Quantitative Determination on Fiber Textured Materials Derived by Particle Swarm Optimization

In this article presented, the maximum entropy method (MEM) assisted by the particle swarm optimization (PSO) algorithm with inertia weight factor was adopted to quantify the volume percentage of crystalline grains corresponding to the {100} fiber texture in high-purity Aluminum foils. The results derived from the inverse pole figures indicate a simpler and more convenient method than the ones derived by the conventional metallographic analysis in comparison, which possess a relative error less than 5% in general. In consideration of the measurement error relating to the metallographic method, this improved quantification is more accurate and acceptable.