This work investigates the effect of 3D-printing parameters on surface roughness in polylactic acid printed material by adopting Taguchi's design of experiments approach. The control parameters under study were: number of shells, printing temperature, infill rate, and printing pattern. As the response, mean surface roughness (Ra) was selected. The control parameters were assigned to an L9 orthogonal array to organize the experiments and obtain the mean surface roughness results. It is concluded that printing temperature is the dominant parameter that affects surface roughness when it comes to 3D printing of polylactic acid material followed by printing pattern, infill rate, and the number of shells.
VillacresJNobesDAyranciC. Additive manufacturing of shape memory polymers: effects of print orientation and infill percentage on mechanical properties. Rap Prototyp J2018; 24: 744–751.
2.
MiladinovićSRadosavljevićSVeličkovićS, et al.Optimization of efficiency of worm gear reducer by using taguchi-grey method. Appl Eng Lett2017; 2: 69–75.
3.
AslaniK-EKitsakisKKechagiasJD, et al.On the application of grey Taguchi method for benchmarking the dimensional accuracy of the PLA fused filament fabrication process. SN Appl Sci2020; 2: 1016.
4.
HervanSZAltınkaynakAParlarZ. Hardness, friction and wear characteristics of 3D-printed PLA polymer. Proc Inst Mech En J: J En Tribol2020; 235: 1590–1598.
5.
NayakSKSatapathyA. Wear analysis of waste marble dust-filled polymer composites with an integrated approach based on design of experiments and neural computation. Proc Inst Mech En J: J En Tribol2020; 234: 1846–1856.
6.
Osuch-SłomkaERutaRSłomkaZ. The use of a modern method of designing experiments in ball-cratering abrasive wear testing. Proc Inst Mech En J: J En Tribol2013; 227: 1177–1187.
7.
AnjumNSureshaBPrasadSL, et al.Wear behaviour of Sansevieria and carbon fiber reinforced epoxy with nanofillers: taguchi method. Tribol Ind2020; 42: 443–460.
8.
SoodAKOhdarRKMahapatraSS. Experimental investigation and empirical modelling of FDM process for compressive strength improvement. J Adv Res2012; 3: 81–90.
9.
SoodAKEqubalAToppoV, et al.An investigation on sliding wear of FDM built parts. CIRP J Manuf Sci Technol2012; 5: 48–54.
10.
GurralaPKRegallaSP. Multi-objective optimisation of strength and volumetric shrinkage of FDM parts. Virtual Phys Prototyp2014; 9: 127–138.
11.
PalićNSlavkovićVJovanovićŽ, et al.Mechanical behaviour of small load bearing structures fabricated by 3D printing. Appl Eng Lett2019; 4: 88–92.
12.
HorvathDNooraniRMendelsonM. Improvement of surface roughness on ABS 400 polymer using design of experiments. Mater Sci Forum2007; 561–565: 2389–2392.
13.
BarriosJMRomeroPE. Improvement of surface roughness and hydrophobicity in PETG parts manufactured via fused deposition modeling (FDM): an application in 3D printed self-cleaning parts. Mater2019; 12: 1–15.
14.
Gomez-GrasGPérezMAFabregas-MorenoJ, et al.Experimental study on the accuracy and surface quality of printed versus machined holes in PEI ultem 9085 FDM specimens. Rapid Prototyp J2021; 27: 1–12.
15.
ChaiXChaiHWangX, et al.Fused deposition modeling (FDM) 3D printed tablets for intragastric floating delivery of domperidone. Sci Rep2017; 7.
16.
YaoTDengZZhangK, et al.A method to predict the ultimate tensile strength of 3D printing polylactic acid (PLA) materials with different printing orientations. Compos B: En2019; 163: 393–402.
17.
RicottiRCiardoDPansiniF, et al.Dosimetric characterization of 3D printed bolus at different infill percentage for external photon beam radiotherapy. Phys Med2017; 39: 25–32.
18.
LubomboCHuneaultMA. Effect of infill patterns on the mechanical performance of lightweight 3D-printed cellular PLA parts. Mater Today Commun2018; 17: 214–228.
