| People | Locations | Statistics |
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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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Ruckdäschel, Holger
Neue Materialien Bayreuth GmbH
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (31/31 displayed)
- 2024Influence of sodium hydroxide, silane, and siloxane treatments on the moisture sensitivity and mechanical properties of flax fiber compositescitations
- 2024Strategies for the fast optimization of the glass transition temperature of sustainable epoxy resin systems via machine learningcitations
- 2024Bayesian optimization-based prediction of the thermal properties from fatigue test IR imaging of composite couponscitations
- 2024Dielectric properties of PEEK/PEI blends as substrate material in high-frequency circuit board applications
- 2024Relationship between the tensile modulus and the thermal conductivity perpendicular and in fiber direction of PAN-based carbon fiberscitations
- 2024Investigating the changing dynamics of processing, temperature-based mechanics, and flame retardancy in the transfer of ammonium polyphosphate/inorganic silicate flame retardants from epoxy resins to glass fiber compositescitations
- 2024A systematic investigation of the transfer of polyphosphate/inorganic silicate flame retardants from epoxy resins to layered glass fiber-reinforced composites and their post-furnace flexural propertiescitations
- 2024Development of a low-expansion and low-shrinkage thermoset injection moulding compound tailored to laminated electrical sheets
- 2024A systematic investigation of the transfer of polyphosphate/inorganic silicate flame retardants from epoxy resins to layered glass fiber‐reinforced composites and their post‐furnace flexural propertiescitations
- 2024Investigating the trade-off effects of inorganic phosphate/silicate flame retardant content on the fire performance and post-fire flexural mechanics of epoxy/glass fiber composites
- 2024Weaving Through Fire And Force: Fire Behavior and Modes of Action between Epoxy Resin and Glass Fiber Composites
- 2024Numerical study on the influence of cell gas on the compression behavior of expanded polypropylene
- 2023Relationship between the tensile modulus and the thermal conductivity perpendicular and in the fiber direction of PAN-based carbon fiberscitations
- 2023Effect of density on the fatigue behaviour of EPP and ETPU bead foamscitations
- 2023Adapting intumescent/low-melting glass flame-retardant formulations for transfer to glass-fiber-reinforced composites and postfiremechanical analysis
- 2023Zum Zusammenspiel von Polymer, Morphologie und Zellgas bei der Deformation von Partikelschäumen
- 2023Mechanische Charakterisierung von Partikelschäumen im Vakuum: Neue Einblicke durch innovative Prüfmethodik
- 2023Influence of glass fibers on the processability and mechanical properties of PP homopolymer for fused filament fabrication (FFF)citations
- 2023Cell structure analysis of expanded polypropylene bead foams under compression
- 2023Investigation of the Reaction Kinetics of Poly(butylene terephthalate) and Epoxide Chain Extendercitations
- 2022Glass transition of PLA-CO<sub>2</sub> mixtures after solid-state saturationcitations
- 2022A review of electrical and thermal conductivities of epoxy resin systems reinforced with carbon nanotubes and graphene-based nanoparticles
- 2022Simulationsstrategie für hierarchisch aufgebaute Partikelschäume
- 2022Influence of Sample Wetting Method on ESC-Behavior of PMMA under Dynamic Fatigue Crack Propagationcitations
- 2022Influence of Block Copolymer Concentration and Resin Crosslink Density on the Properties of UV‐Curable Methacrylate Resin Systemscitations
- 2021Low temperature fatigue crack propagation in toughened epoxy resins aimed for filament winding of type V composite pressure vesselscitations
- 2011Development of polymer foams : Trends & sustainability
- 2009Charge storage of ternary polymer blends based on poly(phenylene ether)citations
- 2008Controlling the phase morphology of immiscible poly(2,6- dimethyl-1,4-phenylene ether)/poly(styrene-co-acrylonitrile) blends via addition of polystyrenecitations
- 2008Micro- and nanostructured polymer blends : Processing, properties and foaming behaviour
- 2007Foaming of polymer blends : Chance and challengecitations
Places of action
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article
Bayesian optimization-based prediction of the thermal properties from fatigue test IR imaging of composite coupons
Abstract
The prediction of the prevailing self-heat transfer parameters of a glass/epoxy composite coupon during fatigue testing in general and the distinction between viscoelastic- and frictional crack growth-related energy dissipation in particular, are not trivial problems. This work investigates the feasibility of predicting the convective film coefficient, the total work loss as well as the ratio between viscoelastic and fracture-induced damping from thermal images using Bayesian optimization in conjunction with 3D FE thermal analysis. To this end, glass fiber/epoxy biax coupons are pre-damaged by means of a drop weight impact machine and subsequently tested under uniaxial tension-tension high cycle fatigue conditions. IR images are taken of the self-heating thermal profile at steady-state conditions. Synthetic surface thermal images are generated by numerical thermal analysis of the damage distribution obtained by μ-CT scanning prior to testing. Bayesian optimization of the aforementioned parameters is conducted by minimizing the loss function between the as-measured and the synthetic IR image. The predicted work-loss is consequently validated against the measured hysteretic response, from which a very good agreement is found.