In this paper was analyzed and experimentally investigated two additive technologies: Stereolithography -SLA i Fused Deposition Modeling -FDM. The dimensional accuracy (deviation from the given dimensions in relation to the previously defined 3D CAD model as well as the surface roughness of the printed samples by the additive technologies FDM and SLA) was analyzed. The process parameters of these additive technologies were optimized in order to achieve better dimensional accuracy and less surface roughness on the products. Additionally, a comparison of FDM and SLA additive technologies was performed.

This Publication has to be referred as: Cekic, A[hmet]; Muhamedagic, K[enan]; Cohodar, M[aida]; Begic-Hajdarevic, D[erzija] & Biogradlija, S[amra] (2019). Experimental Investigation of Effect of Overhang Tool Length on Tool Vibration and Surface Roughness, Proceedings

For increase of industrial competitiveness and rapid market entry with new products, various additive technologies are increasingly being used today. This paper presents the experimental results of the study the impact of the Fused Deposit Modeling (FDM) process parameters on product quality using different materials. The work is primarily focused on optimizing the important process parameters for the FDM process using the new unexplored material. The making of test samples for dimensional accuracy and mechanical properties tests was carried out on two devices, Flashforge Finder and Ultimaker 3 with two different materials: standard PLA and new composite wood (polymer + wood) material. The obtained results show that new materials that can be produced from wood waste with a certain percentage of adhesives can be used, but before that, process parameters must be precisely defined in order to achieve satisfactory quality of the final products. In this way it has a positive impact on the environment, because wood is a natural and ecologically pure material (CO2 neutral).

This paper presents the use of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to determine the optimum process parameters in plasma arc cutting of stainless steel. Two input process parameters, cutting speed and plasma gas pressure are considered and experiments are conducted based on Taguchi L9 orthogonal array. After performing the experiments, the surface roughness, cut perpendicularity and kerf width are measured. The analysis of variance (ANOVA) are performed in order to identify the effect of each input process parameters on the output responses. The results indicate that TOPSIS method is appropriate for solving multi-criteria optimization of process parameters. Results also showed that cutting speed of 2500 mm/min and plasma gas pressure of 6 bar are the optimum combination of process parameters.