DSpace Repository


Show simple item record

dc.contributor.author Bocharov, Sergey
dc.contributor.editor Kostas, Konstantinos
dc.contributor.editor Rojas-Solórzano, Luis R.
dc.date.accessioned 2017-02-02T04:14:26Z
dc.date.available 2017-02-02T04:14:26Z
dc.date.issued 2017-01
dc.identifier.citation Sergey Bocharov; 2017; PARAMETRIC MODELING FOR SHAPE OPTIMIZATION; School of Engineering. Department of Mechanical Engineering. Nazarbayev University; http://nur.nu.edu.kz/handle/123456789/2300 ru_RU
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/2300
dc.description.abstract Shape optimization has become a necessity in our pursuit for performance and efficiency in highly competitive fields ranging from engineering and science and finishing to medicine and agriculture. This plethora of shape-related problems gives rise to the requirement of flexible and generic frameworks that can address a wide series of problems. In our work, we closely examine the development of such a framework for the case of fluid flows around airfoils but we implement it in a way that would allow the extension of our approach to different areas of application. Commercial software packages like Solidworks or Ansys offer an advanced modeling and analysis environment but they do not come up with the required flexibility and customization capability demanded in our endeavor. On the other hand, the open source software package like OpenFOAM coupled with Matlab proved to be an efficient combination for our purposes. As a benchmark case for the framework, airfoil shapes are optimized at a single-point operating condition with fixed flow parameters. The Matlab's implementations for constrained nonlinear optimization drive the shape optimization process in our framework. The parametric model is based on the NURBS curve representation and the resulting airfoil instances are generated with the aid of eight parameters. Airfoil's performance is evaluated via appropriate flow analysis solvers for the selected range of applications. The framework's capabilities are demonstrated in the optimization of a given airfoil 6 shape with respect to its lift coefficient. Specifically, a 4% increase is attained for the lift coefficient while the shape parameters are constrained to deviate up to 0.5% from the initial values. ru_RU
dc.language.iso en ru_RU
dc.publisher Nazarbayev University School of Engineering and Digital Sciences ru_RU
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Shape optimization ru_RU
dc.type Master's thesis ru_RU

Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States

Video Guide

Submission guideSubmission guide

Submit your materials for publication to

NU Repository Drive


My Account