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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4019Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Xing, X.Q. | - |
| dc.creator | Damodaran, Murali | - |
| dc.date | 2003-12-23T03:23:59Z | - |
| dc.date | 2003-12-23T03:23:59Z | - |
| dc.date | 2002-01 | - |
| dc.date.accessioned | 2013-10-09T02:33:40Z | - |
| dc.date.available | 2013-10-09T02:33:40Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | http://hdl.handle.net/1721.1/4019 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | Simultaneous Perturbation Stochastic Approximation method has attracted considerable application in many different areas such as statistical parameter estimation, feedback control, simulation-based optimization, signal & image processing, and experimental design. In this paper, its performance as a viable optimization tool is demonstrated by applying it first to a simple wing geometry design problem for which the objective function is described by an empirical formula from aircraft design practice and then it is used in a transonic fan blade design problem in which the objective function is not represented by any explicit function but is estimated at each design iteration by a computational fluid dynamics algorithm for solving the Navier-Stokes equations | - |
| dc.description | Singapore-MIT Alliance (SMA) | - |
| dc.format | 265864 bytes | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | High Performance Computation for Engineered Systems (HPCES); | - |
| dc.subject | global optimization | - |
| dc.subject | simultaneous perturbation stochastic approximation method | - |
| dc.subject | simulated annealing | - |
| dc.subject | transonic fan design | - |
| dc.title | Optimal Design of Transonic Fan Blade Leading Edge Shape Using CFD and Simultaneous Perturbation Stochastic Approximation Method | - |
| dc.type | Article | - |
| Appears in Collections: | MIT Items | |
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