Entropy generation analysis of kerosene oil flow with ternary hybrid nanoparticles on the stretchable exponential surface.

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Title: Entropy generation analysis of kerosene oil flow with ternary hybrid nanoparticles on the stretchable exponential surface.
Authors: Mahboobtosi, Mehdi1 (AUTHOR), Hosseinzadeh, Khashayar1,2,3 (AUTHOR) khashayarh68@stu.nit.ac.ir, Najafpour, Ahmad1 (AUTHOR), Ganji, D.D.1 (AUTHOR) mirgang@nit.ac.ir
Source: International Journal of Modelling & Simulation. Jun2026, Vol. 46 Issue 3, p708-722. 15p.
Database: Academic Search Ultimate
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  Data: Entropy generation analysis of kerosene oil flow with ternary hybrid nanoparticles on the stretchable exponential surface.
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  Data: <searchLink fieldCode="AR" term="%22Mahboobtosi%2C+Mehdi%22">Mahboobtosi, Mehdi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hosseinzadeh%2C+Khashayar%22">Hosseinzadeh, Khashayar</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> khashayarh68@stu.nit.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Najafpour%2C+Ahmad%22">Najafpour, Ahmad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ganji%2C+D%2ED%2E%22">Ganji, D.D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mirgang@nit.ac.ir</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modelling+%26+Simulation%22">International Journal of Modelling & Simulation</searchLink>. Jun2026, Vol. 46 Issue 3, p708-722. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194222412
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/02286203.2024.2349506
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 708
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      – TitleFull: Entropy generation analysis of kerosene oil flow with ternary hybrid nanoparticles on the stretchable exponential surface.
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            NameFull: Mahboobtosi, Mehdi
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            NameFull: Hosseinzadeh, Khashayar
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            NameFull: Najafpour, Ahmad
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 46
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