| Autors: Schwicker M P., Nikolov, N. D. Title: Strength Optimization and Strength Prediction of Fused Deposition Modelled Specimens Based on Process Parameters Keywords: fused deposition modelling, strength optimization, strength Abstract: There are many factors, which influence the strength of parts produced by Fused Deposition Modeling. In this study, the effects of main manufacturing process parameters are quantified and optimized using the Design of Experiment approach, in order to produce components with higher tensile strength. First, the main manufacturing parameters, which can be set in the slicing software, are explained. Ten parameters are selected for strength optimization, using standard tensile test specimens. The strength and elasticity modulus resulting from the parameters sets are determined and evaluated. It was found that the nozzle diameter, top and bottom layer orientation, infill amount and layer height have a major influence on strength. Additionally, the effects of filament color and time after building are examined and their effect on strength was found to be negligible. A regression model is developed to calculate optimized parameter sets. References Issue
Copyright International Journal of Mechanical Engineering and Robotics Research |
Цитирания (Citation/s):
1. Alali, A. S., Ahmed, M., Fatima, F., Anwer, M. K., Ibnauf, M., & Patel, J. (2023). Development and Characterization of Chitosan-Based Spray-Dried Solid Dispersions of Apigenin: 3D Printed Shell-Pill for Improved Efficacy of Model Flavonoid, https://www.preprints.org/manuscript/202304.0470/v1 doi:10.20944/preprints202304.0470.v1. - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus
