Particle Swarm Optimization for automatic hardness measurement

Abstract

Particle Swarm Optimization for Automatic Hardness Measurement Hardness measurement enables fast and reliable identification of low quality material and helps to prevent its use in the production process. Automatic hardness measurement can speed up the measurement process and provides repeatable results in contrast to manual measurement that is time consuming and always affected by a human factor. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. This article introduces an algorithm that enables measurement of rough polished specimens and minimizes the effect of specimen surface properties.