يعرض 1 - 9 نتائج من 9 نتيجة بحث عن '"Singh, S. Christopher Ezhil"', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 1
    Academic Journal
    Optimization on Wear Behavior of Al-12Si Alloy Reinforced with ZrC Nano Particle using Factorial Design

    المؤلفون: John, C. Fradaric1, Paul, R. Christu2, Singh, S. Christopher Ezhil3, Jacobjose, J.4, Kumar, T. Ram5

    المصدر: Asian Journal of Research in Social Sciences and Humanities 7(3):935-944. 2017


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  2. 2
    Academic Journal
    Wear Analysis of Nano ZrC Reinforced with Cu - Cr using Response Surface Methodology

    المؤلفون: Singh, S. Christopher Ezhil1, Kumar, N. Selva2

    المصدر: Asian Journal of Research in Social Sciences and Humanities 7(3):708-716. 2017


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  3. 3
    Academic Journal
    Effects of Moisture Content and Die Pressure of Artocarpus Heterophyllus Leaves Powder Biomass Processing by using Response Surface Methodology

    المؤلفون: Sango, S. L.1, Kannan, P. Seeni2, Suresh, S.3, Vettivel, S. C.4, Singh, S. Christopher Ezhil5

    المصدر: Asian Journal of Research in Social Sciences and Humanities 6(12):731-742. 2016


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  4. 4
    Academic Journal
    Sport-utility vehicle prediction based on machine learning approach

    المؤلفون: Geetharamani,G., Dhinakaran,K., Selvaraj,Janarthanan, Singh,S. Christopher Ezhil

    المصدر: Journal of applied research and technology v.19 n.3 2021

    مصطلحات موضوعية: Data mining, machine learning, prediction, classification, logistic regression, scikit-learn

    وصف الملف: text/html

    الاتاحة: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232021000300184

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  5. 5
    Academic Journal
    Wear and corrosion behaviour of Ti-based coating on biomedical implants

    المؤلفون: Godwin, G., Jaisingh, S. Julyes, Priyan, M. Shunmuga, Singh, S. Christopher Ezhil

    المصدر: Surface Engineering ; volume 37, issue 1, page 32-41 ; ISSN 0267-0844 1743-2944

    الاتاحة: http://dx.doi.org/10.1080/02670844.2020.1730058
    https://www.tandfonline.com/doi/pdf/10.1080/02670844.2020.1730058

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  6. 6
    Academic Journal
    Performance Characterization of a Solar Cavity Collector Using Artificial Neural Network.

    المؤلفون: Lakshmipathy, B., Sivakumar, K., Senthilkumar, M., Kajavali, A., Singh, S. Christopher Ezhil, Murugan, Sivaraj

    المصدر: Modelling & Simulation in Engineering; 4/6/2022, p1-9, 9p

    مصطلحات موضوعية: HELIOSPHERE, SOLAR collectors, SOLAR system, WATER masses, WORKING fluids, ARTIFICIAL neural networks, SOLAR technology

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  7. 7
    Academic Journal
    A statistical prediction on wear and friction behavior of ZrC nano particles reinforced with Al Si composites using full factorial design

    المؤلفون: Haiter Lenin, A., Vettivel, S.C., Raja, T., Belay, Lulseged, Singh, S. Christopher Ezhil

    المصدر: Surfaces and Interfaces ; volume 10, page 149-161 ; ISSN 2468-0230

    الاتاحة: http://dx.doi.org/10.1016/j.surfin.2018.01.003
    https://api.elsevier.com/content/article/PII:S2468023018300294?httpAccept=text/xml
    https://api.elsevier.com/content/article/PII:S2468023018300294?httpAccept=text/plain

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  8. 8
    Academic Journal
    Wear and corrosion behaviour of Ti-based coating on biomedical implants.

    المؤلفون: Godwin, G., Jaisingh, S. Julyes, Priyan, M. Shunmuga, Singh, S. Christopher Ezhil

    المصدر: Surface Engineering; Jan2021, Vol. 37 Issue 1, p32-41, 10p

    مصطلحات موضوعية: STAINLESS steel, TRIBO-corrosion, ENERGY dispersive X-ray spectroscopy, AUSTENITIC stainless steel, SCANNING electron microscopes, CORROSION resistance, SURFACE roughness


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  9. 9
    Academic Journal
    Tensile and compression behaviour, microstructural characterization on Mg-3Zn-3Sn-0.7Mn alloy reinforced with SiCp prepared through powder metallurgy method.

    المؤلفون: Singh, G Robert, Singh, S Christopher Ezhil, Sivapragash, M, Anselm, Lenin, Kumar, R Sanjeev, Lenin, A Haiter

    المصدر: Materials Research Express; Oct2020, Vol. 7 Issue 10, p1-9, 9p

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