-07-01“…Abstract The incorporation of various reinforcements in aluminium composites markedly improves their thermal, mechanical, and wear characteristics when compared to composites with a single reinforcement. …”
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Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty
Published 2025-07-01“…This model reduced the root mean square error (RMSE) of LST retrieved from geostationary satellites from 6.02 °C to 2.97 °C, significantly enhancing retrieval accuracy. …”
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Evaluation Method of Shale Brittleness Based on Multiple Influencing Factors
Published 2024-10-01“…Starting from the factors influencing shale brittleness, a comprehensive evaluation model for shale brittleness is constructed based on the analytic hierarchy process, encompassing five dimensions: mineral composition, pore structure, organic matter content, formation temperature, and thermal maturity. …”
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Assessment on electrical discharge machining of ultrasonication assisted stir-casted AA8081-B4C-Gr hybrid composites and prediction using Levenberg-Marquardt technique
Published 2025-07-01“…An intense thermal load and spark energy develop gradual electrode erosion. …”
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Development and optimization of pearl millet waste biocomposite ceiling tiles: a waste management approach
Published 2025-07-01“…The optimized composition for minimum thermal conductivity (0.065 W/m·K) was identified as 45% PMSC and 10% gypsum at 12 mm thickness. …”
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Spatial regression analysis of land use impact on land surface temperature in four East Asian metropolises
Published 2025-07-01“…Abstract The escalating impact of global climate change on the urban heat island effect presents a significant challenge for sustainable urban planning and the preservation of thermal comfort in metropolitan areas. The impact of land use composition on land surface temperature varies across different locations and climate zones. …”
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Multi-Objective Optimization Design of Foamed Cement Mix Proportion Based on Response Surface Methodology
Published 2025-08-01“…This study provides support for the practical application of foam cement as a thermal insulation material in construction projects and offers guidance for optimizing its mixture composition.…”
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Copolymers of N-(4-bromophenyl)-2-methacrylamide with 2-hydroxyethyl methacrylate
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The Impact of Velocity Update Frequency on Time Accuracy for Mantle Convection Particle Methods
Published 2024-07-01“…Accordingly, they may be used to efficiently compute solutions to within modest error tolerances. For small error tolerances, however, ERK4 was the most efficient.…”
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Performance analysis of dual-fuel engines using acetylene and microalgae biodiesel: The role of fuel injection timing
Published 2024-12-01“…To predict engine performance and emission characteristics, advanced machine learning models were employed and evaluated using four statistical criteria, including R-squared, mean absolute error (MAE), and mean squared error (MSE). Experimental results indicated that the optimal configuration involved a dual-fuel mode combining B20 MEOA with acetylene gas and an advanced FIT of 25° before top dead center (bTDC). …”
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Thermodynamic coupling performance analysis and simulation of aerated oil medium steel-BMC joint surface
Published 2024-12-01“…In order to study the thermal coupling properties of aerated oil medium steel-basalt mineral composite (BMC) joint surface and establish an accurate and convenient simulation analysis method. …”
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Experimental studies on latent heat capacity of hybrid nano-enhanced phase change materials using artificial neural network for energy storage applications
Published 2025-12-01“…The optimal composition, consisting of 1 wt% CuO and 0.3 wt% TiO₂, demonstrated an initial latent heat capacity of 117 J/g, which increased to 123 J/g post-cycling, indicating exceptional thermal stability and phase retention. …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage
Published 2025“…The firing stage is a critical phase in ceramic tile production, where the interplay of raw material composition and thermal treatment determines essential properties such as water absorption (WA) and bending strength (BS). …”
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