Iterative Genetic-Algorithm-Based Surface Reconstruction Method for Repair of Twisted Blade

Hai Dong Wu; Jie Dong Chen

doi:10.4028/www.scientific.net/AMM.722.125

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 722Iterative Genetic-Algorithm-Based Surface...

Iterative Genetic-Algorithm-Based Surface Reconstruction Method for Repair of Twisted Blade

Abstract:

When remanufacturing complex surface parts, such as twisted blade, it is difficult to obtain an accurate model. An iterative Genetic-algorithm-based-surface reconstruction method for repair of twisted blade is presented. Genetic algorithm is applied in parametrizing data points and computing knot vectors. Then, the control points of the fitting B-spline surface are calculated by least-squares approximation through either SVD or LU methods. It shows that the accuracy of the method is improved significantly when three different twisted blades surfaces are verified by using the method.

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Periodical:

Applied Mechanics and Materials (Volume 722)

Pages:

125-130

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.722.125

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Online since:

December 2014

Authors:

Hai Dong Wu*, Jie Dong Chen

Keywords:

B-Spline Surface, Genetic Algorithm (GA), Surface Reconstruction, Twisted Blade

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