An Optimization Approach for Components Built by Fused Deposition Modeling with Parametric Internal Structures

Villalpando, L.; Eiliat, Hasti; Urbanic, Jill

doi:10.1016/j.procir.2014.02.050

Cited by 59 publications

(40 citation statements)

References 21 publications

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“…There have been numerous studies into the tensile and compressive strength of FFF parts (Afrose et al, 2014, Ahn et al, 2002, Gardan and Schneider, Hambali et al, 2012, Montero et al, 2001, Rodriguez et al, 2000, Rodrıǵuez et al, 2003, Sood et al, 2010, Tymrak et al, 2014, Villalpando et al, 2014, Ziemian et al, 2012, Bellehumeur et al, 2004, Sun et al, 2008. These studies found a wide range of factors impact on the strength of the parts including: material, extrusion temperature, layer heights, infill strategy, infill density, infill angle, number of shells, road width, air gap, strain rate, sample geometry and sample size.…”

Section: Failure Of Fff Partsmentioning

confidence: 99%

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Tensile and fatigue failure of 3D printed parts with continuous fibre reinforcement

2017

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This paper introduces a design methodology used to integrate continuous fibre reinforcement into AM polymer parts with the aim of improving their mechanical properties. Tensile and low cycle fatigue testing of reinforced parts is carried out for a range of load conditions and strain rates Physical testing showed that it was possible to improve the strength of parts by 400% and cycles to failure by 42,800% with the addition of 4% carbon by weight. Logarithmic load/cycle relationships were found also samples showed significant variability in the number of cycles to failure. No correlation between the density of the polylactic acid (PLA) infill and the tensile strength or low cycle fatigue life.Access holes used to thread the fibre into the reinforcement channels were identified as stress concentrators initiating cracks in the PLA and separation of the reinforcement from the PLA part.

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Section: Failure Of Fff Partsmentioning

confidence: 99%

“…Despite this FFF parts exhibit excellent strength-to-weight ratios in many applications by incorporating light-weight cellular structures in areas of low stress and topologically optimised geometries (Lu et al, 2014, Villalpando et al, 2014, Rodrıǵuez et al, 2003, Gardan and Schneider, Brackett et al, 2011.…”

Section: Introductionmentioning

confidence: 99%

Tensile and fatigue failure of 3D printed parts with continuous fibre reinforcement

2017

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“…By embedding a structured core to two stiff and thin outer layers, the mechanical properties of 3D‐printed porous structures can be improved. This has already been shown for acrylonitrile butadiene styrene (ABS) or poly(lactic acid) (PLA) . However, unlike PMMA, PLA and ABS do not serve as possible long‐term implant materials …”

Section: Introductionmentioning

confidence: 99%

Impact Optimization of 3D‐Printed Poly(methyl methacrylate) for Cranial Implants

Petersmann

Spoerk

Huber

et al. 2019

Macro Materials & Eng

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Material extrusion‐based additive manufacturing, also known as fused filament fabrication (FFF) or 3D printing facilitates the fabrication of cranial implants with different materials and complex internal structures. The impact behavior plays a key role in the designing process of cranial implants. Therefore, the performance of impact tests on novel implant materials is of utmost importance. This research focuses on investigating the dependency of the infill density and pattern on the impact properties of 3D‐printed poly(methyl methacrylate) (PMMA) sandwich specimens including internal rectilinear, gyroid, and 3D‐honeycomb (3D‐HC) structures. 3D‐HC structures show higher impact forces and dissipated energies as well as dynamic stiffness values compared to rectilinear and gyroid structures at the same infill density. 70% infill 3D‐HC and 100% infill rectilinear structures prove to be most promising. In addition, two different optimization techniques to further improve the impact properties of these specimens, namely a material and a topology optimization, are applied. Topology optimization shows promising results until first damage and material optimization regarding dissipated energies. However, both are not able to outperform the 3D‐HC pattern.

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“…Authors used various criteria like stair step error, build height, volume of supports, stability of object, among others, to determine the optimal part build orientation for any rapid prototyping process. A part orientation optimization model considering the building time, material usage, surface finish, interior geometry, strength characteristics and related parameters by the genetic algorithm is presented in [4,5]. The literature suggests criteria to be considered for optimal build orientation such as the build height, staircase effect, volume of support structures and part area in contact with support structures [5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

On optimizing the build orientation problem using genetic algorithm

Matos

Rocha

Pereira

2019

AIP Conference Proceedings

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Build orientation is a critical issue in Additive manufacturing (AM), where three-dimensional objects are created layerby-layer directly from a 3D CAD model, since it is associated with the object accuracy, the number of supports required and the processing time to produce the object. Finding the best build orientation in the AM will reduce, significantly, the building costs and will improve the object accuracy. This work presents the solutions obtained by the Genetic Algorithm (GA) in solving the part build orientation optimization problem, considering the staircase effect, support area characteristics and the building time of four models. Preliminary experiments show that GA gives competitive results in solving the build orientation problem when compared with other metaheuristics.

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An Optimization Approach for Components Built by Fused Deposition Modeling with Parametric Internal Structures

Cited by 59 publications

References 21 publications

Tensile and fatigue failure of 3D printed parts with continuous fibre reinforcement

Tensile and fatigue failure of 3D printed parts with continuous fibre reinforcement

Impact Optimization of 3D‐Printed Poly(methyl methacrylate) for Cranial Implants

On optimizing the build orientation problem using genetic algorithm

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