4.5 Article

Characterization of Friction Stir-Welded Polylactic Acid/Aluminum Composite Primed through Fused Filament Fabrication

Journal

JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
Volume 31, Issue 3, Pages 2391-2409

Publisher

SPRINGER
DOI: 10.1007/s11665-021-06329-4

Keywords

FSW; hybrid composites; morphology; PLA; welding defect

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Two strategies are used to address the issue of low weld strength in friction stir welding (FSW) of thermoplastic materials: preparing aluminum-reinforced composite materials with high thermal conductivity and crystallinity, and using semi-consumable pins during FSW to compensate for material loss and void formation. Through systematic experimentation and analysis, the optimal FSW parameters were identified.
There are many possible reasons for low weld strength in FSW of thermoplastic; low thermal conductivity, high energy losses in friction stir welding (FSW), material spill-out, involvement of high mechanical forces, etc. To counter strike the above-mentioned issues which weaken the joint's strengths, two strategies have been approached. The first approach is based upon the preparation of aluminum (Al) layers-reinforced Polylactic acid (PLA)/Al composite material which must have high thermal conductivity and crystallinity for improved heat generation in FSW. In the second approach, the FSW has been performed using a semi-consumable pin of similar materials which can compensate for the materials loss and void formation during FSW. Alternating layer composite of (PLA)/Al was manufactured by modified fused filament fabrication (FFF) 3D printing process then welded by FSW process in next steps. In this study, the FSW process was performed by using a semi-consumable pin profile of PLA with varying tool rotation speed (TRS) (800, 1100, and 1400rpm), depth of semi-consumable pin (SPD) (2, 3 and 4 mm), and transverse speed (TVS) (20, 30 and 40mm/min). FSW joints were subjected to mechanical (tensile strength, percentage elongation, and modulus of toughness), morphological (fracture by scanning electron microscopy and surface profiling), structural (Fourier-transform infrared spectroscopy, x-ray diffraction) for optimizing the FSW process parameters. Analytic hierarchy process and genetic algorithm are implemented to acquire a single set of parameters which would result in the best value of tensile properties. The suggested levels are 1400 rpm, 2 mm, and 31.79 mm/min. of TRS, SPD, and TVS, respectively.

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