Influence of 3D printing process parameters on the mechanical properties and mass of PLA parts and predictive models

被引:66
作者
Afonso, Joao Araujo [1 ]
Alves, Jorge Lino [1 ]
Caldas, Gabriela [2 ]
Gouveia, Barbara Perry [3 ,4 ]
Santana, Leonardo [5 ]
Belinha, Jorge [6 ]
机构
[1] Univ Porto, Fac Engn, Dept Engn Mecan, Porto, Portugal
[2] Inst Ciencia & Inovacao Engn Mecan & Engn Ind INE, Porto, Portugal
[3] Inst Engn Mecan IDMEC, Lisbon, Portugal
[4] Univ Lisbon, Inst Super Tecn, Dept Engn Mecan, Lisbon, Portugal
[5] Univ Fed Santa Catarina, Dept Engn Mecan, Florianopolis, SC, Brazil
[6] Inst Engn Porto ISEP, Dept Engn Mecan, Porto, Portugal
关键词
FFF; PLA; Extrusion temperature; Print speed; Predictive models; Mass and mechanical properties; ORIENTATION; QUALITY;
D O I
10.1108/RPJ-03-2020-0043
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose This paper aims to evaluate the influence of the parameters of the Fused Filament Fabrication (FFF) process on the mechanical properties and on the mass of parts printed in Polylactic Acid (PLA). In addition, the authors developed predictive models for the analysed responses. Design/methodology/approach A full Factorial type of experimental planning method was used to define the conditions for manufacturing parts according to the variation of the construction parameters, extrusion temperature and print speed. Samples were printed for tensile, flexion and compression tests. Their mass was measured. Multiple regression methods, based on power equations, were used to build the forecasting models. Findings It was found that the extrusion temperature was the parameter of greatest influence in the variation of the analysed responses, mainly because it generates behaviour patterns and indirectly demonstrates thermal/rheological characteristics of the material used. Print speed affects responses, however, with variations dependent on part geometry and printer hardware/software. It was possible to establish prediction models with low error rates in relation to the experimental values. Originality/value The study demonstrates a good relation between the use of a structured experimental planning method as the basis for the development of predictive models based on mathematical equations, the same structure of which can be used to describe different responses.
引用
收藏
页码:487 / 495
页数:9
相关论文
共 38 条
[1]   Experimental Optimization of Fused Deposition Modelling Processing Parameters: a Design-for-Manufacturing Approach [J].
Alafaghani, Ala'aldin ;
Qattawi, Ala ;
Alrawi, Buraaq ;
Guzman, Arturo .
45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45), 2017, 10 :791-803
[2]  
[Anonymous], 2012, Plastics-Determination of tensile properties. Part 1: General principles, V2nd
[3]  
[Anonymous], 2004, J. Manuf. Process, DOI DOI 10.1016/S1526-6125(04)70071-7
[4]  
[Anonymous], 2010, ISO 178
[5]  
[Anonymous], 2002, ISO 604:ISO 604:ISO 604
[6]  
Ashby Michael., 2014, Materials and Design, VThird, P240, DOI [10.1016/B978-0-08-098205-2.00019-6, DOI 10.1016/B978-0-08-098205-2.00019-6]
[7]   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)
[8]   On the application of grey Taguchi method for benchmarking the dimensional accuracy of the PLA fused filament fabrication process [J].
Aslani, Kyriaki-Evangelia ;
Kitsakis, Konstantinos ;
Kechagias, John D. ;
Vaxevanidis, Nikolaos M. ;
Manolakos, Dimitrios E. .
SN APPLIED SCIENCES, 2020, 2 (06)
[9]   Experimental study on the 3D-printed plastic parts and predicting the mechanical properties using artificial neural networks [J].
Bayraktar, Omer ;
Uzun, Gultekin ;
Cakiroglu, Ramazan ;
Guldas, Abdulmecit .
POLYMERS FOR ADVANCED TECHNOLOGIES, 2017, 28 (08) :1044-1051
[10]  
FormFutura, 2015, PLA PREMIUM FORMFUTU