Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390722
Title: Performance prediction of high lift rudders operating under steady and periodic flow conditions
Author: Date, James Charles
ISNI:       0000 0001 3405 6393
Awarding Body: University of Southampton
Current Institution: University of Southampton
Date of Award: 2001
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Abstract:
A detailed investigation has been conducted into the use of Reynolds-Averaged Navier-Stokes (RANS) methods, for predicting the performance of conventional and high lift rudder sections, operating under free stream and periodic propeller flow conditions. The standard and RNG k -ε turbulence models with wall functions are applied. A methodical step wise approach to solving the propeller-rudder flow problem is shown to be necessary, in order to ensure the highest degree of accuracy and credibility in the results. By conducting detailed verification and validation studies at every stage of the research, the critical parameters required for accurate rudder performance prediction, in terms of skin frictional drag, pressure drag and lift force are identified. Steady state and time-accurate computations of the free stream flow over a NACA 0012 section fitted with a Gurney flap are conducted. Good agreement is found between the computed and experimental results, validating the RANS method for predicting flows about high life rudder sections with blunt trailing edge features. The RANS method is shown to be capable of predicting the performance response of both conventional and high lift rudder sections, when subjected to periodic transverse gusts, similar to the flow produced in the race of a propeller. The research presents the first published RANS computations for high life Schilling rudder sections, operating under free stream and periodic flow conditions. The high quality grids created around the rudder sections investigated, consisted of between 40000 and 85000 grid nodes.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.390722  DOI: Not available
Keywords: Fluid mechanics
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