Optimization of mechanical properties of printed acrylonitrile butadiene styrene using RSM design

Optimization of mechanical properties of printed acrylonitrile butadiene styrene using RSM design

The aim of this study is to evaluate the effect of printing parameters and their interactions on the mechanical properties of ABS-based specimen, 3D printed by fused deposition modeling (FDM), using the response surface method. The manufacturing direction ( X , Y , or Z ) and the deposition angle (0...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology Vol. 100; no. 5-8; pp. 1363 - 1372
Main Authors: Abid, Sana, Messadi, Rihab, Hassine, Tarek, Ben Daly, Hachmi, Soulestin, Jérémie, Lacrampe, Marie France
Format: Journal Article
Language:English
Published: London Springer London 01-02-2019
Springer Nature B.V
Springer Verlag
Subjects:
ABS resins
Acrylonitrile butadiene styrene
CAE) and Design
Chemical and Process Engineering
Computer-Aided Engineering (CAD
Condensed Matter
Deformation
Deposition
Empirical analysis
Engineering
Engineering Sciences
Fused deposition modeling
Industrial and Production Engineering
Materials Science
Mathematical models
Mechanical Engineering
Mechanical properties
Media Management
Modulus of elasticity
Optimization
Original Article
Physics
Rapid prototyping
Response surface methodology
Tensile strength
Three dimensional models
Three dimensional printing
Yield stress
Fused deposition modeling (FDM)
Mechanical properties
Acrylonitrile butadiene styrene (ABS)
Response surface method (RSM)
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Description
Summary:The aim of this study is to evaluate the effect of printing parameters and their interactions on the mechanical properties of ABS-based specimen, 3D printed by fused deposition modeling (FDM), using the response surface method. The manufacturing direction ( X , Y , or Z ) and the deposition angle (0°, 30°, or 45°) are analyzed as input factors. The Young modulus, the yield stress, the tensile strength, and the deformation at fracture in tension are considered as responses. An empirical model for each response is built in terms of factors and their interactions. The predicted results are in good coherence with experimental ones. The original contribution of this paper consists in the evaluation of the optimal combination of manufacturing parameters thanks to the MINITAB software.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-018-2710-6