A Global Optimization Algorithm of Localization for Huge Sculpture Surface Blank

Blanks of sculptured surface usually do not exist positioning references. In order to improve the blank positioning, a global optimization algorithm of localization for huge sculpture surface blank is presented. The algorithm included two steps. The first step is prelocation, translate and rotate the blank to get the largest overlap of the projections of theoretical surface and blank on the false plane. The second step is the optimization of objective function by means of simulated annealing algorithm to get the best localization. The technique is applied to the positioning of a hydroelectric turbine blade. Results show that it is effective and the final positioning result is excellent.