A GRADIENT-SIMULATED ANNEALING ALGORITHM OF PRE-LOCATION-BASED BEST FITTING OF BLANK TO COMPLEX SURFACES MACHINING
A GRADIENT-SIMULATED ANNEALING ALGORITHM OF PRE-LOCATION-BASED BEST FITTING OF BLANK TO COMPLEX SURFACES MACHINING
基本信息来源于合作网站,原文需代理用户跳转至来源网站获取
摘要:
The algorithm is divided into two steps. The first step pre-locates the blank by aligning its centre of gravity and approximate normal vector with those of destination surfaces, with largest overlap of projections of two objects on a plane perpendicular to the normal vector. The second step is optimizing an objective function by means of gradient-simulated annealing algorithm to get the best matching of a set of distributed points on the blank and destination surfaces. An example for machining hydroelectric turbine blades is given to verify the effectiveness of algorithm.