K
Kyathanahalli Marigowda Yashawantha
Researcher at National Institute of Technology, Warangal
Publications - 12
Citations - 164
Kyathanahalli Marigowda Yashawantha is an academic researcher from National Institute of Technology, Warangal. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 5, co-authored 11 publications receiving 49 citations. Previous affiliations of Kyathanahalli Marigowda Yashawantha include Visvesvaraya Technological University.
Papers
More filters
Journal ArticleDOI
Back propagation modeling of shear stress and viscosity of aqueous Ionic-MXene nanofluids
Asif Afzal,Kyathanahalli Marigowda Yashawantha,Navid Aslfattahi,Navid Aslfattahi,Rahman Saidur,Rahman Saidur,R. K. Abdul Razak,Ram Subbiah +7 more
TL;DR: In this paper, back-propagation modeling of viscosity and shear stress of Ionic-MXene nanofluid is carried out in order to obtain better performance.
Journal ArticleDOI
Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model
TL;DR: In this paper, the thermal conductivity of stable water base fly ash and fly ash-Copper (80:20 vol.%) nanofluid was determined experimentally in the temperature range of 30-60 ˚C for the...
Journal ArticleDOI
Properties of water-based fly ash-copper hybrid nanofluid for solar energy applications: Application of RBF model
TL;DR: In this paper, the effect of temperature and concentration on thermal conductivity and viscosity of fly ash-copper (80:20% by volume) hybrid nanofluid is investigated.
Journal ArticleDOI
Rheological Behavior and Thermal Conductivity of Graphite–Ethylene Glycol Nanofluid
TL;DR: In this article, the rheological behavior and thermal conductivity of graphite-ethylene glycol (EG) nanofluid is investigated by two-step method using polyvinylpyrrolidone as surfactant.
Journal ArticleDOI
Experimental determination for viscosity of fly ash nanofluid and fly ash-Cu hybrid nanofluid:Prediction and optimization using artificial intelligent techniques
TL;DR: In this paper, the authors investigate the viscous properties of nanofluids for heat transfer applications and find that accurate measurement of dynamic viscosity of n is needed for various engineering applications.