Optimising thermal performance of water-based hybrid nanofluids with magnetic and radiative effects over a spinning disc

  • Kumar, Maddina Dinesh
  • Gurram, Dharmaiah
  • Yook, Se-Jin
  • Raju, C.S.K.
  • Shah, Nehad Ali
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초록

Research background and significance: Hybrid nanofluids have garnered significant attention because of their capacity to enhance heat transmission in a range of technical applications; optimising their thermal performance is crucial for improving the efficiency of cooling systems, energy storage devices, and heat exchangers with rotating surfaces. Present study novelty and methodology: In a present study investigating the heat, velocity and mass diffusion transformation under the effect of the Rossland and magnetic approximations, a ternary hybrid nanofluid is a mixing of more than two characteristics using a base fluid through a spinning disc surface, utilising to speed up the heat transmission rate due to ternary hybrid nanofluid, converting non-linear PDE to ODE in this process dimensional governing equations will convert to dimensionless by using the similarity transformations afterwards with MATLAB inbuilt BVP5C solver has been using for the numeral computation, The quadratic regression model’s response surface method (RSM) has been employed to research the impacts of independent parameters on physical parameters; surface plots are drawn through Python programming. Quantitative evaluation: For the RSM quadratic regression model ( R2 = 99.51%) , it shows the model fit goodness. case-1 including more Cf rate of transmission than case-2, In case-1 with more Sh transmission rate in comparison to case-2, In case-1 Possessing more Nus rate of transmission than case 2.

키워드

Ternary hybrid nanofluidRotating disk flowResponse surface method (RSM)Linear thermal radiationHEAT-TRANSFERFLOW
제목
Optimising thermal performance of water-based hybrid nanofluids with magnetic and radiative effects over a spinning disc
저자
Kumar, Maddina DineshGurram, DharmaiahYook, Se-JinRaju, C.S.K.Shah, Nehad Ali
DOI
10.1016/j.chemolab.2025.105336
발행일
2025-03
유형
Article
저널명
Chemometrics and Intelligent Laboratory Systems
258
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