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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Kandelbauer, Andreas
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024Process optimization of the morphological properties of epoxy resin molding compounds using response surface designcitations
- 2024In situ monitoring of the curing of highly filled epoxy molding compounds: the influence of reaction type and silica content on cure kinetic modelscitations
- 2024Optimizing epoxy molding compound processing: a multi-sensor approach to enhance material characterization and process reliability
- 2023Bonding of activated ethylene-propylene rubber to surface-modified stainless steelcitations
- 2023Determination of the gel point of formaldehyde-based wood adhesives by using a multiwave techniquecitations
- 2022Unsaturated polyesters and vinyl esterscitations
- 2021Cure kinetics modeling of a high glass transition temperature epoxy molding compound (EMC) based on inline dielectric analysiscitations
- 2021Oxygen plasma surface treatment of polymer films—Pellethane 55DE and EPR-g-VTMScitations
- 2020Effect of phenolation, lignin-type and degree of substitution on the properties of lignin-modified phenol-formaldehyde impregnation resins: molecular weight distribution, wetting behavior, rheological properties and thermal curing profilescitations
- 2020Green composite material made from Typha latifolia fibres bonded with an epoxidized linseed oil/tall oil-based polyamide binder systemcitations
- 2019Protective role of vitamin E to reduce oxidative degradation of soft implantable polyurethanes: in vitro study : from mechanical viewpoint
- 2018Furan-functionalised melamine-formaldehyde particles performing Diels-Alder reactionscitations
- 2017Powder coating lightweight boards
- 2014Influence of thermo-analytical and rheological properties of an epoxypowder coating resin on the quality of coatings on medium densityfibreboards (MDF) using in-mould technologycitations
- 2014Unsaturated polyesters and vinyl esters
- 2014Powder coating of veneered particle board surfaces by hot pressingcitations
- 2014Individualization of melamine-formaldehyde–based laminates in batch size one
- 2014High-gloss surfaces by powder coating and hot pressing of veneered particle board
- 2014Developments and trends in powder coating of heat-sensitive substrates
- 2014Synthesis of ethylene terephthalate and ethylene naphthalatecitations
- 2014Predicting thermal and thermo-oxidative stability of silane-modified clay minerals using thermogravimetry and isoconversional kinetic analysiscitations
Places of action
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article
In situ monitoring of the curing of highly filled epoxy molding compounds: the influence of reaction type and silica content on cure kinetic models
Abstract
Monitoring of molding processes is one of the most challenging future tasks in polymer processing. In this work, the in situ monitoring of the curing behavior of highly filled EMCs (silica filler content ranging from 73 to 83 wt%) and the effect of filler load on curing kinetics are investigated. Kinetic modelling using the Friedman approach was applied using real-time process data obtained from in situ DEA measurements, and these online kinetic models were compared with curing analysis data obtained from offline DSC measurements. For an autocatalytic fast-reacting material to be processed above the glass transition temperature Tg and for an autocatalytic slow-reacting material to be processed below Tg, time–temperature–transformation (TTT) diagrams were generated to investigate the reaction behavior regarding Tg progression. Incorporating a material containing a lower silica filler content of 10 wt% enabled analysis of the effects of filler content on sensor sensitivity and curing kinetics. Lower silica particle content (and a larger fraction of organic resin, respectively) favored reaction kinetics, resulting in a faster reaction towards Tg1. Kinetic analysis using DEA and DSC facilitated the development of highly accurate prediction models using the Friedman model-free approach. Lower silica particle content resulted in enhanced sensitivity of the analytical method, leading, in turn, to more precise prediction models for the degree of cure.