Akira Santos, Ali Andersson
Open Access Journal of Engineering Applications · doi:10.55555/oajea.2017.4101.001
Industry increasingly demands predictive tools that link graphene-based composites to the observable performance of industrial automation. The governing equations are solved numerically and the results verified through field measurement campaigns. Accounting explicitly for graphene-based composites improved overall performance by roughly 38%. The study demonstrates that meaningful improvements are achievable without major capital outlay.
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