Prototyping Direction Optimization of Points Data Oriented Rapid Prototyping Based on Genetic Algorithm

Abstract

A new approach was proposed as a prototyping direction optimization of points data. Based on perspective theory, a curve surface was built up on the peak point of the produced point lattice of an entity. A lattice grid was used to represent the represent volume of the entity, which was employed in rapidly calculating the represent volume in real time. After analyzing the optimal object functions and strategy, authors adopted the genetic algorithm on selection of operators, cross breeding operators, mutation operators, iteration termination condition and colony scales, etc. The optimization program was set up using Matlab and the optimization was obtained for prototyping direction. At the end of the paper, the aforementioned approach was verified using an actual example, which was further validated on the rapid prototyping machine. The simulation results show that a three-dimensional reconstruction was not necessary based on this proposed points data prototyping direction optimization. The results also indicate that a perfect optimization has been achieved for real time optimization in a space with 360 degree. On the basis of the aforementioned optimization approach, the best position of an entity can be located for rapid prototyping, which can increase prototyping efficiency and reduce the time spending on prototyping. It then can lower the cost.

The Project Supported by Zhejiang Provincial Natural Science Foundation of China: 502140. The Project Supported by Ningbo City Youth Foundation of China: 2003A62021.