Process Automation

May, C. A.; Dusi, Mark R.; Fritzen, J. S.; Hadad, D. K.; Maximovich, M. G.; Thrasher, K. G.; Wereta, A.

doi:10.1021/bk-1982-0227.ch001

Cited by 10 publications

(1 citation statement)

References 4 publications

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“…The contrast, the modified WLF model, in which the above conclusions were also reached in the literamodel parameters were derived from the nonisoture. 10 Chiou and Letton's modified WLF model 9 thermal process, can well predict the viscosity was successfully applied in calculating the viscosvariation during the nonisothermal process of a ity variation under nonisothermal cure condistepwise cure cycle accurately, but also gives a tions, but no data or calculation under isothermal high error in the isothermal process of the stepconditions were presented. wise cure cycle, as shown in Figure 6.…”

Section: Chemorheological Description By the Reported Modelsmentioning

confidence: 99%

Cure processing modeling and cure cycle simulation of epoxy-terminated poly(phenylene ether ketone). II. Chemorheological modeling

Wang

Xia

et al. 1997

J. Appl. Polym. Sci.

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Chemorheology and corresponding models for an epoxy-terminated poly-(phenylene ether ketone) (E-PEK) and 4,4 -diaminodiphenyl sulfone (DDS) system were investigated using a differential scanning calorimeter (DSC) and a cone-andplate rheometer. For this system, the reported four-parameter chemorheological model and modified WLF chemorheological model can only be used in an isothermal or nonisothermal process, respectively. In order to predict the resin viscosity variation during a stepwise temperature cure cycle actually used, a new model based on the combination of the four-parameter model and the modified WLF model was developed. The combined model can predict the resin viscosity variation during a stepwise temperature cure cycle more accurately than the above two models. In order to simplify the establishment of this model, a new five-parameter chemorheological model was then developed. The parameters in this five-parameter model can be determined through very few rheology and DSC experiments. This model is practicable to describe the resin viscosity variation for isothermal, nonisothermal, or stepwise temperature cure cycles accurately. The five-parameter chemorheological model has also successfully been used in the E-PEK systems with two other curing agents, i.e., the diamine curing agent with the addition of a boron trifluride monoethylamine (BF 3 -MEA) accelerator and an anhydride curing agent (hexahydrophthalic acid anhydride).

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Section: Chemorheological Description By the Reported Modelsmentioning

confidence: 99%

Cure processing modeling and cure cycle simulation of epoxy-terminated poly(phenylene ether ketone). II. Chemorheological modeling

Wang

Xia

et al. 1997

J. Appl. Polym. Sci.

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Rheology of Polymer–Carbon Nanotube Composites

Abraham

Nair

Maria

et al. 2018

Kirk-Othmer Encyclopedia of Chemical Technology

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The rheological behavior of nanocomposite systems is of interest because of its importance in processing and as a tool for characterizing structure, morphology, and filler dispersion when used along with other techniques. This article deals with rheological characteristics of polymer nanocomposites based on carbon nanotubes (CNTs). First part of this article provides a brief idea about basics of rheology, various rheological measurements, and different types of rheometers. Second part is fully dedicated to rheological characteristics of CNT‐based polymer nanocomposites, which includes electrorheology, chemorheology, factors affecting rheological characteristics in multiwalled carbon nanotube (MWCNT)/polymer nanocomposites and finally application of rheological measurements in MWCNT/polymer nanocomposites.

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