Investigation of bending and compression properties on PLA-brass composite using FDM. (December 2022)

• Record Type: Journal Article
• Authors: Selvamani, S.K.; Ngui, W.K.; Rajan, K.; Samykano, M.; Kumar R, Reji; Badadhe, Avinash M.
• Is Part Of: Physics and chemistry of the earth. Volume 128(2022)
• Publication Date: 2022-12
• Subjects: Fused deposition modeling -- Polylactic acid -- Brass -- Mechanical properties; Geophysics -- Periodicals; Geochemistry -- Periodicals; Earth sciences -- Periodicals; Geodesy -- Periodicals; Astrophysics -- Periodicals; 550
• DOI: 10.1016/j.pce.2022.103251
• Languages: English
• ISSNs: 1474-7065

Abstract

Abstract: Fused Deposition Modeling (FDM) is often favored over conventional techniques as it can produce highly accurate three-dimensional models with minimal material waste. Nevertheless, in FDM, the mechanical properties of different materials used in the FDM process are of ongoing interest. Since the properties of brass alloys in the FDM process are still lacking, the present study focuses on the bending and compression properties of the FDM printed part with 15 wt% and 70 wt% of brass-reinforced polylactic acid (PLA) and various infill patterns. The specimen preparation and testing were carried out accordingly to ASTM D790 and ASTM D695, respectively. The impact of five different infill patterns and two different compositions on the bending and compression properties was also analyzed using response surface methodology. A prediction model is then developed to predict the desired bending and compression properties. Results show that the 15 wt% of brass composition specimens have better properties compared with the 70 wt% of brass composition. This is due to an increase in the wt% of brass composition, which resulted in lower interlayer adhesion energy with the PLA. It was also found that the concentric and grid pattern are the best printing pattern for bending and compression properties, respectively. Highlights: The effect of FDM process parameters on the mechanical properties has been analyzed. Pattern and part density significantly affect the mechanical properties of FDM. Parametric optimization of FDM process resulting significant increase in FDM productivity.