Modelling and estimation of tensile behaviour of polylactic acid parts manufactured by fused deposition modelling using finite element analysis and knowledge-based library

Zhou, Xunfei; Hsieh, Sheng‐Jen; Ting, Chen-Ching

doi:10.1080/17452759.2018.1442681

Cited by 58 publications

(29 citation statements)

References 31 publications

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“…A literature review on the statistical relations between the extrusion conditions and the properties of the final parts was made in [21]. It was found that the mechanical properties are strongly correlated to the layer thickness [17,22], the build orientation [17,7,23,24], and the infill density of the parts [17,25,26]. The surface roughness is significantly influenced by the layer thickness [27] and the build orientation [28].…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of a numerical model for the strand shape in material extrusion additive manufacturing

Serdeczny

Comminal

Pedersen

et al. 2018

Additive Manufacturing

124

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We investigate experimentally and numerically the influence of the processing conditions on the cross-section of a strand printed by material extrusion additive manufacturing. The parts manufactured by this method generally suffer from a poor surface finish and a low dimensional accuracy, coming from the lack of control over the shape of the printed strands. Using optical microscopy, we have measured the cross-sections of the extruded strands, for different layer heights and printing speeds. Depending on the processing conditions, the cross-section of the strand can vary from being almost circular to an elongated rectangular shape with rounded edges. For the first time, we have compared the measurements of strands' cross-sections to the numerical results of a three-dimensional computational fluid dynamics model of the deposition flow. The proposed numerical model shows good agreement with the experimental results and is able to capture the changes of the strand morphology observed for the different processing conditions.

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Section: Introductionmentioning

confidence: 99%

Experimental validation of a numerical model for the strand shape in material extrusion additive manufacturing

Serdeczny

Comminal

Pedersen

et al. 2018

Additive Manufacturing

124

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“…In this study, the experimental design that is utilized is Taguchi's orthogonal array. In general, Taguchi's design is used by many engineers and researchers in order to conduct experiments with minimum number of trials [38][39][40][41]. It is considered as a simple, efficient, and systematic method for the optimization of the performance, quality and cost [42].…”

Section: Design Of Experimentsmentioning

confidence: 99%

Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis

Aslani

Chaidas

Kechagias

et al. 2020

JMMP

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This paper investigates the quality performance of FDM 3D printed models with thin walls. The design of experiments method (DOE) was used and nine models of the same size were fabricated in a low-cost 3D printer using polylactic acid (PLA) material. Two limited studied parameters were considered (extraction temperature and wall thickness), each one having three levels. External X and Y dimensions were measured using a micrometer, as well as four surface roughness parameters (Ra, Rz, Rt, Rsm) with a surface tester. Two optimization techniques (the Taguchi approach and Grey relational analysis) were utilized along with statistical analysis to examine how the temperature and wall thickness affect the dimensional accuracy and the surface quality of the parts. The results showed that high extraction temperature and median wall thickness values optimize both dimensional accuracy and surface roughness, while temperature is the most important factor.

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“…Because of the anisotropic properties induced by the layered manufacturing process in AM, a great number of studies have been dedicated to studying the influence of anisotropic behaviors on design activities [41][42][43]. The relevant literature in this field is reviewed in this section.…”

Section: Literature Reviewmentioning

confidence: 99%

Topology Optimization for Multipatch Fused Deposition Modeling 3D Printing

Hong

Cao

2020

Applied Sciences

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This paper presents a hybrid topology optimization method for multipatch fused deposition modeling (FDM) 3D printing to address the process-induced material anisotropy. The ‘multipatch’ concept consists of each printing layer disintegrated into multiple patches with different zigzag-type filament deposition directions. The level set method was employed to represent and track the layer shape evolution; discrete material optimization (DMO) model was adopted to realize the material property interpolation among the patches. With this set-up, a concurrent optimization problem was formulated to simultaneously optimize the topological structure of the printing layer, the multipatch distribution, and the corresponding deposition directions. An asynchronous starting strategy is proposed to prevent the local minimum solutions caused by the concurrent optimization scheme. Several numerical examples were investigated to verify the effectiveness of the proposed method, while satisfactory optimization results have been derived.

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Modelling and estimation of tensile behaviour of polylactic acid parts manufactured by fused deposition modelling using finite element analysis and knowledge-based library

Cited by 58 publications

References 31 publications

Experimental validation of a numerical model for the strand shape in material extrusion additive manufacturing

Experimental validation of a numerical model for the strand shape in material extrusion additive manufacturing

Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis

Topology Optimization for Multipatch Fused Deposition Modeling 3D Printing

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