A machine learning approach to determine the elastic properties of printed fiber-reinforced polymers

Author:

Thomas Akshay J.,Barocio EduardoORCID,Pipes R. ByronORCID

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference58 articles.

1. Numerical prediction of fiber orientation and mechanical performance for short/long glass and carbon fiber-reinforced composites;Tseng;Compos. Sci. Technol.,2017

2. A numerical approach for injection molding of short-fiber-reinforced plastics using a particle method;Yashiro;Adv. Compos. Mater.,2011

3. Particle simulation for predicting fiber motion in injection molding of short-fiber-reinforced composites;Yashiro;Compos. Appl. Sci. Manuf.,2012

4. The importance of carbon fiber to polymer additive manufacturing;Love;J. Mater. Res.,2014

5. E. Barocio, B. Brenken, A. Favaloro, R. Pipes, Extrusion deposition additive manufacturing of composite molds for high-temperature applications, in: Proceedings of the Int. SAMPE Tech. Conf., Seattle, WA, USA, pp. 22–25.

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