Aziz Ullah Awan , Sidra Qayyum , Bagh Ali , Fehmi Gamaoun , Nehad Ali Shah , N. Ameer Ahammad , Sohail Nadeem
{"title":"Optimization of heat transfer and entropy for Maxwell dusty fluid: Significance of Lorentz force and variable viscosity","authors":"Aziz Ullah Awan , Sidra Qayyum , Bagh Ali , Fehmi Gamaoun , Nehad Ali Shah , N. Ameer Ahammad , Sohail Nadeem","doi":"10.1016/j.jestch.2025.102129","DOIUrl":null,"url":null,"abstract":"<div><div>Dusty fluids are an indispensable source of efficient heat production with many applications in many scientific and technical fields. The incorporation of dust nanoparticles, characterized by their enhanced thermal properties, broadens the range of potential applications to include complex domains such as chemical and mechanical engineering and cutting-edge technological environments. The main aim of this investigation is to explore the momentum and thermal transfer properties of a magnetohydrodynamics Maxwell nanofluid passing through an inclined surface while carrying conductive dust particles as a volume fraction. This study provides a means to optimize thermal systems in engineering and technological settings by examining dusty Maxwell nanofluids under magnetic and convective circumstances. The problem is theoretically simulated by incorporating the mixed convective situation and magnetic influence. Furthermore, analyzing the Bejan number and entropy generation reveals the stream’s delicate aspects. Using similarity transformation, the heat transfer and fluid flow controlling equations are converted into ordinary differential equations that are nonlinear, which are solved numerically by a shooting approach. The effects of dimensionless controlling factors on flow velocity, Bejan number, entropy generation rate, and thermal profiles are examined and shown using graphics. Additionally, the Nusselt number and friction factor are computed. The results demonstrated that the mixed convection parameter and the dusty-fluid interaction variable increase the entropy production and the Bejan number. It is also explored that the velocity and thermal profile exhibit distinguishing behavior for increasing magnetic variables. The Bejan number and the entropy generation rate show an increasing trend as the Maxwell fluid parameter rises. The improved elastic effects of the Maxwell fluid, which increase internal friction and heat transfer irreversibility, cause this rise. Compared to previous studies, the results obtained showed an elevated level of homogeneity and precision.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102129"},"PeriodicalIF":5.1000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science and Technology-An International Journal-Jestech","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215098625001843","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Dusty fluids are an indispensable source of efficient heat production with many applications in many scientific and technical fields. The incorporation of dust nanoparticles, characterized by their enhanced thermal properties, broadens the range of potential applications to include complex domains such as chemical and mechanical engineering and cutting-edge technological environments. The main aim of this investigation is to explore the momentum and thermal transfer properties of a magnetohydrodynamics Maxwell nanofluid passing through an inclined surface while carrying conductive dust particles as a volume fraction. This study provides a means to optimize thermal systems in engineering and technological settings by examining dusty Maxwell nanofluids under magnetic and convective circumstances. The problem is theoretically simulated by incorporating the mixed convective situation and magnetic influence. Furthermore, analyzing the Bejan number and entropy generation reveals the stream’s delicate aspects. Using similarity transformation, the heat transfer and fluid flow controlling equations are converted into ordinary differential equations that are nonlinear, which are solved numerically by a shooting approach. The effects of dimensionless controlling factors on flow velocity, Bejan number, entropy generation rate, and thermal profiles are examined and shown using graphics. Additionally, the Nusselt number and friction factor are computed. The results demonstrated that the mixed convection parameter and the dusty-fluid interaction variable increase the entropy production and the Bejan number. It is also explored that the velocity and thermal profile exhibit distinguishing behavior for increasing magnetic variables. The Bejan number and the entropy generation rate show an increasing trend as the Maxwell fluid parameter rises. The improved elastic effects of the Maxwell fluid, which increase internal friction and heat transfer irreversibility, cause this rise. Compared to previous studies, the results obtained showed an elevated level of homogeneity and precision.
期刊介绍:
Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology.
The scope of JESTECH includes a wide spectrum of subjects including:
-Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing)
-Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences)
-Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)