Improvement of Surface Roughness and Hydrophobicity in PETG Parts Manufactured via Fused Deposition Modeling (FDM): An Application in 3D Printed Self-Cleaning Parts

被引:48
|
作者
Barrios, Juan M. [1 ]
Romero, Pablo E. [1 ]
机构
[1] Univ Cordoba, Dept Mech Engn, Medina Azahara Ave 5, E-14071 Cordoba, Spain
关键词
fused deposition modeling (FDM); polyethylene terephthalate glycol (PETG); surface roughness; sliding angle; contact angle; hydrophobicity; self-cleaning; Taguchi method; ANOVA; DIMENSIONAL ACCURACY; ADVANTAGES; FILAMENTS;
D O I
10.3390/ma12152499
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The fused deposition modeling (FDM) technique is used today by companies engaged in the fabrication of traffic signs for the manufacture of light-emitting diode LED spotlights. In this sector, the surface properties of the elements used (surface finish, hydrophobic features) are decisive because surfaces that retain little dirt and favor self-cleaning behavior are needed. A design of experiments (L27) with five factors and three levels has been carried out. The factors studied were: Layer height (LH), print temperature (T), print speed (PS), print acceleration (PA), and flow rate (F). Polyethylene terephthalate glycol (PETG) specimens of 25.0 x 25.0 x 2.4 mm have been printed and, in each of them, the surface roughness (R-a,R-0, R-a,R-90), sliding angle (SA(0), SA(90)), and contact angle (CA(0), CA(90)) in both perpendicular directions have been measured. Taguchi and ANOVA analysis shows that the most influential variables in this case are printing acceleration for R-a,R- 0 (p-value = 0.052) and for SA(0) (p-value = 0.051) and flow rate for R-a,R- 90 (p-value = 0.001) and for SA(90) (p-value = 0.012). Although the ANOVA results for the contact angle are not significant, specimen 8 (PA = 1500 mm/s(2) and flow rate F = 110%) and specimen 10 (PA =1500 mm/s(2) and F = 100%) have reached contact angle values above or near the limit value for hydrophobia, respectively.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Leveraging CO2 laser cutting for enhancing fused deposition modeling (FDM) 3D printed PETG parts through postprocessing
    Sabri, Hashem
    Mehrabi, Omid
    Khoran, Mohammad
    Moradi, Mahmoud
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2024,
  • [2] DESIGN OF SELF-SUPPORTED 3D PRINTED PARTS FOR FUSED DEPOSITION MODELING
    Lischke, Fabian
    Tovar, Andres
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 4, 2016,
  • [3] Strengthening of 3D Printed Fused Deposition Manufactured Parts Using the Fill Compositing Technique
    Belter, Joseph T.
    Dollar, Aaron M.
    [J]. PLOS ONE, 2015, 10 (04):
  • [4] Surface Roughness Analysis of 3D Printed Parts Using Response Surface Modeling
    Biglete, Emmanuelle R.
    Manuel, Mark Christian E.
    Dela Cruz, Jennifer C.
    Verdadero, Marvin S.
    Diesta, John Michael B.
    Miralpez, Daniel Niko G.
    Javier, Ryan Angelo C.
    Picato, Jemuel Ian C.
    [J]. 2020 11TH IEEE CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC), 2020, : 191 - 196
  • [5] Surface roughness comparison between printed parts manufactured via open source and commercial 3D printing machine
    Dong, Lim Guo
    bin Alkahari, Mohd Rizal
    bin Ramli, Faiz Redza
    Sudin, Mohd Nizam
    [J]. PROCEEDINGS OF INNOVATIVE RESEARCH AND INDUSTRIAL DIALOGUE 2018 (IRID'18), 2019, : 190 - 191
  • [6] Investigate the Effect of Chemical Post Processing on the Surface Roughness of Fused Deposition Modeling Printed Parts
    Abdulridha, Hind H.
    Abbas, Tahseen F.
    Bedan, Aqeel S.
    [J]. ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2024, 18 (02) : 47 - 60
  • [7] Effect of in situ thermal treatment on interlayer adhesion of 3D printed polyetherimide (PEI) parts produced by fused deposition modeling (FDM)
    Nguyen, Khanh Q.
    Vuillaume, Pascal Y.
    Hu, Lei
    Vachon, Andro
    Diouf-Lewis, Audrey
    Marcoux, Pier -Luc
    Robert, Mathieu
    Elkoun, Said
    [J]. MATERIALS TODAY COMMUNICATIONS, 2024, 39
  • [8] Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling
    Azahara Cerro
    Pablo E. Romero
    Okan Yiğit
    Andres Bustillo
    [J]. The International Journal of Advanced Manufacturing Technology, 2021, 115 : 2465 - 2475
  • [9] Use of machine learning algorithms for surface roughness prediction of printed parts in polyvinyl butyral via fused deposition modeling
    Cerro, Azahara
    Romero, Pablo E.
    Yigit, Okan
    Bustillo, Andres
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (7-8): : 2465 - 2475
  • [10] The improvement of mechanical and thermal properties of polyamide 12 3D printed parts by fused deposition modelling
    Rahim, T. N. A. T.
    Abdullah, A. M.
    Akil, H. Md
    Mohamad, D.
    Rajion, Z. A.
    [J]. EXPRESS POLYMER LETTERS, 2017, 11 (12): : 963 - 982