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  • Open Access

    ARTICLE

    Inertial Modes in a Rotating Horizontal Annulus with Boundaries of Different Temperatures and Their Effect on the Averaged Convection

    Alexey Vjatkin*, Svyatoslav Petukhov, Victor Kozlov

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.4, pp. 783-798, 2025, DOI:10.32604/fdmp.2025.062535 - 06 May 2025

    Abstract Time-averaged thermal convection in a rotating horizontal annulus with a higher temperature at its inner boundary is studied. The centrifugal force plays a stabilizing role, while thermal convection is determined by the “thermovibrational mechanism”. Convective flow is excited due to oscillations of a non-isothermal rotating fluid. Thermal vibrational convection manifests in the form of two-dimensional vortices elongated along the axis of rotation, which develop in a threshold manner with an increase in the amplitude of fluid oscillations. The objective of the present study is to clarify the nature of another phenomenon, i.e., three-dimensional convective vortices… More >

  • Open Access

    ARTICLE

    Leaders’ expectations of innovation and employees’ innovative behavior: The roles of employees’ expected positive performance outcomes and innovative self-efficacy

    Qian Ma1, Hao Zhou2,*

    Journal of Psychology in Africa, Vol.35, No.1, pp. 7-19, 2025, DOI:10.32604/jpa.2025.065775 - 30 April 2025

    Abstract Employees’ innovative performance determines an organization’s innovation, which critically impacts its structural optimization and sustainability. Applying expectancy theory, we examined how and when the Pygmalion effect occurs in the relationship between leaders’ expectations of innovation and employee innovative behavior. Our sample comprised 201 frontline employees (female = 31.84%; mean age = 41.48 years, SD = 7.97 years) in a Chinese coal enterprise, who completed surveys on innovation expectations of leaders, expected positive performance outcomes, innovative self-efficacy and innovative behavior. The results revealed that employees’ expected positive performance outcomes mediated the positive relationship between leaders’ innovation More >

  • Open Access

    ARTICLE

    Development of a Comprehensive Ground Suitability Index for Building Construction: A Case Study

    Jerome Gacu1,2,3,*, John Angelo Venus1, Cleo Faith Forio1, Leo Banay1, Eljay Soledad1, Anabeth Famini1, April Rose Fajiculay1, Aprille Ann Sim1, Jason Rufon1

    Revue Internationale de Géomatique, Vol.34, pp. 235-257, 2025, DOI:10.32604/rig.2025.063512 - 25 April 2025

    Abstract The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability, posing significant risks to structural safety and long-term development. This study addresses this critical issue by developing a Comprehensive Ground Suitability Index (CGSI) framework tailored for rural municipalities. Using Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP), the CGSI integrates geophysical, geo-environmental, and geohazard parameters to systematically evaluate land suitability for construction. Data were collected from government agencies, previous studies, and field surveys focusing on the Municipality of Odiongan, Romblon. Parameters… More >

  • Open Access

    ARTICLE

    Artificial Neural Networks for Optimizing Alumina Al2O3 Particle and Droplet Behavior in 12kK Ar-H2 Atmospheric Plasma Spraying

    Ridha Djebali1,*, Bernard Pateyron2, Mokhtar Ferhi1, Mohamed Ouerhani3, Karim Khemiri1, Montassar Najari1, M. Ammar Abbassi4, Chohdi Amri5, Ridha Ennetta6, Zied Driss7

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 441-461, 2025, DOI:10.32604/fhmt.2025.063375 - 25 April 2025

    Abstract This paper investigates the application of Direct Current Atmospheric Plasma Spraying (DC-APS) as a versatile thermal spray technique for the application of coatings with tailored properties to various substrates. The process uses a high-speed, high-temperature plasma jet to melt and propel the feedstock powder particles, making it particularly useful for improving the performance and durability of components in renewable energy systems such as solar cells, wind turbines, and fuel cells. The integration of nanostructured alumina (Al2O3) thin films into multilayer coatings is considered a promising advancement that improves mechanical strength, thermal stability, and environmental resistance. The More >

  • Open Access

    ARTICLE

    Numerical Study of Multi-Factor Coupling Effects on Energy Conversion Performance of Nanofluidic Reverse Electrodialysis

    Hao Li1, Cunlu Zhao2, Jinhui Zhou1, Jun Zhang3, Hui Wang1, Yanmei Jiao1,*, Yugang Zhao4,5,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 507-528, 2025, DOI:10.32604/fhmt.2025.063359 - 25 April 2025

    Abstract Based on the rapid advancements in nanomaterials and nanotechnology, the Nanofluidic Reverse Electrodialysis (NRED) has attracted significant attention as an innovative and promising energy conversion strategy for extracting sustainable and clean energy from the salinity gradient energy. However, the scarcity of research investigating the intricate multi-factor coupling effects on the energy conversion performance, especially the trade-offs between ion selectivity and mass transfer in nanochannels, of NRED poses a great challenge to achieving breakthroughs in energy conversion processes. This numerical study innovatively investigates the multi-factor coupling effect of three critical operational factors, including the nanochannel configuration,… More >

  • Open Access

    ARTICLE

    Flow Boiling Heat Transfer and Pressure Gradient of R410A in Micro-Channel Flat Tubes at 25°C and 30°C

    Bo Yu1,2, Yuye Luo3, Luyao Guo4, Long Huang4,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 553-575, 2025, DOI:10.32604/fhmt.2025.062851 - 25 April 2025

    Abstract This study investigates the flow boiling heat transfer coefficient and pressure gradient of refrigerant R410A in micro-channel flat tubes. Experiments were conducted at saturation temperatures ranging from 25°C to 30°C, mass fluxes between 198 and 305 kg/m2s, and heat fluxes from 9.77 to 20.18 kW/m2, yielding 99 sets of local heat transfer coefficient data. The results show that increasing heat flux and mass flux enhances the heat transfer coefficient, although the rate of enhancement decreases with increasing vapor quality. Conversely, higher saturation temperatures slightly reduce the heat transfer coefficient. Additionally, the experimental findings reveal discrepancies in More >

  • Open Access

    ARTICLE

    Experimental and Numerical Study on Flow and Heat Transfer Characteristics in Rectangular Channels with Leaf-Shaped Pin Fins

    Chao Zhang1, Runze Yan1, Honghui Li1, Qingheng Tang1, Qinghai Zhao1,2,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 421-440, 2025, DOI:10.32604/fhmt.2025.061469 - 25 April 2025

    Abstract The growing need for enhanced heat dissipation is compelling the development of more effective heat exchangers. Innovation inspired by nature bionics, four types of leaf-shaped pin fins were proposed and four combinations of them were considered. The leaf-shaped design of the cooling pin fin enhances uniformity and synergy, effectively creating an optimized flow path that boosts cooling performance. Eight three-dimensional conjugate heat transfer models in staggered arrangement were developed using ANSYS-Fluent software. Aluminum 6061 material was used as the heat sink material and single-phase liquid water flowed through the rectangular channel where the Reynolds (Re) number… More >

  • Open Access

    ARTICLE

    Conjugate Usage of Experimental for and Theoretical Models Aqua Carboxymethyl Cellulose Nanofluid Flow in Convergent-Divergent Shaped Microchannel

    Shervin Fateh Khanshir1, Saeed Dinarvand2,*, Ramtin Fateh Khanshir3

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 663-684, 2025, DOI:10.32604/fhmt.2025.060559 - 25 April 2025

    Abstract This article aims to model and analyze the heat and fluid flow characteristics of a carboxymethyl cellulose (CMC) nanofluid within a convergent-divergent shaped microchannel (Two-dimensional). The base fluid, water + CMC (0.5%), is mixed with CuO and Al2O3 nanoparticles at volume fractions of 0.5% and 1.5%, respectively. The research is conducted through the conjugate usage of experimental and theoretical models to represent more realistic properties of the non-Newtonian nanofluid. Three types of microchannels including straight, divergent, and convergent are considered, all having the same length and identical inlet cross-sectional area. Using ANSYS FLUENT software, Navier-Stokes equations… More > Graphic Abstract

    Conjugate Usage of Experimental for and Theoretical Models Aqua Carboxymethyl Cellulose Nanofluid Flow in Convergent-Divergent Shaped Microchannel

  • Open Access

    ARTICLE

    Energy-Efficient Air Conditioning System with Combined a Ceiling Fan for Thermal Comfort in an Office

    Linlan Chang1, Win-Jet Luo1,2, Indra Permana2, Bowo Yuli Prasetyo3, Alya Penta Agharid1, Fujen Wang2,*

    Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025

    Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

  • Open Access

    ARTICLE

    Short-Term Prediction of Photovoltaic Power Based on Improved CNN-LSTM and Cascading Learning

    Feng Guo, Chen Yang*, Dezhong Xia, Jingxiang Xu

    Energy Engineering, Vol.122, No.5, pp. 1975-1999, 2025, DOI:10.32604/ee.2025.062035 - 25 April 2025

    Abstract Short-term photovoltaic (PV) power forecasting plays a crucial role in enhancing the stability and reliability of power grid scheduling. To address the challenges posed by complex environmental variables and difficulties in modeling temporal features in PV power prediction, a short-term PV power forecasting method based on an improved CNN-LSTM and cascade learning strategy is proposed. First, Pearson correlation coefficients and mutual information are used to select representative features, reducing the impact of redundant features on model performance. Then, the CNN-LSTM network is designed to extract local features using CNN and learn temporal dependencies through LSTM,… More > Graphic Abstract

    Short-Term Prediction of Photovoltaic Power Based on Improved CNN-LSTM and Cascading Learning

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