Constrained and unconstrained propeller blade optimization

No Thumbnail Available
Authors
Dorfling, Johann
Rokhsaz, Kamran
Advisors
Issue Date
2014-01-17
Type
Conference paper
Keywords
Research Projects
Organizational Units
Journal Issue
Citation
Johann Dorfling, Kamran Rokhsaz. Constrained and Unconstrained Propeller Blade Optimization. AIAA Guidance, Navigation, and Control Conference, 13-17 of January 2014, National Harbor, Maryland, http://dx.doi.org/10.2514/6.2014-0563.
Abstract

Propeller optimization by means of calculus of variations is addressed in this paper. A procedure for deriving the Euler-Lagrange equations for both unconstrained and constrained propeller blade twist optimization is presented. This same procedure can be followed in order to optimize other geometric parameters, but blade twist is considered here in order to investigate the feasibility of a variable twist propeller blade. Results from unconstrained twist optimization show that regardless of the operating condition (takeoff, climb, or cruise) the maximum efficiency occurs at significantly lower power coefficients than what a propeller will be required to absorb. Constrained optimization supports this observation by showing that for each operating condition a power constraint lowers the propeller efficiency. Twist distributions obtained from constrained optimization for each of the three operating conditions differ significantly from one another, but it is shown that the effect on performance is insignificant. This leads to the conclusion that a variable twist propeller is not viable for a typical aircraft mission. For the case of a loiter-dash type mission profile, however, analysis shows that a variable twist propeller blade is indeed feasible.

Table of Contents
Description
Paper submitted to the AIAA Guidance, Navigation, and Control Conference held at Gaylord National Resort & Convention Center, National Harbor (Maryland), 13-17 of January 2014.
Publisher
American Institute for Aeronautics and Astronautics, Inc.
Journal
Book Title
Series
AIAA Guidance, Navigation, and Control Conference: 13-17 of January 2014, National Harbor (Maryland).
PubMed ID
DOI
ISSN
EISSN