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EXACT SOLUTION OF RADIATIVE FLOW ON THE MIXED CONVECTION FLOW OF HYBRID NANOFLUID IN A POROUS MEDIUM: LAPLACE TRANSFORM TECHNIQUE FOR SUSTAINABLE ENERGY

    https://doi.org/10.1142/S0218625X25501161Cited by:1 (Source: Crossref)

    To govern the complex rheological dynamics of fluid simulations, numerous mathematical approaches are being developed. The examination of such mathematical frameworks employs theoretical, iterative, empirical, and analytical methodologies. This work analyzes and evaluates the Laplace transforms to estimate the time-dependent mixed convective flow of hybrid nanofluid in a porous material. A hybrid nanofluid is produced through dispersing molybdenum disulfide (MoS2) and silicone dioxide (SiO2) nanoparticles in carboxymethyl cellulose (CMC water). The objective of this study is to examine the heat transfer properties of a hybrid nanofluid (MoS2SiO2)/(CMC water) flowing over a vertical sheet while being subjected to a thermal radiation and heat source and sink. The Laplace transform approach has been used in closed form to solve the resulting partial differential equations governing the flow. This study examines how hybrid nanofluids influence time-dependent flow and heat transmission in the presence of porous medium, heat radiation, and rate of heat generation. The computer program MATHEMATICA is used to emphasize the impact of each flow parameter. Graphs are used to analyze the results of radiation, heat source, magnetic, and nanoparticle volume fraction obtained using the Laplace transform technique for engineering variables like fraction and rate of heat, as well as velocity and thermal distribution. The velocity distribution is an increasing function of mixed convective parameter. Larger values of porosity variable and mixed convection variable result in accelerating the velocity of the fluid. Additionally, we conducted research with various ratios of nanoparticles and discovered several intriguing outcomes that can be used to solve various technical issues, particularly in the cooling process.