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Process parameter optimization for Fused Filament Fabrication additive manufacturing of PLA/PHA biodegradable polymer blend

Muhammad Salman Mustafa, Muhammad Arslan Muneer, Muhammad Qasim Zafar, Muhammad Shoaib Arif, Ghulam Hussain, Farrukh Arsalan Siddiqui

2022International Polymer Processing17 citationsDOI

Abstract

Abstract Fused Filament Fabrication (FFF) is a widely embraced material extrusion (MEX) additive manufacturing (AM) process to produce complex three-dimensional structures, and it is typically used in the fabrication of biodegradable polymers for biomedical applications. However, FFF as a fabrication process for blended polymeric materials needs to be optimized for enhanced mechanical properties. In this work, biodegradable polylactic acid (PLA)/polyhydroxyalkanoate (PHA) dog-bone and notched specimens are printed to determine optimum printing parameters for superior mechanical properties in FFF additive manufacturing. The effect of layer thickness, infill density, and printing bed temperature on mechanical properties is investigated by employing a design of experiments (DoE) approach using response surface methodology (RSM). Experimental results showed the significance of the opted parameters for mechanical properties of the PLA/PHA blend. Then, optimum values for layer thickness, infill density, and printing bed temperature are identified for tensile and impact strength and an empirical relationship between parameters is formulated for low density and cost-effective fabrication. Finally, the analysis of variance (ANOVA) is performed to check the adequacy of the model for the influence of process parameters and their mutual interactions. The verification experiments validated the adequacy of the proposed model for PLA/PHA blend in FFF additive manufacturing.

Topics & Concepts

Fused filament fabricationMaterials scienceFabricationExtrusionPolylactic acidUltimate tensile strengthComposite materialDesign of experimentsBiodegradable polymerPolymerResponse surface methodologyProcess variableProcess (computing)Computer scienceOperating systemStatisticsPathologyMachine learningAlternative medicineMedicineMathematicsAdditive Manufacturing and 3D Printing Technologies3D Printing in Biomedical ResearchBone Tissue Engineering Materials
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