Ricke, A., Berk, O., Koch, T., Liska, R., & Baudis, S. (2024). Cyclic acetals as expanding monomers to reduce shrinkage. Angewandte Chemie, Article e202414938. https://doi.org/10.34726/6999
E163-02-1 - Forschungsgruppe Polymerchemie und Technologie E308-02-1 - Forschungsgruppe Strukturpolymere
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Journal:
Angewandte Chemie
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ISSN:
0044-8249
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Date (published):
2024
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Number of Pages:
10
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Publisher:
Wiley
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Peer reviewed:
Yes
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Keywords:
Photopolymerization
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Abstract:
Polarity-reversal catalysts (PRCs) for hydrogen-atom transfer reactions have been known in radical chemistry for more than 60 years but are rarely described and utilized in the field of photopolymerization up to now. Herein, we present the use of thiols in a unique dual function as thiol-ene click reagents and as polarity-reversal catalyst (PRC) for the radical-mediated redox rearrangements of benzylidene acetals. During the rearrangement reaction, cyclic benzylidene acetals are transformed into benzoate esters leading to a significant volumetric expansion to reduce thermoset shrinkage. We were able to show that this expansion on a molecular level reduces shrinkage and polymerization stress but does not significantly affect the (thermo-)mechanical properties of the cross-linked networks. One of the key advantages of this process lies in its simplicity. No additives like sensitizers or combinations of different initiators (radical and cationic) are needed. Furthermore, the same light source can be used for both the polymerization reaction and expansion through rearrangement. Additionally, the applied photoinitiator enables spatial and temporal control of the polymerization; thus, the developed system can be an excellent platform for additive manufacturing processes.
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Project (external):
Christian Doppler Forschungsgesellschaft European Union
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Project ID:
Christian Doppler Laboratory for Advanced Polymers for Biomaterials and 3D Printing Marie Skłodowska-Curie grant agreement no. 765341 (Project PHOTOEMULSION, MSCA-ITN-2017)
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Research Areas:
Special and Engineering Materials: 33% Materials Characterization: 33% Structure-Property Relationsship: 34%