OSM-Classic: An optical imaging technique for accurately determining strain

Aldrich, Daniel R.; Ayranci, Cagri; Nobes, David S.

doi:10.1016/j.softx.2017.08.007

Cited by 8 publications

(6 citation statements)

References 3 publications

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“…Samples recovered their shape from Figure 2c to Figure 2d. For analysis, pictures were taken at 4 Hz for 5 min during activation and change in length was measured according to [43].…”

Section: Experimental Methodologymentioning

confidence: 99%

Effect of Moisture on Shape Memory Polyurethane Polymers for Extrusion-Based Additive Manufacturing

et al. 2019

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Extrusion-based additive manufacturing (EBAM) or 3D printing is used to produce customized prototyped parts. The majority of the polymers used with EBAM show moisture sensitivity. However, moisture effects become more pronounced in polymers used for critical applications, such as biomedical stents, sensors, and actuators. The effects of moisture on the manufacturing process and the long-term performance of Shape Memory Polyurethane (SMPU) have not been fully investigated in the literature. This study focuses primarily on block-copolymer SMPUs that have two different hard/soft (h/s) segment ratios. It investigates the effect of moisture on the various properties via studying: (i) the effect of moisture trapping within these polymers and the consequences when manufacturing; (ii) and the effect on end product performance of plasticization by moisture. Results indicate that higher h/s SMPU shows higher microphase separation, which leads to an increase of moisture trapping within the polymer. Understanding moisture trapping is critical for EBAM parts due to an increase in void content and a decrease in printing quality. The results also indicate a stronger plasticizing effect on polymers with lower h/s ratio but with a more forgiving printing behavior compared to the higher h/s ratio.

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“…Samples recovered their shape from Figure 2c to Figure 2d. For analysis, pictures were taken at 4 Hz for 5 min during activation and change in length was measured according to [43].…”

Section: Experimental Methodologymentioning

confidence: 99%

Effect of Moisture on Shape Memory Polyurethane Polymers for Extrusion-Based Additive Manufacturing

et al. 2019

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“…40 Displacements were verified with optical strain measurement (OSM). 41 Flexural tests. Flexural testing procedure was determined with respect to "Plastics determination of flexural properties" code (ISO178:2010).…”

Section: Mechanical Characterizationmentioning

confidence: 99%

“…Elastic moduli of all samples were determined using ISO 527-1 “Determination of tensile properties.” 40 Displacements were verified with optical strain measurement (OSM). 41…”

Section: Characterizationmentioning

confidence: 99%

Cellulose nanocrystals (CNC) reinforced shape memory polyurethane ribbons for future biomedical applications and design

Garces

Aslanzadeh

Boluk

et al. 2018

Journal of Thermoplastic Composite Materials

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Shape memory materials are an innovative type of materials that reversibly store a temporary shape and recover back to the original dimensions with the application of an external mechanism such as heat. Shape memory polymers (SMP), specifically thermoplastic SMP (e.g. shape memory polyurethane (SMPU)) have received much attention during the past decade because of the promising future applications and advantages such as ease of processability for thermoplastic SMP (e.g. by 3-D printing), cost, and biocompatibility. In the biomedical field, applications such as stents, surgical sutures, and orthodontic devices, amongst others have been proposed. The addition of fillers to the material can modify the material to improve their load bearing capabilities. Bio-based fillers such as cellulose nanocrystals (CNC) have been proposed in a variety of reinforcing applications. The present work focuses on the experimental description of the addition of nonmodified CNC to SMPU. The work studied the effect on melt-extruded ribbons, for 0, 0.5, 1, 2, and 4 wt%. An increase of yield point, toughness, flexural modulus, recovery rate, and decrease of total time showed that SMPU/CNC nanocomposites are a potential candidate to use in future biomedical applications.

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“…Data analysis software: MATLAB R2016a and Minitab ® 17.3.1 were used to analyze the experimental data. An optical strain sensing system, OSM-Classic, was used to track the tensile strain during the elastic region of the stress-strain curve [15].…”

Section: Equipmentmentioning

confidence: 99%

Material Property-Manufacturing Process Optimization for Form 2 Vat-Photo Polymerization 3D Printers

Garcia

Ayranci

Qureshi

2020

JMMP

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This study aims to assess the effect of printing parameters on the final tensile properties of 3D printed specimens printed through a popular vat-photopolymerization printer-'Form 2'. Elastic modulus, ultimate tensile strength and strain at break are analyzed as a function of process parameters in order to provide an optimized print parameter configuration. Design of Experiments (DoE) using Taguchi's techniques was used to print the test samples. Tensile tests were performed on the 3D printed specimens following the ISO-527 standard. The post-experiment analysis provide more insight on the effect of each studied factor on the elastic properties of these specimens. To complete this study, an analysis of the total manufacturing process time is presented with respect to the aforementioned elastic properties. The study shows that the parts are orthotropic and sensitive to layer height and post-curing. The orthotropic behaviour can be substantially reduced by appropriate post-curing process, resulting in high improvement of the elastic modulus and ultimate tensile strength. This paper is of special interest to researchers and users of desktop 3D printers who wish to improve the performance of their equipment, compare printing capabilities or assess the effect of different hardware on a single resin.

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OSM-Classic: An optical imaging technique for accurately determining strain

Cited by 8 publications

References 3 publications

Effect of Moisture on Shape Memory Polyurethane Polymers for Extrusion-Based Additive Manufacturing

Effect of Moisture on Shape Memory Polyurethane Polymers for Extrusion-Based Additive Manufacturing

Cellulose nanocrystals (CNC) reinforced shape memory polyurethane ribbons for future biomedical applications and design

Material Property-Manufacturing Process Optimization for Form 2 Vat-Photo Polymerization 3D Printers

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