Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials

Abstract

The most popular method for additively printing metal components is selective laser melting (SLM), which works well for creating working models and prototypes. A fine metal powder, often (stainless) steel or aluminum, serves as the initial material. A very accurate laser is used to melt this layer by layer. The most important factor here is the short throughput time in comparison to milling. Selective laser melting becomes increasingly valuable as geometry becomes more complex. Presented study models the porosity of 3D SLM of metal materials using genetic programming and network theory. We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. The method’s usefulness and efficiency were confirmed by experimental work using an EOS M 290 3D printer and EOS Maraging Steel MS1. This study then presented a novel viewpoint on porosity and has important ramifications for additive manufacturing quality control, which could improve the accuracy and effectiveness of 3D metal printing. The goal was to present a modeling porosity of 3D SLM of metal materials by using a method of intelligent system.