“Working with the researchers at NYU Tandon’s department of mechanical and aerospace engineering, we have developed a new method for predicting the behavior of thermosetting nanocomposites over a wide range of temperature and strain rates”, said Dr. Voskresensky, Head of Research & Development at GrapheneCA’s New York-based production facility. “Furthermore, the same approach potentially can be applied to predict a behavior of thermoplastic materials,” he added. “This is a critical step towards advanced 3D composite production.”
With Nikhil Gupta, professor of mechanical and aerospace at NYU Tandon, who led the research with Ph.D. student Xianbo Xu, GrapheneCA developed data that could help manufacturers optimize the characteristics of composites for specific uses without having to perform countless costly, time-intensive testing with numerous samples. The work is detailed in “Artificial Neural Network Approach to Predict the Elastic Modulus from Dynamic Mechanical Analysis Results,” which will be featured on the inside cover of the journal Advanced Theory and Simulations.
“Applying artificial neural network approach to predict the properties of nanocomposites can help in developing an approach where modeling can guide the material and application development and reduce the cost over time” said Dr. Gupta.
“This is an invitation for manufacturers to work with us to make new graphene composites,” concluded Dr. Voskresensky, “But it is but one example of what we envision doing in cooperation with NYU Tandon.”