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

IF 3.7 2区 化学 Q2 AUTOMATION & CONTROL SYSTEMS Chemometrics and Intelligent Laboratory Systems Pub Date : 2025-02-02 DOI:10.1016/j.chemolab.2025.105336
Maddina Dinesh Kumar , Dharmaiah Gurram , Se-Jin Yook , C.S.K. Raju , Nehad Ali Shah
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Abstract

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.
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研究背景与意义混合纳米流体因其在一系列技术应用中增强热传递的能力而备受关注;优化其热性能对于提高冷却系统、储能装置和带有旋转表面的热交换器的效率至关重要。本研究的新颖性和方法在本研究中,研究了在罗斯兰近似和磁性近似影响下的热量、速度和质量扩散转化,三元混合纳米流体是一种通过旋转圆盘表面使用基础流体混合两种以上特性的流体,利用三元混合纳米流体加快热量传输速率、在此过程中,将非线性 PDE 转换为 ODE,然后通过相似性转换将有维控制方程转换为无维控制方程,并使用 MATLAB 内置的 BVP5C 求解器进行数字计算,采用二次回归模型的响应曲面法(RSM)研究独立参数对物理参数的影响;曲面图通过 Python 程序绘制。定量评估对于 RSM 二次回归模型(R2=99.51%),它显示了模型拟合的良好性。在案例 1 中,Cf 的传播率高于案例 2;在案例 1 中,Sh 的传播率高于案例 2;在案例 1 中,Nus 的传播率高于案例 2。
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来源期刊
CiteScore
7.50
自引率
7.70%
发文量
169
审稿时长
3.4 months
期刊介绍: Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data. The journal deals with the following topics: 1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.) 2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered. 3) Development of new software that provides novel tools or truly advances the use of chemometrical methods. 4) Well characterized data sets to test performance for the new methods and software. The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.
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