Surface quality of printed porous materials for permeability rig calibration

被引:15
作者
Bodaghi, M. [1 ,2 ]
Mobin, M. [3 ]
Ban, D. [3 ]
Lomov, S., V [4 ]
Nikzad, M. [3 ]
机构
[1] CERI Mat & Proc CERI MP, IMT Lille Douai, F-59508 Douai, France
[2] Univ Lille, F-59000 Lille, France
[3] Swinburne Univ Technol, Fac Sci Engn & Technol, Hawthorn, Vic, Australia
[4] Katholieke Univ Leuven, Dept Mat Engn, Leuven, Belgium
关键词
3d printing; roughness; composites; mesoporous; manufacturing; flow; fluids; media; MULTI JET FUSION; MECHANICAL-PROPERTIES; PROCESS PARAMETERS; PART QUALITY; ROUGHNESS; STEREOLITHOGRAPHY; BENCHMARK; FINISH; FLOW; OPTIMIZATION;
D O I
10.1080/10426914.2021.1960994
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The enhancement of surface roughness of a textile-like porous medium fabricated by 3D printing techniques is crucial for the repeatability of permeability experiments from test to test. This paper aims at comparison of the surface quality of textile-like porous media fabricated by Stereolithography (SLA), Fused Deposition Modeling (FDM), and Multi Jet Fusion (MJF) 3D printing techniques. Hence, a 3D optical profilometer was used to evaluate the 3D areal surface texture parameters of samples according to ISO 25178. The results revealed that SLA technique produces the smoothest surface with the lowest deviation in the measured values of the surface characteristics. Also, the surface parameters such as the average roughness (Sa) and root mean square (RSM) roughness (Sq) of the top surface of MJF samples are lower than those measured for FDM sample. Furthermore, filling pattern of the FDM technique as a trajectory filament-based AM process results in rougher horizontal surfaces compared to those produced by a non-trajectory powder-based process such as MJF.
引用
收藏
页码:548 / 558
页数:11
相关论文
共 74 条
[1]   Fabrication direction optimization to minimize post-machining in layered manufacturing [J].
Ahn, Daekeon ;
Kim, Hochan ;
Lee, Seokhee .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (3-4) :593-606
[2]   Representation of surface roughness in fused deposition modeling [J].
Ahn, Daekeon ;
Kweon, Jin-Hwe ;
Kwon, Soonman ;
Song, Jungil ;
Lee, Seokhee .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (15-16) :5593-5600
[3]   Critical parameters influencing the quality of prototypes in fused deposition modelling [J].
Anitha, R ;
Arunachalam, S ;
Radhakrishnan, P .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 118 (1-3) :385-388
[4]   Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis [J].
Aslani, Kyriaki-Evangelia ;
Chaidas, Dimitrios ;
Kechagias, John ;
Kyratsis, Panagiotis ;
Salonitis, Konstantinos .
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2020, 4 (02)
[5]   On the surface quality of additive manufactured parts [J].
Barari, A. ;
Kishawy, H. A. ;
Kaji, F. ;
Elbestawi, M. A. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 89 (5-8) :1969-1974
[6]  
Bartolo PJ, 2011, STEREOLITHOGRAPHY: MATERIALS, PROCESSES AND APPLICATIONS, P1
[7]   Additively manufactured three dimensional reference porous media for the calibration of permeability measurement set-ups [J].
Bodaghi, M. ;
Ban, D. ;
Mobin, M. ;
Park, C. H. ;
Lomov, S., V ;
Nikzad, M. .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2020, 139
[8]   On the variability of permeability induced by reinforcement distortions and dual scale flow in liquid composite moulding: A review [J].
Bodaghi, M. ;
Lomov, S. V. ;
Simacek, P. ;
Correia, N. C. ;
Advani, S. G. .
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2019, 120 :188-210
[9]   Surface roughness prediction in fused deposition modelling by neural networks [J].
Boschetto, A. ;
Giordano, V. ;
Veniali, F. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (9-12) :2727-2742
[10]   Integrated genetic programming and genetic algorithm approach to predict surface roughness [J].
Brezocnik, M ;
Kovacic, M .
MATERIALS AND MANUFACTURING PROCESSES, 2003, 18 (03) :475-491