IMPROVING GRAPHENE-EPOXY MIXING RECIPES WITH HPC SIMULATIONS
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- POC
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- IMPROVING GRAPHENE-EPOXY MIXING RECIPES...
This project uses HPC for optimizing parameters such as constituent type and ratio in epoxy-GO nanocomposites, to maximize their physical and mechanical properties. Parameters for a homogeneous repeatable producing process are be determined.
Start date: 01/06/2021
Duration in months: 18
Problem Description
Nanografi sells over 1,000 advanced materials, including nano-sized graphene and graphene oxide-enhanced polymer composites for aerospace use. Alti Dynamics, a business partner, focuses on finding additives for enhanced properties. However, current processes are costly and time-consuming.
Goals
New services
Challenges
The current process involves an iterative "synthesize-test-improve" cycle for developing composites with optimal properties, but experiments are costly and time-consuming, since obtaining highly dispersed graphene sheets with strong adhesion is challenging.
Innovation results
Computational chemistry methods in HPC systems were used to simulate potential enhancements to material properties of epoxy/GO nanocomposites. The experiment optimized functional groups, resin matrix structure, and mechanical and thermal properties.
Business impact
Alti Dynamics reduced development time by 15% and costs by 20% and expects to save over €260,000 per year. The HPC-based workflow will provide Alti Dynamics with an increase in revenue of €750,000 over the next 3-4 years. Within 3 years, Nanografi expects to increase sales by a factor of 10.