Dynamic mechanical analysis and chemometrics for polymer identification

Faria, Rita; Duncan, John C.; Brereton, Richard G.

doi:10.1016/j.polymertesting.2006.12.012

Cited by 33 publications

(21 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dynamic mechanical analysis (DMA), one of the important methods for investigating the mechanical properties of polymer blends within a wide range of temperature, can be applied to study thermodynamic miscibility of polymer blends and interfacial adhesion in polymer blends 28, 29. Figure 8 is dynamic storage modulus of POE, POE/PS (80/20) blends in the absence and presence of 200W ultrasound as a function of temperature.…”

Section: Resultsmentioning

confidence: 99%

Improved processing behaviors and mechanical properties of polyolefin elastomer blends prepared by ultrasound‐assisted extrusion

Jiang

Xie

et al. 2009

J of Applied Polymer Sci

View full text Add to dashboard Cite

To improve the processability of ethylene-aolefin copolymers (POE), POE and POE/polystyrene (PS) blends were extruded in the presence of ultrasound. On the one hand, the effect of ultrasound on the die pressure drop, extrudate productivity, melt viscosity of POE, and the processing behaviors of POE and POE/PS (80/20) blend were studied. The results showed that with increasing ultrasound power, the die pressure and melt-apparent viscosity of POE decreased whereas the productivity of POE extrudates increased, then the processability of POE was greatly improved. On the other hand, the effects of ultrasound on the morphology, rheological, and mechanical properties of POE/PS (80/20) blend were studied. Capillary rheological results showed that the merger of ultrasound and the addition of PS showed a synergistic improvement of processability of POE. From morphological observation and rheological analysis, the compatibility of the blend was also improved in the presence of 200W ultrasound. As a result, the stress at break of compatibilized POE/PS (80/20) blend increased from 9.2 to 11.0 MPa, and the dynamic storage modulus increased at experimental temperature range, indicating that the mechanical properties of POE/PS blends can be improved by ultrasound-assisted extrusion.

show abstract

Section: Resultsmentioning

confidence: 99%

Improved processing behaviors and mechanical properties of polyolefin elastomer blends prepared by ultrasound‐assisted extrusion

Jiang

Xie

et al. 2009

J of Applied Polymer Sci

View full text Add to dashboard Cite

show abstract

“…35 Samples (a), (c), and (e) in Figure 9 indicate that the tan δ of pure PI changed with the diamine structure. Samples (b), (d), (f) show the tan δ of NEcrosslinked PI.…”

Section: Resultsmentioning

confidence: 99%

Norbornene end-capped polyimide for low CTE and low residual stress with changes in the diamine linkages

et al. 2015

View full text Add to dashboard Cite

The effects of norbornene (NE) crosslinking and diamine bridge linkages (ether, sulfone, and trifluoromethyl) on polyimide films were investigated. The purpose of this study was to study the behavior of the NE endcapped polyimide with different diamine bridge linkage structure at elevated temperatures on residual stress and modulus change. 5-Norbornene-2,3-dicarboxylic acid was introduced as the end-capping agent in order to increase the ratio of crosslinking in the structure through reverse Diels-Alder reaction. Wide angle X-ray diffraction (WAXD) was measured to study the relation of d-spacing and structure change of the bridge linkage of polymers through NE crosslinking. Coefficient of thermal expansion (CTE) and residual stress were measured to confirm the loaded stress between the substrate and polymer film through a thin film stress analyzer (TFSA). Storage (ε') and loss modulus (ε'') were studied at elevated temperatures to study the relation of bridge linkage mobility of the polyimide at elevated temperature.

show abstract

“…PCA is an unsupervised non-parametric multivariate statistical technique (Ringner 2008, Faria et al 2007) that is applied to reduce the dimensionality of the data set by transforming to a new set of variables (Jolliffe 1980 A c c e p t e d M a n u s c r i p t 5…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals

Choubin

Khalighi-Sigaroodi

Malekian

et al. 2016

Hydrological Sciences Journal

147

View full text Add to dashboard Cite

Nowadays mathematical models are widely used to predict climate processes, but less has been done to compare the models. In this study, multiple linear regression (MLR), multi-layer perceptron (MLP) network and adaptive neuro-fuzzy inference system (ANFIS) models were compared in precipitation prediction. The large-scale climate signals were considered as inputs to the applied models. After selecting the most effective climate indices, the effects of large-scale climate signals in seasonal Standardized Precipitation Index (SPI) of Maharlu-Bakhtaran catchment, simultaneously and with the delay, was analysed by cross-correlation function.Consequently, SPI time series was forecasted up to four time intervals by using MLR, MLP and ANFIS. The results showed that the most of the indices were significant with SPI of different lag times. Comparison of the SPI forecast results by MLR, MLP and ANFIS models showed better performance of the MLP network than the other two models (RMSE=0.86, MAE=0.74 for the 1st step ahead of SPI forecasting).

show abstract

Dynamic mechanical analysis and chemometrics for polymer identification

Cited by 33 publications

References 12 publications

Improved processing behaviors and mechanical properties of polyolefin elastomer blends prepared by ultrasound‐assisted extrusion

Improved processing behaviors and mechanical properties of polyolefin elastomer blends prepared by ultrasound‐assisted extrusion

Norbornene end-capped polyimide for low CTE and low residual stress with changes in the diamine linkages

Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals

Contact Info

Product

Resources

About