Mirac Dizman - Esperanto Project

Participant from POLITO

photo of MIRAC_DIZMAN , description text of his Sustainable curing of thick samples and dark areas by photoinduced frontal polymerisation

PROJECT OBJECTIVES

Curing of thick samples and samples buried in dark areas (e.g., in opaque containers, between two metallic joints, composites with a high amount of light-absorbing fillers) with low energy consumption by photoinitiated frontal polymerisation.

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Optimization of the process considering thermal effects, reaction mechanism, type of formulation, and environment and process conditions, also supported by the process modelling (academic secondment).

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Full characterisation of the photocured materials, in view of their application as adhesives.

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Obtaining of at least one material/process that is more sustainable than the selected benchmark and has comparable performances.

EXPECTED RESULTS

Protocols for the preparation and characterisation of materials obtained by photopolymerisation without direct irradiation.

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Photocured thick samples and samples buried in dark areas with suitable thermo-mechanical properties for their application.

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Setting of an appropriate sustainability metrics, and sustainability assessment of the new materials.

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Trained researcher expert on photoinitiated frontal polymerisation with expertise in the monitoring of chemical processes and their modelling, also acquired during secondments.

PLANNED SECONDMENTS

HOST 1

Imperial (UK), supervisor: J. Cabral, timing: month 25, length: 6 months. Purpose: monitoring of the photopolymerisation processes and its modelling; introduction to machine learning in physical-chemistry.

HOST 2

LOGITECH (CH), supervisor: J. M. Chardon, timing: month 36, length: 3 months. Purpose: application of the developed adhesive formulations in device fabrication and assembling.

*Enrolment in Doctoral degree: at POLITO. Dr. A. Vitale will act as supervisor and Dr. M. Quaglio as co-supervisor.

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This project has received funding from the EU’s Horizon 2021 programme under the Marie Skłodowska-Curie Doctoral Networks (MSCA-DN) grant agreement No 101073432.