Characterisation of Cryogenic Material Properties of 3D-Printed Superconducting Niobium using a 3D Lumped Element Microwave Cavity

2020 ◽  
pp. 1-1
Author(s):  
Ben T. McAllister ◽  
Jeremy Bourhill ◽  
Wing Him J. Ma ◽  
Tim Sercombe ◽  
Maxim Goryachev ◽  
...  
Keyword(s):  
Material Properties ◽  
Microwave Cavity ◽  
Lumped Element ◽  
3D Printed

scholarly journals 3D Printed Chromophoric Sensors

Chemosensors ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 317
Author(s):  
Zachary Brounstein ◽  
Jarrod Ronquillo ◽  
Andrea Labouriau
Keyword(s):  
Thermal Stability ◽  
3D Printing ◽  
Material Properties ◽  
Chemical Structure ◽  
Elevated Temperatures ◽  
Advanced Manufacturing ◽  
Color Changes ◽  
Printed Sensors ◽  
3D Printed ◽  
Manufacturing Techniques

Eight chromophoric indicators are incorporated into Sylgard 184 to develop sensors that are fabricated either by traditional methods such as casting or by more advanced manufacturing techniques such as 3D printing. The sensors exhibit specific color changes when exposed to acidic species, basic species, or elevated temperatures. Additionally, material properties are investigated to assess the chemical structure, Shore A Hardness, and thermal stability. Comparisons between the casted and 3D printed sensors show that the sensing devices fabricated with the advanced manufacturing technique are more efficient because the color changes are more easily detected.

scholarly journals Microstructural Control of Polymers Achieved Using Controlled Phase Separation During 3D Printing with Oligomer Libraries: Dictating Drug Release for Personalized Subdermal Implants

2020 ◽  
Author(s):  
Laura Ruiz-Cantu ◽  
Gustavo Trindade ◽  
Vincenzo Taresco ◽  
Zuoxin Zhou ◽  
Laurence Burroughs ◽  
...  
Keyword(s):  
Phase Separation ◽  
3D Printing ◽  
Drug Release ◽  
Material Properties ◽  
High Throughput Screening ◽  
Ink Jet ◽  
Versatile Tool ◽  
3D Printed ◽  
Subdermal Implants ◽  
Level Of Understanding

<p>Controlling the microstructure of materials by means of phase separation is a versatile tool for optimizing material properties. In this study, we show that ink jet 3D printing of polymer blends gives rise to controllable phase separation that can be used to tailor the release of drugs. We predicted phase separation using high throughput screening combined with a model based on the Flory-Huggins interaction parameter, and were able to show that drug release from 3D printed structures can be predicted from observations based on single drops of mixtures. This new understanding gives us hierarchical compositional control, from droplet to device, allowing release to be ‘dialed up’ without any manipulation of geometry. This is an important advance for implants that need to be delivered by cannula, where the shape is highly constrained and thus the usual geometrical freedoms associated with 3D printing cannot be exploited, bringing a hitherto unseen level of understanding to emergent material properties of 3D printing.</p>

Modeling and Experimental Characterization of Viscoelastic 3D Printed Spring/Damper Systems

2017 ◽  
Author(s):  
Heather L. Lai ◽  
Cuiyu Kuang ◽  
Jared Nelson
Keyword(s):  
Dynamic Behavior ◽  
Material Properties ◽  
Dynamic Properties ◽  
Viscoelastic Materials ◽  
Vibration Isolators ◽  
Damping Behavior ◽  
Wide Range ◽  
3D Printed ◽  
Printed Materials

The development of flexible, viscoelastic materials for consumer 3D printers has provided the opportunity for a wide range of devices with damping behavior such as tuned vibration isolators to be innovatively developed and inexpensively manufactured. However, there is currently little information available about the dynamic behavior of these 3D printed materials necessary for modeling of dynamic behavior prior to print. In order to fully utilize these promising materials, a deeper understanding of the material properties, and the subsequent dynamic behavior is critical. This study evaluates the use of three different types of models: transient response, frequency response and hysteretic response to predict the dynamic behavior of viscoelastic 3D printed materials based on static and dynamic material properties. Models of viscoelastic materials are presented and verified experimentally using two 3D printable materials and two traditional viscoelastic materials. The experimental response of each of the materials shows agreement with the modeled behavior, and underscores the need for improved characterization of the dynamic properties of viscoelastic 3D printable materials.

scholarly journals Tensile impact behaviour of 3D printed parts on FFF/FDM printer Zortrax M200

2018 ◽  
Vol 210 ◽  
pp. 04049 ◽  
Author(s):  
Ales Mizera ◽  
Martin Bednarik ◽  
Martin Mizera ◽  
Katarina Tomanova ◽  
Martin Mohorko
Keyword(s):  
Layer Thickness ◽  
Material Properties ◽  
Impact Test ◽  
Polymeric Materials ◽  
Material Testing ◽  
3D Printer ◽  
Fracture Surface Morphology ◽  
Tensile Impact ◽  
3D Printed ◽  
Manufacturing Technologies

To obtain the deeper knowledge about the mechanical behaviour of 3D printed polymeric materials it is necessary to study the material properties from the beginning to the end. The commonly processed polymeric materials (via injection moulding etc.) are already deeply studied and evaluated, but 3D printed specimens in the various orientation build are not yet. In this study the tensile impact test specimens were fabricated via a desktop material extrusion 3D printer Zortrax M200 processing ABS and HIPS in build orientation XY. The 3D printed tensile impact test specimens were examined to compare the effect of layer thickness. Impact pendulum Zwick HIT50P was used for tensile impact tests according to ISO 8256 standard. Optical microscopy was utilized to perform fractography on impact test specimens to explore the effect of the layer thickness on the fracture surface morphology of the failed specimens. This study demonstrates the need for material testing for specific processing as additive manufacturing technologies.

Mechanical and material properties of castings produced via 3D printed molds

2019 ◽  
Vol 27 ◽  
pp. 199-207 ◽  
Author(s):  
Dean A. Snelling ◽  
Christopher B. Williams ◽  
Alan P. Druschitz
Keyword(s):  
Material Properties ◽  
3D Printed

scholarly journals Reprintable Paste-Based Materials for Additive Manufacturing in a Circular Economy

2020 ◽  
Vol 12 (19) ◽  
pp. 8032
Author(s):  
Marita Sauerwein ◽  
Jure Zlopasa ◽  
Zjenja Doubrovski ◽  
Conny Bakker ◽  
Ruud Balkenende
Keyword(s):  
Additive Manufacturing ◽  
Material Properties ◽  
Circular Economy ◽  
Product Life Cycle ◽  
Resistant Material ◽  
Material Development ◽  
Material Recovery ◽  
3D Printed ◽  
Multiple Product ◽  
Mussel Shells

The circular economy requires high-value material recovery to enable multiple product lifecycles. This implies the need for additive manufacturing to focus on the development and use of low-impact materials that, after product use, can be reconstituted to their original properties in terms of printability and functionality. We therefore investigated reprintable materials, made from bio-based resources. In order to equally consider material properties and recovery during development, we took a design approach to material development. In this way, the full material and product life cycle was studied, including multiple recovery steps. We applied this method to the development of a reprintable bio-based composite material for extrusion paste printing. This material is derived from natural and abundant resources, i.e., ground mussel shells and alginate. The alginate in the printing paste is ionically cross-linked after printing to create a water-resistant material. This reaction can be reversed to retain a printable paste. We studied paste composition, printability and material properties and 3D printed a design prototype. Alginate as a binder shows good printing and reprinting behaviour, as well as promising material properties. It thus demonstrates the concept of reprintable materials.

scholarly journals A 3D printed superconducting aluminium microwave cavity

2016 ◽  
Vol 109 (3) ◽  
pp. 032601 ◽  
Author(s):  
Daniel L. Creedon ◽  
Maxim Goryachev ◽  
Nikita Kostylev ◽  
Timothy B. Sercombe ◽  
Michael E. Tobar
Keyword(s):  
Microwave Cavity ◽  
3D Printed

A Case Study in 3D Printed Porous Ceramics: Infant Incubator Humidification System

2012 ◽  
Author(s):  
Olaf Diegel ◽  
Andrew Withell ◽  
Deon Debeer ◽  
Mark Wu
Keyword(s):  
Material Properties ◽  
Low Cost ◽  
Ceramic Materials ◽  
Porous Ceramics ◽  
Burn Out ◽  
Infant Incubator ◽  
3D Printers ◽  
3D Printed ◽  
Factorial Design Experiment

This paper describes research in adapting 3D printers to operate with low-cost ceramic materials. The components produced with these clay-based ceramic powders can be fired to produce strong, complex and lightweight ceramic parts. The final material properties, including the porosity of the parts, can be controlled through the part design and, potentially, through additives to the material that burn out during firing. The paper begins with a brief description of the 3D printing process and how it can be used with clay powders. It then introduces a factorial design experiment initiated to explore the effect of ingredient and parameter variations on the dimensional stability and material properties of green and fired ceramic parts. It then presents a case study in which 3D printed ceramic parts are used in the humidification system for an infant incubator for developing countries.

scholarly journals Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model

2019 ◽  
Vol 9 (13) ◽  
pp. 2735 ◽  
Author(s):  
Paul J. Hadwin ◽  
Mohsen Motie-Shirazi ◽  
Byron D. Erath ◽  
Sean D. Peterson
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Bayesian Estimation ◽  
Material Properties ◽  
Vocal Fold ◽  
Vocal Folds ◽  
Element Model ◽  
Lumped Element ◽  
Subglottal Pressure ◽  
Contact Pressures

Bayesian estimation has been previously demonstrated as a viable method for developing subject-specific vocal fold models from observations of the glottal area waveform. These prior efforts, however, have been restricted to lumped-element fitting models and synthetic observation data. The indirect relationship between the lumped-element parameters and physical tissue properties renders extracting the latter from the former difficult. Herein we propose a finite element fitting model, which treats the vocal folds as a viscoelastic deformable body comprised of three layers. Using the glottal area waveforms generated by self-oscillating silicone vocal folds we directly estimate the elastic moduli, density, and other material properties of the silicone folds using a Bayesian importance sampling approach. Estimated material properties agree with the “ground truth” experimental values to within 3 % for most parameters. By considering cases with varying subglottal pressure and medial compression we demonstrate that the finite element model coupled with Bayesian estimation is sufficiently sensitive to distinguish between experimental configurations. Additional information not available experimentally, namely, contact pressures, are extracted from the developed finite element models. The contact pressures are found to increase with medial compression and subglottal pressure, in agreement with expectation.

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