Mechanical Characterization of Banana Fibers/PLA Biocomposite Samples Produced by Fused Deposition Modeling Based 3D Printing Using Taguchi Method

International Journal of Mechanical Engineering

© 2024 by SSRG - IJME Journal

Volume 11 Issue 8

Year of Publication : 2024

Authors : Amol Kolhe, Sachin Karale, Prashant Anerao, Yashwant Munde

10.14445/23488360/IJME-V11I8P110

How to Cite?

Amol Kolhe, Sachin Karale, Prashant Anerao, Yashwant Munde, "Mechanical Characterization of Banana Fibers/PLA Biocomposite Samples Produced by Fused Deposition Modeling Based 3D Printing Using Taguchi Method," SSRG International Journal of Mechanical Engineering, vol. 11,  no. 8, pp. 84-94, 2024. Crossref, https://doi.org/10.14445/23488360/IJME-V11I8P110

Abstract:

In order to explore, evaluate, and maximize the impact strength of Banana Fibers/Polylactic Acid (PLA) Biocomposite created by Fused Deposition Modeling (FDM), this research applies the Taguchi technique and Analysis of Variance (ANOVA). This study investigates how important printing parameters affect impact strength and compression properties, including nozzle size, infill patterns, layer thickness, and nozzle temperature. The settings are changed within predetermined ranges using an experimental design based on a Taguchi L16 orthogonal array. The composite with 3% banana fibers has a maximum impact strength of 41 J/m, 70 % more compared with neat PLA, according to the Analysis of Variance (ANOVA) examination of the data. This is followed by 0.6 mm nozzle size, zig-zag infill pattern, 0.3 mm layer thickness, and 190°C nozzle temperature. The compressive strength and compressive modulus are found to be 44 MPa (69 % more compared with neat PLA) and 1653 MPa (71 % more compared with neat PLA), respectively, for a 3 % banana fibers composite. The most significant variables, according to an ANOVA, are nozzle size and the percentage of banana fibers, which contribute 30.44% and 27.31%, respectively.

Keywords:

ANOVA, Banana fibers, Biocomposite, Mechanical properties, Fused Deposition Modeling.

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