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Power Engineering and Engineering Thermophysics
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Power Engineering and Engineering Thermophysics (PEET)
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ISSN (print): 2957-9627
ISSN (online): 2957-9635
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2025: Vol. 4
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Power Engineering and Engineering Thermophysics (PEET) is a distinct journal dedicated to the advanced areas of power engineering and engineering thermophysics. It uniquely bridges the gap between theoretical research and practical applications in these fields, with a focus on energy conversion, thermal system optimization, and sustainable energy technologies. PEET is an invaluable resource for professionals and researchers, providing in-depth insights into the latest developments and innovations in power engineering solutions and thermophysical principles. The journal's specialized coverage offers a blend of topics ranging from renewable energy technologies to the efficiency of thermal systems, setting it apart from other engineering publications. Published quarterly by Acadlore, the journal typically releases its four issues in March, June, September, and December each year.

  • Professional Service - Every article submitted undergoes an intensive yet swift peer review and editing process, adhering to the highest publication standards.

  • Prompt Publication - Thanks to our expertise in orchestrating the peer-review, editing, and production processes, all accepted articles are published rapidly.

  • Open Access - Every published article is instantly accessible to a global readership, allowing for uninhibited sharing across various platforms at any time.

Editor(s)-in-chief(2)
oronzio manca
Department of Engineering, University of Campania "Luigi Vanvitelli", Italy
oronzio.manca@unicampania.it | website
Research interests: Heat Transfer and Convection; Thermal Sciences and Applied Thermodynamics; Buoyancy-Driven Flows; Heat Transfer in Engineering Systems; Energy and Thermal Management; Numerical and Experimental Thermal Analysis
luca piancastelli
Department of Industrial Engineering, University of Bologna, Italy
luca.piancastelli@unibo.it | website
Research interests: Both Land and Air Vehicles; Energy Generation Systems from Renewable Sources; Advanced Vehicle Interfaces; Autonomous Driving System; Restoration of Monuments Using Additive Technologies, etc

Aims & Scope

Aims

Power Engineering and Engineering Thermophysics (PEET) is a dynamic, international open-access journal dedicated to disseminating cutting-edge research in power engineering and engineering thermophysics, including related areas. PEET's mission is to promote a multidisciplinary approach to research in engineering thermophysics, thermal engineering, power machinery, fluid machinery, and chemical process machinery, emphasizing the latest advances in these rapidly evolving fields. The journal invites diverse submissions, from in-depth reviews and research papers to concise communications and Special Issues on specific topics. PEET encourages contributions that not only delve into fundamental studies but also explore the application of these principles in related disciplines.

PEET aims to foster a detailed and expansive dialogue in scientific research, with no restrictions on paper length, allowing for full and reproducible documentation of results. Distinctive features of PEET include:

  • Every publication benefits from prominent indexing, ensuring widespread recognition.

  • A distinguished editorial team upholds unparalleled quality and broad appeal.

  • Seamless online discoverability of each article maximizes its global reach.

  • An author-centric and transparent publication process enhances submission experience.

Scope

The scope of PEET is comprehensive and detailed, addressing a wide array of specialized topics within the field:

  • Co-generation Systems: In-depth exploration of systems that simultaneously generate electricity and useful heat, focusing on efficiency, design, and technological advancements.

  • Building Energy Efficiency: Detailed studies on methods and technologies to reduce energy consumption in buildings, including passive and active strategies, energy management systems, and sustainable building materials.

  • Chemical Process Machinery: Analysis of the machinery used in chemical processes, focusing on design improvements, efficiency enhancements, and safety considerations.

  • Biomass Gasification Power Generation: Examination of biomass as a sustainable source for power generation, including process optimization, gasification technologies, and environmental impact assessments.

  • Heat Transfer in Cryogenic Systems: Studies on the heat transfer mechanisms in systems operating at extremely low temperatures, with applications in space technology, superconductivity, and liquefied natural gas.

  • Combustion Thermophysics of Coal: Research on the combustion properties of coal, including flame dynamics, emission control, and efficiency optimization.

  • Energy Utilization in Refrigeration and Air Conditioning: Investigations into the efficiency and environmental impact of refrigeration and air conditioning systems, including alternative refrigerants and advanced cooling technologies.

  • Photocatalytic Hydrogen Production: Exploration of hydrogen production methods using photocatalysis, focusing on catalyst development, reaction mechanisms, and system design.

  • Nano/Microsystem Temperature Delivery: Study of temperature control and management in nano and microsystems, relevant in semiconductor manufacturing, microfluidics, and nanotechnology.

  • Thermal Engineering: Broad research into thermal processes in engineering, including heat exchangers, thermal insulation, and system design for industrial applications.

  • Thermodynamic Cycle Theory and System Simulation: Advanced theoretical analysis and computer simulations of thermodynamic cycles, with applications in power plants, refrigeration cycles, and heat pumps.

  • Thermofluid Mechanics and Turbomachinery: Investigations into the fluid mechanics and dynamics in turbomachinery, including turbines, compressors, and pumps, focusing on performance optimization and design innovations.

  • Power Machinery and Engineering: Research on machinery used in power generation, transmission, and distribution, with a focus on technological advancements, reliability, and sustainable practices.

  • Fluid Machinery and Engineering: Studies on the design, operation, and optimization of fluid machinery, including hydraulic systems, fluid dynamics, and flow control technologies.

  • Engineering Thermophysics: Exploration of the physical principles in engineering processes, focusing on energy transfer, thermodynamic properties, and material behaviors at various temperatures.

  • Solar Energy Utilization: Innovative research on capturing and utilizing solar energy, including photovoltaic systems, solar thermal technologies, and solar power plant efficiency.

  • Oil Alternatives: Investigation of alternative energy sources to oil, including biofuels, hydrogen energy, and synthetic fuels, focusing on sustainability and environmental impact.

  • Fuel Cells: Advanced research in the development and application of fuel cell technologies, including materials, design, and system integration for various applications.

  • New Energy Vehicles: Exploration of electric, hybrid, and alternative fuel vehicles, focusing on energy systems, battery technologies, and infrastructure development.

  • Electric Vehicle Multi-Energy Power Control Systems: Study of control systems in electric vehicles for managing multiple energy sources, focusing on efficiency, integration, and smart grid compatibility.

  • Internal Combustion Engine Combustion and Emission Control: Innovations in internal combustion engines, addressing combustion efficiency, emission reduction technologies, and alternative fuels.

  • Automotive Powertrain and Control: Research on automotive powertrain systems, including advancements in transmission systems, drivetrain technologies, and vehicle dynamics control.

Articles
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Hydraulic fracturing is a core stimulation technology for unconventional oil and gas development, in which proppants play a decisive role in sustaining fracture conductivity. As fracturing operations extend toward deep reservoirs, high-temperature and high-pressure (HTHP) environments, and complex fracture networks, the mechanical response, transport behavior, and coupled interactions among proppants, fracturing fluids, and rock formations exhibit pronounced multiscale and multiphysics characteristics. These coupled processes constitute a fundamental constraint on the long-term stability of fracture conductivity. This review focuses on the formation and evolution of proppant-supported fracture conductivity and systematically examines the material characteristics and applicable conditions of different proppant types. From a multiscale perspective, four core mechanisms governing proppant behavior during hydraulic fracturing are synthesized: physical support and embedment–crushing processes under fracture closure; compaction-induced conductivity degradation within proppant packs; thermofluid-dynamic controls on proppant settling and migration inside fractures; and cooperative transport mechanisms between proppants and fracturing fluids that sustain long-term conductivity. The effects of cyclic loading, HTHP environments, and fluid rheology on the coupled behavior of the proppant–fluid–rock system are further analyzed. Current limitations are identified in predicting mechanical behavior under extreme conditions, constructing multiscale coupled models, and bridging laboratory-scale observations with field-scale performance. Recent progress in multiscale multiphysics modeling and proppant design is summarized, and future research directions at the intersection of engineering thermophysics and energy engineering are outlined. The review provides a theoretical basis for proppant selection, conductivity evaluation, and efficient development of unconventional reservoirs.

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The digitalization of vehicles has accelerated the adoption of touchscreen-based control systems and with the growing push toward full electrification of national vehicle fleets. Their combined implications for driver distraction, road safety, and the electrical infrastructure required to support large-scale vehicle electrification remain insufficiently addressed. The present study offers an essential cross-sector perspective for contemporary resilience planning by combining human-factors analysis with system-level energy considerations. This study investigates these issues by examining both the human-machine interaction demands imposed by touchscreen-centric interfaces and the energetic and infrastructural consequences of replacing all gasoline-powered passenger cars in Italy with battery electric vehicles. The methodology integrates a numerical model of driver visual distraction with empirical findings from recent eye-gaze studies. Touchscreen interactions are decomposed into phases of visual reorientation, cognitive decision-making, pointing movement, actuation, and refocusing. This framework allows estimation of total eyes-off-road time and the corresponding blind-driving distance. Model outcomes are systematically compared with measured interaction durations from controlled experimental studies. The results show that touchscreen interactions require significantly longer visual engagement than predicted by idealized human-machine interaction models, particularly for multi-step tasks such as navigation and address entry. In parallel, national fuel consumption data are used to approximate the annual distance traveled by gasoline vehicles on Italian motorways and ordinary roads. These distances are converted into electrical energy demand using representative consumption values, and the associated average and installed charging powers are computed for fast-charging, slow public charging, and universal home-charging scenarios. From an energy-system perspective, replacing all gasoline vehicles with electric vehicles would require charging power levels that exceed the current Italian peak electrical load by a wide margin, especially under a full home-charging configuration. Overall, the findings suggest that touchscreen-based interfaces lead to significant increases in driver workload, while large-scale fleet electrification imposes substantial demands on the national power system. These results underscore the need for safer interface designs and for electrification strategies that incorporate human, infrastructural, and system-level constraints.
Open Access
Research article
Characterization and Durability of Cool Materials: Standard Methodologies for the Evaluation of Thermal Performance of New and Aged Products
chiara ferrari ,
marco puglia ,
nicolò morselli ,
simone pedrazzi ,
giulio allesina ,
mauro a. corticelli ,
paolo tartarini ,
alberto muscio
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Available online: 08-13-2025

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This study highlights how the analysis of the long-term performance of solar reflective materials used both as roofing and flooring solutions to mitigate urban overheating has recently become more important. European and Italian legislations focus just on initial properties, but actual energy efficiency depends on durability over time. The objective is the development and the validation of characterization methodologies that consider performance degradation due to aging, providing reliable guidance for designers and policy makers. This study integrates standard thermophysical characterization methods with natural and accelerated aging protocols. Solar reflectance (SR) measurements can be performed by using ultraviolet-visible-near-infrared spectrophotometer, solar spectrum reflectometer and pyranometer/albedometer, while thermal emissivity can be measured with infrared emissometers. Natural aging was implemented at the Energy Efficiency Laboratory structure of the University of Modena and Reggio Emilia, operational since 2017. Accelerated methods include the standard protocol for surface soiling and an innovative method for biological growth. The analysis reveals significant degradations in SR, with reductions of between 10% and 40% after three years of natural exposure. Bituminous membranes show the most marked degradation, while ceramic materials present the best stability. Accelerated methods show interesting correlations with natural aging. The doubling of the standard accelerated cycle, designed on North American climatic conditions, is more representative of European climatic conditions characterized by greater air pollution. It must be recalled that evaluation based just on initial performance significantly underestimates long-term behaviour. The results suggest the need to update regulations by introducing requirements based on post-ageing performance. New materials design should be focus on durability by integrating into new materials both self-cleaning properties and improved stability over time. While, during design process, materials with certified long-term stability, analyzed through durability and degradation analysis should be considered in energy and economic assessments.

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Urban Heat Island (UHI) effects are increasingly recognised as a major challenge for climate resilience, urban sustainability, and public health. Buildings play a dual role: they are highly vulnerable to overheating while simultaneously contributing to urban heat through energy use and anthropogenic emissions. This review explores the modelling of UHI phenomena across scales, from single-building dynamic energy simulations to Urban Building Energy Models capable of capturing interactions between the built environment and the urban microclimate. Particular attention is given to the drivers of UHI formation, the development of modelling tools such as Urban Weather Generator (UWG), and the growing need for harmonised methodologies and standards, including recent World Meteorological Organization (WMO) guidance. The article highlights the link between scientific evidence and regulatory frameworks, from European climate adaptation strategies to national and regional policies promoting passive cooling, reflective materials, and climate resilience planning. By bridging fundamentals, modelling advances, and policy implications, the paper aims to provide an integrated perspective on how UHI research can inform effective mitigation strategies and support the transition toward sustainable, resilient, and carbon-neutral cities.
Open Access
Research article
Thermodynamic Performance of Advanced Adiabatic Compressed Air Energy Storage in Deep Wells Considering Unsteady Wellbore–Rock Heat Transfer
dongjin xu ,
zhiwen xu ,
shuqi niu ,
feipeng he ,
yukai guo ,
yong wang ,
xiangyang luo ,
wenping liu
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Available online: 07-04-2025

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Repurposing deep abandoned oil and gas wells for advanced adiabatic compressed air energy storage (AA-CAES) has attracted increasing attention; however, reliable performance assessment is challenged by the complex thermal behaviour induced by the large aspect ratio of deep wells and the long-term interaction between the gas column and surrounding formations. In particular, simplified heat transfer assumptions commonly adopted in existing models may lead to non-negligible deviations in capacity and efficiency predictions. To address this issue, a coupled thermodynamic framework is established that accounts for gas column gravity effects, geothermal temperature gradients, and unsteady heat conduction in the surrounding rock. Different wellbore heat transfer boundary representations and operational strategies are systematically examined to clarify their influence on the thermal and energetic performance of deep-well AA-CAES systems. The analysis indicates that under low mass flow rate conditions, the extended wellbore length promotes effective heat exchange between the compressed air and the surrounding rock, restricting the average temperature variation along the wellbore and leading to compression and expansion processes that deviate markedly from ideal adiabatic behaviour. When a constant wall temperature boundary is employed to represent long-term formation heat transfer, the predicted storage capacity is reduced by 6.12% compared with conventional adiabatic assumptions. In addition, sliding-pressure operation exhibits superior adaptability to the thermal characteristics of deep wells, increasing the round-trip efficiency (RTE) from 48.82% to 60.99 relative to constant-pressure operation. At low flow rates, extended thermal relaxation further enhances heat dissipation, resulting in a modest increase in effective energy storage density (ESD). These results highlight the role of surrounding rock formations as a distributed thermal buffer and underscore the importance of incorporating realistic heat transfer modelling and appropriate operational strategies in the thermodynamic design of deep-well AA-CAES systems.

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The combustion behavior of blended petroleum–biofuel mixtures has increasingly been investigated as interest grows in low-toxicity, biodegradable, and energy-dense biomass-derived fuels. Among higher alkanols, n-butanol is recognized for its favorable physicochemical properties and its compatibility with gasoline-range hydrocarbons (HC) such as iso-octane. In this context, a systematic evaluation of laminar flame propagation and instability characteristics is essential for understanding the combustion performance and operational safety of blended fuels. In the present study, the laminar burning velocity (LBV) and cellular instability of premixed iso-octane/n-butanol/air flames were quantified for a wide range of equivalence ratios (0.7–1.5) at an initial temperature of 423 K and ambient pressure. It was observed that the LBV increased consistently with the addition of n-butanol, whereas the Markstein length (Lb) decreased. Analysis of cellular structures revealed that diffusive-thermal instability strengthened monotonically as the equivalence ratio increased, resulting in more unstable flame propagation under fuel-rich conditions. In contrast, the hydrodynamic instability exhibited a non-monotonic trend, first intensifying and subsequently diminishing with increasing equivalence ratio. The critical Peclet number decreased continuously across the equivalence-ratio range, while the critical flame radius varied non-monotonically. The incorporation of n-butanol was found to enhance both diffusive-thermal and hydrodynamic instabilities and to reduce the critical Peclet number and critical flame radius. These findings underscore the need for careful control of combustion stability in practical applications involving iso-octane/n-butanol mixtures and provide fundamental insight into the flame-structure evolution associated with next-generation alternative fuels.

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This study investigates the design and performance of altitude test benches for piston engines with power outputs up to 200 kW. The primary objective is to generate controlled depressions within an enclosed engine bay to reproduce atmospheric conditions corresponding to altitudes ranging from sea level to 14,000 m. Three configurations are examined: an ejector–diffuser system derived from National Advisory Committee for Aeronautics (NACA) principles, a Venturi device powered by an auxiliary diesel engine (Cursor 13), and a centrifugal turbocharger (Holset HY55V) mechanically coupled to the same auxiliary engine. Computational Fluid Dynamics (CFD) simulations are performed to evaluate the pressure and velocity distributions within the test chamber and its associated flow components. The ejector-diffuser arrangement achieves a moderate pressure reduction but exhibits flow separation in the diffuser at large expansion angles, limiting its efficiency. The Venturi system achieves a greater vacuum level, reducing the chamber pressure to approximately 76 kPa, equivalent to an altitude of around 2,500 m. The turbocharger-based configuration demonstrates the highest performance, achieving a chamber pressure of approximately 15 kPa—equivalent to an altitude of 14,000 m—through appropriate adjustment of compressor rotational speed and intake valve opening. This configuration also ensures a faster transient response and enhanced stability of airflow and pressure distribution. The results highlight the importance of proper integration between auxiliary propulsion systems, component sizing, and boundary condition definition to achieve accurate altitude simulation. The proposed approach demonstrates that combining a variable-speed compressor with active flow control enables flexible reproduction of both steady-state and transient operating conditions. The findings provide practical guidelines for developing cost-effective, reliable, and versatile altitude test benches suitable for experimental evaluation and calibration of high-power piston engines under simulated high-altitude environments.
Open Access
Research article
Calculation and Optimization of Biomass Energy Production by the Dignet Energy Platform
srđan vasković ,
petar gvero ,
nermin montel ,
ivan marijanović
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Available online: 05-19-2025

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This paper discussed the possibilities of using the developed Dignet Energy Platform (DEP) for modeling and optimization of bioenergy production. The DEP presents a set of software tools based on a mathematical model to calculate the desired output and the profitability of investments in a renewable energy source based on input parameters. By using Multi-Criteria Decision Analysis (MCDA), the DEP selects an optimal variant of energy or fuel production from biomass. This tool enables the simplification of complex and biomass energy production-related calculations while facilitating the customization of each individual element in the bioenergy production process. The user could use a simple procedure to “simulate” the production parameters and choose the best option from a set of biomass-based projects. Criteria describing the various projects were selected by the users and calculated by the DEP. These criteria helped select the appropriate optimal project by multi-criteria optimization. In this paper, several chains of biomass fuel/heat/electricity production applicable to the settings in the Republic of Croatia and the region were analyzed. Results in this research provided selection of optimal chains for the production of solid fuels and energy, including heat and combined heat and power (CHP) from different categories of biomass. The DEP is proved to be a practical and effective tool in selecting the optimal project of biomass energy production.

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Greenhouses are energy-intensive agricultural systems, where the sustainable design of natural ventilation could markedly reduce energy demand while maintaining optimal conditions for plant growth. The performance of natural ventilation arises from a multifaceted interaction among several determinants, including the geometric configuration of the greenhouse, prevailing environmental conditions, and the structural characteristics of ventilation openings and ducts. This study employed computational fluid dynamics (CFD) to assess the influence of roof inlet design on airflow distribution, regulation of canopy temperature, and energy performance in a single-span greenhouse measuring 20 × 10 × 6 meters. Six ventilation configurations were evaluated by varying the quantity and shape of roof inlets: three large inlets and ten smaller inlets, each with rectangular, oval, or circular geometries. The plant canopy was modeled as a porous medium to realistically capture aerodynamic resistance. Mesh independence was validated using outlet mass flux, and simulations were conducted under steady-state natural ventilation conditions. Key performance indicators included airflow velocity, temperature distribution, ventilation rate, wall shear stress (WSS), air changes per hour (ACH), and estimated annual energy saving. Results of the analysis revealed that circular and oval inlets enhanced air mixing and reduced thermal gradients within the canopy, whereas rectangular inlets generated localized recirculation zones and elevated WSS, resulting in lower energy efficiency. The inlet geometry and quantity played a critical role in the sustainable design of greenhouse ventilation. By integrating CFD-based airflow analysis with energy-saving assessments, this study offered a practical framework to guide greenhouse operators in optimizing ventilation strategies that balance productivity, thermal comfort, and long-term energy sustainability.

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Heating, ventilation, and air-conditioning (HVAC) systems have been identified as major contributors to global energy consumption, underscoring the urgency of optimizing their performance for economic and environmental sustainability. This review presents a comprehensive examination of the thermofluid behavior, mathematical modeling techniques, and optimization strategies employed in HVAC systems. Particular emphasis is placed on the development and implementation of dynamic and steady-state models that enable predictive analysis and performance forecasting. The inherently nonlinear and time-varying nature of HVAC systems has necessitated the adoption of advanced computational approaches, including artificial intelligence (AI), machine learning (ML), genetic algorithm (GA), and simulated annealing (SA), to enhance system responsiveness and occupant comfort. AI- and ML- based control strategies have been shown to improve adaptability to real-time environmental and occupancy changes, thereby increasing operational efficiency. However, these approaches are often constrained by high data requirements and computational complexity. Multi-objective optimization frameworks have been proposed to balance energy efficiency with environmental impact, yet challenges remain regarding precision, scalability, and the seamless integration of emerging technologies. The application of digital twin technology has recently gained traction as a viable solution for real-time simulation and virtual testing, offering a non-intrusive means of performance evaluation and system tuning. It is suggested that the future of HVAC optimization lies in the convergence of classical thermodynamic and fluid dynamic modeling with intelligent control architectures, enabling the development of adaptive systems capable of autonomous decision-making. This integrated modeling paradigm is anticipated to support advancements in energy-aware design, occupant-centric climate control, and sustainable building operation. Through this synthesis of traditional and data-driven methodologies, new pathways were proposed for achieving robust, scalable, and intelligent HVAC systems that respond efficiently to evolving environmental and user-specific demands.
Open Access
Research article
Numerical Analysis of Micropolar Nanofluid Flow near a Stagnation Point over an Inclined Stretching Surface
pennelli saila kumari ,
shaik mohammed ibrahim ,
Prathi Vijaya Kumar ,
Giulio Lorenzini
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Available online: 03-30-2025

Abstract

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The stagnation point flow behavior of a micropolar nanofluid over an inclined stretching surface was numerically investigated. The formulation accounts for the combined effects of Brownian motion, thermophoresis, thermal radiation, velocity slip, and the presence of internal heat generation or absorption. The governing system of non-linear partial differential equations was transformed into a set of coupled ordinary differential equations through the application of appropriate similarity transformations. These transformed equations were solved numerically to analyze the behavior of the fluid near the stagnation region, where both the stretching velocity of the surface and the external free stream velocity are assumed to vary linearly with distance from the stagnation point. Special attention was paid to the influence of dimensionless parameters on key physical quantities, including skin friction coefficient, energy transfer, and Sherwood number. It was observed that increasing the stagnation point parameter leads to a reduction in skin friction, while the inclination angle demonstrates an opposing effect on heat and mass transfer rates. Data extracted from graphical results was tabulated to provide quantitative insights into the impact of varying parameters. The findings offer significant implications for microscale heat and mass transfer systems, particularly in processes involving inclined geometries and nanoparticle-enhanced fluids under magnetohydrodynamic (MHD) effects.
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