Bezier Curve Fitting of Blade Profile considering Curvature Variation
Kadir KIRAN
Abstract
Open-access reader
Kadir KIRAN
Abstract
Open-access reader
This paper presents a single C2-continuous Bezier curve fitting procedure for a blade profile.The fitting procedure is based on nonlinear least squares approach and it also contains fairing term toachieve a minimum variation in the curvature of fitted Bezier curve. The Levenberg-Marquardt method isemployed to find Bezier curve control points and parameters for each data points. For validation, a wellknown LS89 blade profile data is used and a 12th degree single Bezier curve is obtained via proposedprocedure for this blade profile. Thanks to the fitting procedure, we are able to represent LS89 blade profile,accommodating 405 data points, with only 13 control points, which is a quite efficient way in terms ofblade profile design and optimization processes, and determination of manufacturing tolerances. Thus, theproposed fitting procedure has a great potential for practical applications.
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This paper presents a single C2-continuous Bezier curve fitting procedure for a blade profile.The fitting procedure is based on nonlinear least squares approach and it also contains fairing term toachieve a minimum variation in the curvature of fitted Bezier curve. The Levenberg-Marquardt method isemployed to find Bezier curve control points and parameters for each data points. For validation, a wellknown LS89 blade profile data is used and a 12th degree single Bezier curve is obtained via proposedprocedure for this blade profile. Thanks to the fitting procedure, we are able to represent LS89 blade profile,accommodating 405 data points, with only 13 control points, which is a quite efficient way in terms ofblade profile design and optimization processes, and determination of manufacturing tolerances. Thus, theproposed fitting procedure has a great potential for practical applications.
Key concepts: Bézier curve, Curve fitting, Curvature, Blade (archaeology), Data point, Computer science, Algorithm, Mathematics