alexa Numerical Simulation Of Low Reynolds Number Flows Using Transition Models | 13579
ISSN: 2168-9873

Journal of Applied Mechanical Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

International Conference and Exhibition on Mechanical & Aerospace Engineering

Mustafa Serdar Genc
ScientificTracks Abstracts: J Appl Mech Eng
DOI: 10.4172/2168-9873.S1.002
Abstract
Low Re number flows are seen on mini, micro and unmanned air vehicles, wind turbine blades, model aircrafts, birds and little creatures like bees or flies. Due to the advances in unmanned aerial vehicles, micro air vehicles and wind turbines, aerodynamics researches concentrated on low Reynolds number aerodynamics, transition and laminar separation bubble and its effects on aerodynamic performance. Today, high performance computing capabilities make it possible to routinely use RANS based CFD methods for simulating high and low Reynolds number flows. Recently, transport equation models which rely on local information to circumvent some complicated procedures in the early methods, have been introduced. These transport equation models solve several transport partial differential equations written for various transition quantities in addition to the baseline turbulence models. Some of these models have been made available in a number of commercial CFD codes, and assessment of transport equation models has been made by different authors including trials of different user-dependent transition correlations. Transition-sensitive, single point eddy viscosity models are fairly new, and performance assessments of these models are required. The first aim of this study is to evaluate the performance of transition and turbulence models for predicting of low Re number flows which have a laminar separation bubble, which is traditionally very difficult for RANS-based CFD.
Biography
Mustafa Serdar Genc is an Associate Professor in the Department of Energy Systems Engineering at Erciyes University. He has completed his Ph.D. from Erciyes University and postdoctoral studies from University Bath. He is Vice Chairman of the Department of Energy Systems Engineering. His research interests include experimental fluid mechanics, aerodynamics, computational fluid dynamics of low Reynolds number flows, transition and turbulence modeling, flow control, micro air vehicles, wind energy and meteorology. He has published more than 50 publications such as book, book chapters and journal and conference papers and serving as an editorial board.
image PDF   |   image HTML
 

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7