Citation

Chockalingam, Palanisamy and Chin, Chee Wen and Krishnan, Ganesh Kumar (2021) Prediction of mechanical properties of 3D printed aluminium PLA: A fuzzy logic approach. ARPN Journal of Engineering and Applied Sciences, 16 (16). pp. 1641-1646. ISSN 1819-6608

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Abstract

Manufacturing sector is developing new and improved methods. 3D printing is one of the most innovative features. Desired final quality of the 3D printed part is crucial. The objective of this research is to develop a Fuzzy Logic Modelling to predict the tensile strength, hardness, and compression strength of 3D printed aluminium PLA part. The input 3D printing parameters used are the layer thickness, number of shells and infill density. A range of 0.1mm to 0.3 mm is used for layer thickness. Next, 1 to 4 number of shells parameters and infill density of 20% to 80% are used as well for the input printing parameters. The results obtained are fed into Fuzzy Inference System (FIS) in MATLAB software to develop a fuzzy system. Finally, the model was used to predict data for random input variables. With the input parameters new parts were printed and mechanical properties were measured. The comparison of experimental data and fuzzy predicted data shows that less than 5% of variations, which validate the developed model.

Item Type:	Article
Uncontrolled Keywords:	3D printing, aluminium PLA, infill density, layer thickness, shell
Subjects:	T Technology > TS Manufactures > TS155-194 Production management. Operations management
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Dec 2021 04:06
Last Modified:	03 Dec 2021 04:06
URII:	http://shdl.mmu.edu.my/id/eprint/9823

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