يعرض 1 - 6 نتائج من 6 نتيجة بحث عن '"Menon, Abhilash M."', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 1
    Academic Journal
    A super-grid approach for LES combustion closure using the Linear Eddy Model

    المؤلفون: Menon, Abhilash M., Oevermann, Michael, Kerstein, Alan R.

    المساهمون: Swedish Research Council

    المصدر: Combustion Theory and Modelling ; volume 28, issue 1, page 99-126 ; ISSN 1364-7830 1741-3559

    الاتاحة: http://dx.doi.org/10.1080/13647830.2023.2260351
    https://www.tandfonline.com/doi/pdf/10.1080/13647830.2023.2260351

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  2. 2
    Academic Journal
    Investigation of coarse-graining parameters for super-grid LEM closure applied to LES of practical bluff-body flames.

    المؤلفون: Menon, Abhilash M.1 (AUTHOR) menona@chalmers.se, Kerstein, Alan2 (AUTHOR), Oevermann, Michael1,3 (AUTHOR)

    المصدر: Combustion Theory & Modelling. Nov2024, p1-22. 22p. 13 Illustrations.

    مصطلحات موضوعية: *LARGE eddy simulation models, *FLAME stability, *FLUID dynamics, *FLAME, *COMBUSTION


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  3. 3
    Academic Journal
    A super-grid approach for LES combustion closure using the Linear Eddy Model.

    المؤلفون: Menon, Abhilash M., Oevermann, Michael, Kerstein, Alan R.

    المصدر: Combustion Theory & Modelling; Feb2024, Vol. 28 Issue 1, p99-126, 28p

    مصطلحات موضوعية: COMBUSTION, ADVECTION-diffusion equations, EDDIES, FLAME, ADVECTION, ETHYLENE, VELOCITY


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  4. 4
    Conference
    Deep learning-based optimization of piezoelectric vibration energy harvesters

    المؤلفون: Menon, Abhilash M., Kopparthi, Tanmayee R., Omprakash, Pravan, Verma, Harikesh, Haldar, A., Swayamjyoti, Soumya, Sahu, Kisor K., Featherston, Carol

    Relation: Menon, Abhilash M., Kopparthi, Tanmayee R., Omprakash, Pravan, Verma, Harikesh, Haldar, A. https://orca.cardiff.ac.uk/view/cardiffauthors/A2478627L.html, Swayamjyoti, Soumya, Sahu, Kisor K. and Featherston, Carol https://orca.cardiff.ac.uk/view/cardiffauthors/A018926E.html orcid:0000-0001-7548-2882 orcid:0000-0001-7548-2882 2022. Deep learning-based optimization of piezoelectric vibration energy harvesters. Presented at: AIAA SCITECH 2022 Forum, Virtual, 03-07 January 2022. IAA SCITECH 2022 Forum. Aerospace Reseach Central, 10.2514/6.2022-2142 https://doi.org/10.2514/6.2022-2142

    الاتاحة: https://orca.cardiff.ac.uk/id/eprint/147437/
    https://doi.org/10.2514/6.2022-2142

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  5. 5
    Book
    Artificial Intelligence and Machine Learning: New Age Tools for Augmenting Plastic Materials Designing, Processing, and Manufacturing

    المؤلفون: Sahu, Kisor Kumar, Meher, Shibu, Menon, Abhilash M., Sridhar, M.K., Harsha Vardhan, Gangala V., Pandey, Saurabh, Kumar, Ashutosh, Das, Shreeja

    المصدر: Encyclopedia of Materials: Plastics and Polymers ; page 127-152 ; ISBN 9780128232910

    الاتاحة: http://dx.doi.org/10.1016/b978-0-12-820352-1.00108-5
    https://api.elsevier.com/content/article/PII:B9780128203521001085?httpAccept=text/xml
    https://api.elsevier.com/content/article/PII:B9780128203521001085?httpAccept=text/plain

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  6. 6
    Electronic Resource
    Deep learning-based optimization of piezoelectric vibration energy harvesters

    المؤلفون: Menon, Abhilash M., Kopparthi, Tanmayee R., Omprakash, Pravan, Verma, Harikesh, Haldar, A., Swayamjyoti, Soumya, Sahu, Kisor K., Featherston, Carol

    مصطلحات الفهرس: Conference or Workshop Item, PeerReviewed

    URL: https://orca.cardiff.ac.uk/id/eprint/147437/
    https://orca.cardiff.ac.uk/id/eprint/147437
    http://dx.doi.org/10.2514/6.2022-2142
    10.2514/6.2022-2142

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