Simulation Algorithm of Sample Strategy for CMM Based on Neural Network Approach

Abstract

This paper proposes the algorithm for analyses of sample strategies. The back propagation artificial neural network approach is employed to approximate CMM measurements of the circular features of the aluminum workpieces machined with milling process. The discrete data is transformed into continuous nondeterministic profiles. The profiles are used for simulation to estimate the maximum possible error in different sample strategies for various diameters.