Improving tensile strength of an injection-molded biocompatible thermoplastic elastomer

Fittipaldi, Mauro; Rodríguez, L. A.; Damley-Strnad, Alexandra; Grace, Landon

doi:10.1016/j.matdes.2015.07.070

Cited by 10 publications

(4 citation statements)

References 30 publications

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“…It was found that the mixing temperature was the most significant factor to control the properties of TPE, while rotor speed and mixing time were in comparison secondary. In addition, the processing conditions correlated well with the dynamic mechanical and rheological properties of SIBS, S‐EB‐S/S‐SBR, TPU/MPU, and PP/EPDM blends …”

Section: Introductionmentioning

confidence: 67%

“…n x = 7, so the Taguchi L9 OA shown in Table was used. Furthermore, the signal‐to‐noise ratio ( S / N ) for the nine batch preparations according to Table was calculated as follows:

S / N = - 10 \log_{10} true[\frac{1}{n_{i}} \sum_{i = 1}^{n} \frac{1}{y_{i}^{2}} true]

where n is the number of tested samples ( n i = 3) and y i is the output value of each test.…”

Section: Methodsmentioning

confidence: 99%

“…The mixing procedure and the preparation conditions of TPNR (or TPE) are the principal keys to proper morphological and mechanical properties, so these have been investigated in prior studies . Several studies on the effects of mixing conditions and process optimization have relied on statistical analysis . It has been claimed that the Taguchi design and analysis of variance (ANOVA) are the most effective statistical methods for optimizing the preparation procedures as compared to the factorial design and response surface methodology, DOE.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing mechanical and morphological properties of biodegradable thermoplastic elastomer based on epoxidized natural rubber and poly(butylene succinate) blends

Faibunchan

Nakaramontri

Pichaiyut

et al. 2018

J of Applied Polymer Sci

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Biodegradable thermoplastic elastomer (BTPE) blends of epoxidized natural rubber (ENR) and poly(butylene succinate) (PBS) were prepared by the melt mixing process. Influences of the processing parameters mixing temperature, rotor speed, and mixing time on mechanical and morphological properties of BTPE were investigated. Taguchi method was applied to improve the mechanical and morphological properties by optimizing the processing parameters. That is, the experimental design adopted the L9 Taguchi orthogonal array with three manipulated factors (i.e., mixing temperature, rotor speed, and mixing time). Analysis of mean and analysis of variance were also exploited and the mixing temperature was found to be the most significant processing parameter regarding mechanical properties. The mixing temperature showed large contributions to Young's modulus, 100% modulus, tensile strength, and elongation at break, namely 45. 33, 40.38, 49.31, and 36.04%, respectively. Furthermore, the optimum conditions found for mixing temperature, rotor speed, and mixing time were 140 8C, 100 rpm and 10 min, respectively. The result was confirmed by atomic force microscopy and scanning electron microscopy micrographs showing fine-grained co-continuous phase morphology of the ENR/PBS blends.

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Section: Introductionmentioning

confidence: 67%

“…n x = 7, so the Taguchi L9 OA shown in Table was used. Furthermore, the signal‐to‐noise ratio ( S / N ) for the nine batch preparations according to Table was calculated as follows:

S / N = - 10 \log_{10} true[\frac{1}{n_{i}} \sum_{i = 1}^{n} \frac{1}{y_{i}^{2}} true]

where n is the number of tested samples ( n i = 3) and y i is the output value of each test.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing mechanical and morphological properties of biodegradable thermoplastic elastomer based on epoxidized natural rubber and poly(butylene succinate) blends

Faibunchan

Nakaramontri

Pichaiyut

et al. 2018

J of Applied Polymer Sci

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“…[ 26,27 ] Due to the absence of physical and chemical restraining forces, water in the free state rotates unimpeded in the presence of a changing electromagnetic field. [ 28 ] This leads to free water having a high‐relative permittivity of approximately 80, [ 29 ] while bound water (primarily hydrogen bound) is restricted in its ability to rotate with a changing electromagnetic field, which results in a relative permittivity close to 3. [ 30 ] The various less‐firmly bound states resulting from other secondary bonding interactions have a relative permittivity between these two extremes.…”

Section: Introductionmentioning

confidence: 99%

An experimental study of the dynamic molecular state of transient moisture in damaged polymer composites

et al. 2021

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Polymeric composites absorb measurable amounts of moisture from their environment in almost all operating conditions. This absorbed moisture exists either in the “free” state, without any interactions, or in the “bound” state—interacting with the polymer matrix via secondary bonding mechanisms. The ratio and distribution of these water states within a moisture‐contaminated polymer composite are sensitive to physical damage. However, the water state distribution is also affected by variations in total water content resulting from humidity or precipitation‐driven fluctuations in the ambient environment, which could confound the ability to detect damage within the polymer matrix using this technique. To understand the effect of moisture content variations on water state distribution, low levels of barely visible impact damage were induced in epoxy/glass fiber composites. Spatial variations in polymer–water interactions were identified by their characteristic dielectric properties, measured using a split post dielectric resonator operating at 5 GHz. Gravimetric moisture uptake and relative permittivity were monitored during the absorption and desorption processes. Results indicate moisture absorption/desorption history has a significant effect on the sensitivity of damage detection using water state variations. Damage‐dependent hysteresis was observed in relative permittivity, highlighting an avenue by which the confounding effects of moisture absorption/desorption history may be mitigated.

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Mathematical Modeling and Optimization of Injection Molding of Plastics

Elsheikhi¹,

Benyounis²

2017

Reference Module in Materials Science and Materials Engineering

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Improving tensile strength of an injection-molded biocompatible thermoplastic elastomer

Cited by 10 publications

References 30 publications

Optimizing mechanical and morphological properties of biodegradable thermoplastic elastomer based on epoxidized natural rubber and poly(butylene succinate) blends

Optimizing mechanical and morphological properties of biodegradable thermoplastic elastomer based on epoxidized natural rubber and poly(butylene succinate) blends

An experimental study of the dynamic molecular state of transient moisture in damaged polymer composites

Mathematical Modeling and Optimization of Injection Molding of Plastics

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