<p>Alumina–magnetite (Al<sub>2</sub>O<sub>3</sub>-Fe<sub>3</sub>O<sub>4</sub>) nanoparticles have demonstrated significant potential in numerous biomedical uses comprising drug delivery systems, magnetic resonance imaging (MRI), and hyperthermia treatment modalities. Furthermore, this composite material is employed as a catalyst in numerous chemical reactions. This study aims to investigate the 2D alumina–magnetite boundary layer (BL) movement&#xa0;above a stretched surface in a permeable medium including heat generation/absorption, multiple slips, and solar radiation, emphasizing the novel applications of hybrid nanofluid (H-N-Fs). The phenomenon of dual solutions arises as a consequence of suction, thus necessitating the execution of a stability assessment to identify the stable solution. Alumina–magnetite hybrid nanoparticles are floating in a 50:50 mixture of water and ethylene glycol (WEG) to form the H-N-F. The fluid is classified as a Maxwell fluid. A numerical solution is obtained via Runge–Kutta integration technique in MATLAB. The influence of evolving aspects on the flow features is described via graphs and tables. The critical values for <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\lambda_{1} = 0.4, 0.8,\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>λ</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>0.4</mn> <mo>,</mo> <mn>0.8</mn> <mo>,</mo> </mrow> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(1.2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>1.2</mn> </mrow> </math></EquationSource> </InlineEquation> are <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(S_{{{\text{c}}1}} = 2.4461\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>S</mi> <mrow> <mtext>c</mtext> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>2.4461</mn> </mrow> </math></EquationSource> </InlineEquation>,<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(S_{{{\text{c}}2}} = 2.3502\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>S</mi> <mrow> <mtext>c</mtext> <mn>2</mn> </mrow> </msub> <mo>=</mo> <mn>2.3502</mn> </mrow> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(S_{{{\text{c}}3}} = 2.4511,\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>S</mi> <mrow> <mtext>c</mtext> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mn>2.4511</mn> <mo>,</mo> </mrow> </math></EquationSource> </InlineEquation> respectively. In the domain <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(Ec\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">Ec</mi> </mrow> </math></EquationSource> </InlineEquation>, i.e., 0.4 <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(\le Ec \le 1.2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo>≤</mo> <mi>E</mi> <mi>c</mi> <mo>≤</mo> <mn>1.2</mn> </mrow> </math></EquationSource> </InlineEquation>, the critical values, regarding <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(R\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>R</mi> </math></EquationSource> </InlineEquation>, are <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(R_{{{\text{c}}1}} = 1.891220\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mrow> <mtext>c</mtext> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>1.891220</mn> </mrow> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(R_{{{\text{c}}2}} = 1.544211\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mrow> <mtext>c</mtext> <mn>2</mn> </mrow> </msub> <mo>=</mo> <mn>1.544211</mn> </mrow> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq11"> <EquationSource Format="TEX">\(R_{{{\text{c}}3}} = 1.487013\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mrow> <mtext>c</mtext> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mn>1.487013</mn> </mrow> </math></EquationSource> </InlineEquation>, while the critical values regarding <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\(M\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>M</mi> </math></EquationSource> </InlineEquation> are <InlineEquation ID="IEq13"> <EquationSource Format="TEX">\(M_{{{\text{c}}1}} = 0.410035\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>M</mi> <mrow> <mtext>c</mtext> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>0.410035</mn> </mrow> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq14"> <EquationSource Format="TEX">\(M_{{{\text{c}}2}} = 0.32710\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>M</mi> <mrow> <mtext>c</mtext> <mn>2</mn> </mrow> </msub> <mo>=</mo> <mn>0.32710</mn> </mrow> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq15"> <EquationSource Format="TEX">\(M_{{{\text{c}}3}} = 0.33502\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>M</mi> <mrow> <mtext>c</mtext> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mn>0.33502</mn> </mrow> </math></EquationSource> </InlineEquation>, respectively. For the code validation, it is equated with available investigation.</p>

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Dual solutions of alumina–magnetite MHD hybrid nanofluid flow over stretched sheet with thermal effect: multilinear regression analysis

  • Zeeshan,
  • Waris Khan,
  • Nehad Ali Shah

摘要

Alumina–magnetite (Al2O3-Fe3O4) nanoparticles have demonstrated significant potential in numerous biomedical uses comprising drug delivery systems, magnetic resonance imaging (MRI), and hyperthermia treatment modalities. Furthermore, this composite material is employed as a catalyst in numerous chemical reactions. This study aims to investigate the 2D alumina–magnetite boundary layer (BL) movement above a stretched surface in a permeable medium including heat generation/absorption, multiple slips, and solar radiation, emphasizing the novel applications of hybrid nanofluid (H-N-Fs). The phenomenon of dual solutions arises as a consequence of suction, thus necessitating the execution of a stability assessment to identify the stable solution. Alumina–magnetite hybrid nanoparticles are floating in a 50:50 mixture of water and ethylene glycol (WEG) to form the H-N-F. The fluid is classified as a Maxwell fluid. A numerical solution is obtained via Runge–Kutta integration technique in MATLAB. The influence of evolving aspects on the flow features is described via graphs and tables. The critical values for \(\lambda_{1} = 0.4, 0.8,\) λ 1 = 0.4 , 0.8 , and \(1.2\) 1.2 are \(S_{{{\text{c}}1}} = 2.4461\) S c 1 = 2.4461 , \(S_{{{\text{c}}2}} = 2.3502\) S c 2 = 2.3502 , and \(S_{{{\text{c}}3}} = 2.4511,\) S c 3 = 2.4511 , respectively. In the domain \(Ec\) Ec , i.e., 0.4 \(\le Ec \le 1.2\) E c 1.2 , the critical values, regarding \(R\) R , are \(R_{{{\text{c}}1}} = 1.891220\) R c 1 = 1.891220 , \(R_{{{\text{c}}2}} = 1.544211\) R c 2 = 1.544211 , and \(R_{{{\text{c}}3}} = 1.487013\) R c 3 = 1.487013 , while the critical values regarding \(M\) M are \(M_{{{\text{c}}1}} = 0.410035\) M c 1 = 0.410035 , \(M_{{{\text{c}}2}} = 0.32710\) M c 2 = 0.32710 , and \(M_{{{\text{c}}3}} = 0.33502\) M c 3 = 0.33502 , respectively. For the code validation, it is equated with available investigation.