Experimental classification and response surface modelling of compression property of 3D printed polylactic acid parts

Citation

Chockalingam, Palanisamy and Krishnan, Ganesh Kumar (2021) Experimental classification and response surface modelling of compression property of 3D printed polylactic acid parts. In: 6th International Conference on Green Design and Manufacture 2020, IConGDM 2020, 23 - 24 July 2020.

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Abstract

Additive manufacturing (AM) is a process of building three dimensional (3D) solid objects from a computer model and STL files. Recent developments demand three-dimensional printed product with quality mechanical properties. In this work samples were printed with combination of properties to study the influencing process parameter of the 3D printer. Polylactic Acid (PLA) material with the MakerBot 3D printer used this study. The layer thickness, Infill density and number of shells are the properties studied. Finally, a Response Surface Model (RSM) for compressive load capacity of part is created. Result indicate that compression load carrying capacity of the parts increasing with increasing layer thickness, but, increasing number of shell and increasing layer thickness reducing load carrying capacity. This result concludes that minimum layer thickness and higher Infill density, a better load carrying capacity achieved.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Additive manufacturing
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: 30 Jun 2021 13:46
Last Modified: 30 Jun 2021 13:46
URII: http://shdl.mmu.edu.my/id/eprint/8777

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