Title :
Dual spherical spline: A new representation of ruled surface optimization
Author :
Yayun Zhou ; Schulze, J. ; Schaffler, S.
Author_Institution :
Siemens AG, CT T GTF MSO, Munich, Germany
Abstract :
A ruled surface optimization model is proposed in the paper. It is set up especially to design a blade surface as a ruled surface. In this model, the ruled surface is defined as a dual spherical spline and the control points of the dual spherical spline are served as optimization variables. As points on dual spherical splines correspond to infinite lines in Euclidean space, two directrix curves of a ruled surface are derived by intersecting the ruled surface with the fixed hub and shroud surfaces. In this way, the proposed optimization model can reduce one third number of the variables compared with the conventional ruled surface parametrization methods, such as tensor product surface. Besides, the optimized ruled surface defined as a dual spherical spline has direct link to the manufacturing process.
Keywords :
blades; design engineering; machining; optimisation; splines (mathematics); tensors; Euclidean space; blade surface design; control points; direct link; directrix curve; dual spherical spline; fixed hub; infinite line; manufacturing process; optimization variable; optimized ruled surface; ruled surface optimization model; ruled surface parametrization method; shroud surface; tensor product surface; Blades; Fasteners; Geometry; Optimization; Splines (mathematics); Surface treatment; Vectors; Blade Geometry Design; Dual Spherical Spline; Optimization; Ruled Surface;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485356