Výsledky vyhledávání - "K Harsha Kumar"

3D coupled conduction-convection problem using in-house heat transfer experiments in conjunction with hybrid inverse approach

Autor: Nagarajan Gnanasekaran, P. S. Vishweshwara, M. Arun, M. K. Harsha Kumar

Publikováno v: Engineering Computations. 36:3180-3207

Purpose Many a times, the information about the boundary heat flux is obtained only through inverse approach by locating the thermocouple or temperature sensor in accessible boundary. Most of the work reported in literature for the estimation of unkn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f25590f38f85fde9f5f64a6a43e853a5
https://doi.org/10.1108/ec-11-2018-0496

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Evaluation of artificial neural network in data reduction for a natural convection conjugate heat transfer problem in an inverse approach: experiments combined with CFD solutions

Autor: Nagarajan Gnanasekaran, M K Harsha Kumar, P. S. Vishweshwara

Publikováno v: Sādhanā. 45

In this work, natural convection fin experiments are performed with mild steel as the fin and an aluminium plate as base. The dimension of the mild steel fin is 250 mm × 150 mm × 6 mm and the aluminium base plate is 250 mm × 150 mm × 8 mm. A heat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::162aa443e95ed9b62d60b47a9f8a8fd0
https://doi.org/10.1007/s12046-020-1303-x

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A Surrogate Forward Model Using Artificial Neural Networks in Conjunction with Bayesian Computations for 3D Conduction-Convection Heat Transfer Problem

Autor: P. S. Vishweshwara, M. K. Harsha Kumar, Nagarajan Gnanasekaran

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9789811501838
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The present work describes the determination of heat flux at the boundary for a conjugate heat transfer problem based on a coupled three-dimensional conduction-convection fin numerical model, also referred to as complete model. The model is developed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec03f9a719ad333c68545c85d1c1f5a7
https://doi.org/10.1007/978-981-15-0184-5_33

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Prosthodontic management of a clinically short implant abutment due to the deep placement of a single-piece implant – A new approach

Autor: C Femil Jilta, Vivek V Nair, K Harsha Kumar, R Ravichandran

Publikováno v: Journal of Interdisciplinary Dentistry. 11:32

Maintaining the integrity of the connection between the prosthetic superstructure and the fixture plays an important role in the success of implant treatment. Implant restorations can be screw retained or cement retained, each having its own advantag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7724ee47537eeffb26fa5ea45b8bde7
https://doi.org/10.4103/jid.jid_24_19

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Silicone finger prosthesis with customized ring wire loop substructure as a retentive aid

Autor: K Harsha Kumar, Senbagavalli Sagadevan, Smitha Rajeev, R Ravichandran

Publikováno v: Journal of Interdisciplinary Dentistry. 11:97

Finger prosthesis is an artificial replacement of missing fingers. Defects of fingers or hands due to congenital reasons or trauma may affect the individual physically, emotionally, and psychologically. Major problem that we can anticipate during pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a3c42ddefe10e68f8cba2f935632b8c
https://doi.org/10.4103/jid.jid_48_20

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Accelerating MCMC Using Model Reduction for the Estimation of Boundary Properties Within Bayesian Framework

Autor: Nagarajan Gnanasekaran, M K Harsha Kumar

Publikováno v: Numerical Heat Transfer and Fluid Flow ISBN: 9789811319020

In this work, Artificial Neural Network (ANN) and Approximation Error Model (AEM) are proposed as model reduction methods for the simultaneous estimation of the convective heat transfer coefficient and the heat flux from a mild steel fin subject to n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5782366834e9afec67485e5b94dd1071
https://doi.org/10.1007/978-981-13-1903-7_19

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A Bayesian inference approach: estimation of heat flux from fin for perturbed temperature data

Autor: Gnanasekaran Nagarajan, M K Harsha Kumar

Publikováno v: Sādhanā. 43

This paper reports the estimation of the unknown boundary heat flux from a fin using the Bayesian inference method. The setup consists of a rectangular mild steel fin of dimensions 250×150×6 mm3 and an aluminium base plate of dimensions 250×150×8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53e0ee9451de4ffccf85460855927087
https://doi.org/10.1007/s12046-018-0861-7

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