Entropy optimized Darcy–Forchheimer nanomaterial flow subject to cubic autocatalysis chemical reactions
The objective of this paper is to discuss the entropy generation in electromagnetohydrodynamic (EMHD) Darcy–Forchheimer nanomaterial flow. Porous space by Darcy–Forchheimer relation is characterized. Thermal expression comprises of radiation, heat generation, electric and magnetic fields and dissipa...
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Published in | International journal of modern physics. B, Condensed matter physics, statistical physics, applied physics Vol. 37; no. 7 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Singapore
World Scientific Publishing Company
20.03.2023
World Scientific Publishing Co. Pte., Ltd |
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Abstract | The objective of this paper is to discuss the entropy generation in electromagnetohydrodynamic (EMHD) Darcy–Forchheimer nanomaterial flow. Porous space by Darcy–Forchheimer relation is characterized. Thermal expression comprises of radiation, heat generation, electric and magnetic fields and dissipation. Buongiorno model (thermophoresis and random motions) for nanomaterial is taken. Features of entropy generation are addressed. Furthermore, cubic autocatalysis isothermal chemical reactions are studied. Newton built in-shooting technique is implemented for the solution of nonlinear differential system invoking appropriate transformation. Influence for emerging parameters on velocity, concentration, entropy rate and thermal field is graphically addressed. Velocity has similar behaviors for magnetic and electric field variables. Larger approximation of Eckert number boosts up temperatures while reverse trend holds for Prandtl number. Concentration has reverse impact for random and thermophoresis parameters. Entropy generation follows a similar pattern for Brinkman number and porosity parameter. |
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AbstractList | The objective of this paper is to discuss the entropy generation in electromagnetohydrodynamic (EMHD) Darcy–Forchheimer nanomaterial flow. Porous space by Darcy–Forchheimer relation is characterized. Thermal expression comprises of radiation, heat generation, electric and magnetic fields and dissipation. Buongiorno model (thermophoresis and random motions) for nanomaterial is taken. Features of entropy generation are addressed. Furthermore, cubic autocatalysis isothermal chemical reactions are studied. Newton built in-shooting technique is implemented for the solution of nonlinear differential system invoking appropriate transformation. Influence for emerging parameters on velocity, concentration, entropy rate and thermal field is graphically addressed. Velocity has similar behaviors for magnetic and electric field variables. Larger approximation of Eckert number boosts up temperatures while reverse trend holds for Prandtl number. Concentration has reverse impact for random and thermophoresis parameters. Entropy generation follows a similar pattern for Brinkman number and porosity parameter. |
Author | Hayat, T. Alsaedi, A. Iqbal, Iqra Khan, Sohail A. |
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SubjectTerms | Autocatalysis Chemical reactions Electric fields Entropy Heat generation Nanomaterials Parameters Prandtl number Thermophoresis |
Title | Entropy optimized Darcy–Forchheimer nanomaterial flow subject to cubic autocatalysis chemical reactions |
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