Using fractal dimensions for determination of porosity of robot laser-hardened specimens

Abstract

The porous structure of a material is an important mechanical property that affects the hardness of materials. We cannot apply Euclidian geometry to describe the porosity of hardened specimens because porosity is very complex. Here we use fractal geometry to describe the porosity of robot laser-hardened specimens. In this paper, we describe how the parameters (speed and temperature) of the robot laser cell affect porous metal materials using a new method, fractal geometry. We describe a new technological process of hardening, which can decrease the porosity of hardened specimens. The new process uses robot laser hardening with an overlapping laser beam. First, we hardened specimens using different velocities and temperatures and then repeated the process. In addition, we present how the speed and temperature affect the porosity in two different processes of robot laser hardening. Furthermore, we present the improved results after hardening with the overlap process. To analyse the results, we used one method of intelligent system, neural networks and a relationship was obtained by using a four-layer neural network. We compare both processes.