Production and characterization of PLA/MgAl2O4 scaffolds by 3D printing method (FDM) and their comparison with slurry method

Document Type : Original Articles

Authors

1 Materials Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan , Iran.

2 . Associate Professor, Materials Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan , Iran. y

Abstract

In the present study, magnesium aluminate bio-ceramic (MgAl2O4) with particle size of 27 to 40 nm was produced by combustion synthesis method. Also, PLA/MgAl2O4 polymer matrix composites were made using FDM and slurry welding methods and their properties were studied and compared. X-ray diffraction (XRD), scanning electron microscope (FE-SEM), infrared spectrometer (FT-IR) and inductively coupled plasma spectroscopy (ICP) were used to investigate the properties of the produced composites. XRD results showed that in the composite samples synthesized by FDM method, PLA has more crystallinity than the slurry method, which is caused by relatively slow cooling of the polymer melt. To investigate the bioactive properties of this composite, the simulated body solution (SBF) was used and the results of the ICP test showed that the amount of calcium and phosphorus in the fourth week in the PLA/MgAl2O4 printed sample was the highest and equal to 77 mg/L and respectively were 40 mg/L. These results show that the processing of these composites by the 3D printing method brings more degradability than the slurry method and has a higher quality for biological uses.

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https://doi.org/10.1016/j.matpr.2020.12.803
https://doi.org/10.1016/j.compositesb.2020.108336
 https://doi.org/10.1016/j.ijbiomac.2021.07.069
https://doi.org/10.1016/j.ijbiomac.2020.06.201
https://doi.org/10.1016/j.polymdegradstab.2019.109015
https://doi.org/10.1016/j.ceramint.2018.07.297
https://doi.org/10.1016/j.addma.2019.100883
https://doi.org/10.3390/coatings13020360
https://doi.org/10.1016/j.matchemphys.2022.127175
https://doi.org/10.1080/2374068X.2022.2080332
https://doi.org/10.1016/j.jmrt.2022.12.108
https://doi.org/10.1016/j.matdes.2020.109350
https://doi.org/10.1016/j.bioadv.2023.213523
https://doi.org/10.3390/ma16196506
https://doi.org/10.1016/j.msec.2020.110693
https://doi.org/10.1016/j.molstruc.2019.05.057
https://doi.org/10.1016/j.cap.2013.12.013
https://doi.org/10.1016/j.joei.2022.101152
https://doi.org/10.1016/j.compscitech.2017.04.037
https://doi.org/10.1016/j.ceramint.2020.10.051
https://doi.org/10.1016/j.jallcom.2017.08.085
 
 
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