Fatigue Performance of ABS Specimens Obtained by Fused Filament Fabrication

Domingo-Espin, Miquel; Travieso-Rodríguez, J. Antonio; Jerez-Mesa, Ramón; Llumà, Jordi

doi:10.20944/preprints201811.0225.v1

Cited by 15 publications

(7 citation statements)

References 55 publications

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“…The 3D printing process was carried out using the XYZ da Vinci 1.0 printer (XYZprinting Inc., Lake Forest, CA, USA). The 3D printer operated using FFF technology[ 29 ], in which a polymer strand (1.75 mm) was heated to semi-solid state and extruded through a small nozzle tip (0.4 mm) on a build platform (20 cm × 20 cm)[ 33 ], to form a layer that represented a cross-section of the object. Subsequent layers formed on top of each other in the direction of the z-axis[ 34 ].…”

Section: Methodsmentioning

confidence: 99%

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Development of a 3D-printed Medication Label for the Blind and Visually Impaired

Wong¹,

Xu²,

Kang³

et al. 2020

IJB

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This study explored the potential of three-dimensional printing (3DP) technology in producing a three-dimensional (3D) medication label for blind and visually impaired (BVI) patients to ease their drug administration. Different variations of label wordings, dosing instructions, and medication identifiers were designed with reference to guidelines by the American Foundation for the Blind. Shapes and symbols were used as dosing instructions and medication identifiers to the patient’s medical conditions. Prototype designs were created with common graphics computer-assisted drafting software and 3D-printed using acrylonitrile butadiene styrene as the polymer filament. Feedback was then obtained from five people with normal vision and four BVI persons. The initial prototype comprised four components, namely, medication name and strength, patient’s name, dosing instruction, and medication identifier. A revised label comprising the latter two components was developed after feedback by BVI persons. Words were in all uppercase and regular font type, with a 5-mm center-to-center letter spacing. Elevation heights of the letters alternated between 1 mm and 1.5 mm. A half sphere represented the medication dose unit, while vertical lines and a horizontal center line with alternating elevation of arrowheads represented the frequency of administration and the medication’s consumption in relation to food, respectively. Symbols based on target organs were used as medication identifiers. With rapid advancements in 3DP technologies, there is tremendous potential for producing 3D labels in patients’ medication management.

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Section: Methodsmentioning

confidence: 99%

“…Domingo-Espin et al . identified several parameters in the FDM printing process that affected the lifespan of ABS materials[ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Development of a 3D-printed Medication Label for the Blind and Visually Impaired

Wong¹,

Xu²,

Kang³

et al. 2020

IJB

View full text Add to dashboard Cite

show abstract

“…Depending on these techniques, pores can be confused with small defects and appear, causing variations in the thermomechanical behavior in the different points and working directions. This problem was studied in laminated object manufacturing (LOM) [ 27 ] and fused filament fabrication (FFF) [ 28 ]. However, addressing this issue would imply a study of material properties after deposition at the mesostructural level and the preparation of a FEM model capable of simulating it.…”

Section: Methodsmentioning

confidence: 99%

Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods

Rodríguez‐Martín

Fueyo

Aguilera

et al. 2020

Sensors

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The present article addresses a generation of predictive models that assesses the thickness and length of internal defects in additive manufacturing materials. These modes use data from the application of active transient thermography numerical simulation. In this manner, the raised procedure is an ad-hoc hybrid method that integrates finite element simulation and machine learning models using different predictive feature sets and characteristics (i.e., regression, Gaussian regression, support vector machines, multilayer perceptron, and random forest). The performance results for each model were statistically analyzed, evaluated, and compared in terms of predictive performance, processing time, and outlier sensibility to facilitate the choice of a predictive method to obtain the thickness and length of an internal defect from thermographic monitoring. The best model to predictdefect thickness with six thermal features was interaction linear regression. To make predictive models for defect length and thickness, the best model was Gaussian process regression. However, models such as support vector machines also had significative advantages in terms of processing time and adequate performance for certain feature sets. In this way, the results showed that the predictive capability of some types of algorithms could allow for the detection and measurement of internal defects in materials produced by additive manufacturing using active thermography as a non-destructive test.

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“…To confirm which material is suitable in each case, many authors have worked to characterize the mechanical behavior of each one (Liu et al, 2019). Through different mechanical assessments, such as bending tests (Belouettar et al, 2009), fatigue tests Domingo-Espin et al, 2018;Travieso-Rodriguez et al, 2020) and tensile tests (Andrzejewska et al, 2019;Peker et al, 2020;Aydin and Kucuk, 2018), an estimation of those properties can be made.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of the flexural properties of ABS, PLA and a PLA–wood composite manufactured through fused filament fabrication

Travieso-Rodríguez

Jerez-Mesa

Llumà

et al. 2020

RPJ

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Purpose The aim of this paper is to analyze the mechanical properties of acrylonitrile-butadiene-styrene (ABS) parts manufactured through fused filament fabrication and compare these results to analogous ones obtained on polylactic acid (PLA) and PLA–wood specimens to contribute for a wider understanding of the different materials used for additive manufacturing. Design/methodology/approach With that aim, an experimental based on an L27 Taguchi array was used to combine the specific parameters taken into account in the study, namely, layer height, nozzle diameter, infill density, orientation and printing velocity. All samples were subjected to a four-point bending test performed according to the ASTM D6272 standard. Findings Young’s modulus, elastic limit, maximum stress and maximum deformation of every sample were computed and subjected to an analysis of variance. Results prove that layer height and nozzle diameter are the most significant factors that affect the mechanical resistance in pieces generated through additive manufacturing and subjected to bending loads, regardless of the material. Practical implications The best results were obtained by combining a layer height of 0.1 mm and a nozzle diameter of 0.6 mm. The comparison of materials evidenced that PLA and its composite version reinforced with wood particles present more rigidity than ABS, whereas the latter can experience further deflection before break. Originality/value This study is of interest for manufacturers that want to decide which is the best material to be applied for their application, as it derives in a practical technical recommendation of the best parameters that should be selected to treat the material during the fused filament fabrication process.

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Fatigue Performance of ABS Specimens Obtained by Fused Filament Fabrication

Cited by 15 publications

References 55 publications

Development of a 3D-printed Medication Label for the Blind and Visually Impaired

Development of a 3D-printed Medication Label for the Blind and Visually Impaired

Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods

Comparative study of the flexural properties of ABS, PLA and a PLA–wood composite manufactured through fused filament fabrication

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