Time–Temperature Superposition Principle and its Application to Biopolymer and Food Rheology

Ahmed, Jasim

doi:10.1016/b978-0-08-100431-9.00009-7

Cited by 14 publications

(10 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The G * ‐ω rheograms showed a similar pattern with increasing temperature, and the slopes were varied between 0.90 and 0.97. All rheograms were shifted into G ∗ and δ master curves by employing time‐temperature‐superposition principle at 170 °C—use as reference temperature (Figure C) following the method described by Ahmed (). As it can be seen that the reduced frequency, a T ω extended to a lower range, and G * ‐ω rheograms were superimposed adequately with longer relaxation time.…”

Section: Resultsmentioning

confidence: 99%

Active Chicken Meat Packaging Based on Polylactide Films and Bimetallic Ag–Cu Nanoparticles and Essential Oil

Ahmed

Arfat

Bher

et al. 2018

Journal of Food Science

130

View full text Add to dashboard Cite

The nanoparticles and essential oil loaded PLA composite films are capable of exhibiting antimicrobial effects against Gram (+) and (-) bacteria, and extend the shelf-life of chicken meat. The bionanocomposite films showed the potential to be manufactured commercially because of the thermal stability of the active components during the hot-press compression molding process. The developed bionanocomposites could have practical importance and open a new direction for the active food packaging to control the spoilage and the pathogenic bacteria associated with the fresh chicken meat.

show abstract

Section: Resultsmentioning

confidence: 99%

Active Chicken Meat Packaging Based on Polylactide Films and Bimetallic Ag–Cu Nanoparticles and Essential Oil

Ahmed

Arfat

Bher

et al. 2018

Journal of Food Science

130

View full text Add to dashboard Cite

show abstract

“…Such a curve is called a complex curve and, unlike the Arrhenius method, it uses all experimental points for all ageing temperature values. From the complex curve it is possible to determine the time needed to obtain a threshold value at T 0 [ 103 ].…”

Section: Methods For Predicting the Lifetime Of Polymeric Materialmentioning

confidence: 99%

Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review

2020

View full text Add to dashboard Cite

The determination of the secure working life of polymeric materials is essential for their successful application in the packaging, medicine, engineering and consumer goods industries. An understanding of the chemical and physical changes in the structure of different polymers when exposed to long-term external factors (e.g., heat, ozone, oxygen, UV radiation, light radiation, chemical substances, water vapour) has provided a model for examining their ultimate lifetime by not only stabilization of the polymer, but also accelerating the degradation reactions. This paper presents an overview of the latest accounts on the impact of the most common environmental factors on the degradation processes of polymeric materials, and some examples of shelf life of rubber products are given. Additionally, the methods of lifetime prediction of degradable polymers using accelerated ageing tests and methods for extrapolation of data from induced thermal degradation are described: the Arrhenius model, time–temperature superposition (TTSP), the Williams–Landel–Ferry (WLF) model and 5 isoconversional approaches: Friedman’s, Ozawa–Flynn–Wall (OFW), the OFW method corrected by N. Sbirrazzuoli et al., the Kissinger–Akahira–Sunose (KAS) algorithm, and the advanced isoconversional method by S. Vyazovkin. Examples of applications in recent years are given.

show abstract

“…Multiple studies have reported the success of TTS in extending the timescale of rheological measurements for a variety of complex fluids, including linear and branched polymers, − cross-linked networks, − elastomers, , coordination polymers, , biopolymers, and asphalts. , In the case of blends and some copolymers, the polymer sample can show multiple glass transition temperatures, which can be described by Lodge and McLeish model . It is important to note that these studies show the applicability of TTS over the frequency range accessible in commercially available rheometers (3 to 4 orders of magnitude).…”

Section: Introductionmentioning

confidence: 92%

“…9,10,13 Note that the WLF equation is built on the assumption that at temperatures above T g , the free volume of the material increases linearly with the temperature. 9,10 Multiple studies have reported the success of TTS in extending the timescale of rheological measurements for a variety of complex fluids, including linear and branched polymers, 14−18 cross-linked networks, 19−21 elastomers, 22,23 coordination polymers, 24,25 biopolymers, 26 and asphalts. 27,28 In the case of blends and some copolymers, the polymer sample can show multiple glass transition temperatures, which can be described by Lodge and McLeish model.…”

Section: Introductionmentioning

confidence: 99%

Rheology of Styrene–Butadiene Rubber: Bridging the Gap between Timescales of Atomistically-Detailed Molecular Simulations and Experiments

Perego

Mani

Khabaz

2022

ACS Appl. Polym. Mater.

View full text Add to dashboard Cite

We present an atomistically-detailed molecular dynamics (MD) simulation study of the rheology and dynamics of a single styrene−butadiene rubber (SBR) chain. The density and coefficient of thermal expansion of the simulated system are consistent with the experimental observations. Nonequilibrium molecular dynamics (NEMD) is used to characterize the storage and loss moduli of SBR. Both rheological and dynamic (mean squared displacement) properties of SBR successfully collapse onto universal curves using a set of shift factors with the help of the time−temperature superposition (TTS) principle. The mismatch in the timescale of MD simulations and experiments is resolved by rescaling the shift factors to accommodate the influence of the fast cooling rate present in MD simulations. Both storage and loss moduli show an excellent agreement between simulations and experimental results. As rheology simulations are performed under nonequilibrium conditions, they are often computationally expensive; thus being able to determine the shift factors from simulations under equilibrium conditions has the potential to significantly reduce the computational cost of these simulations. Furthermore, the ability to bridge the timescale difference between experiments and simulations allows MD simulations to predict the rheology of polymers such as SBR at a wide range of frequencies.

show abstract

Time–Temperature Superposition Principle and its Application to Biopolymer and Food Rheology

Cited by 14 publications

References 46 publications

Active Chicken Meat Packaging Based on Polylactide Films and Bimetallic Ag–Cu Nanoparticles and Essential Oil

Active Chicken Meat Packaging Based on Polylactide Films and Bimetallic Ag–Cu Nanoparticles and Essential Oil

Lifetime Prediction Methods for Degradable Polymeric Materials—A Short Review

Rheology of Styrene–Butadiene Rubber: Bridging the Gap between Timescales of Atomistically-Detailed Molecular Simulations and Experiments

Contact Info

Product

Resources

About