Publication | Composites and Advanced Materials Expo (CAMX) 2018

Hybrid Finite Element-Geometric Forming Simulation of Composite Materials

The proposed method in this paper is now offered as part of Autodesk’s offerings on composite material simulation tools.

Download publication


Hybrid Finite Element-Geometric Forming Simulation of Composite Materials

Mehran Ebrahimi, Matt Thorn

Composites and Advanced Materials Expo (CAMX) 2018

Computer simulations can extensively help engineers to gain a better understanding of the fabrication processes prior to actually applying them, thus avoiding the manufacturing costs associated with trial-and-error for creating new designs. Of particular importance is fiber-reinforced composite material parts, as their fabrication cost is comparably higher than traditional materials such as metals. In this paper, a hybrid finite element-geometric algorithm for draping simulation of woven fabric composites over a triangulated 3D surface is described. In this algorithm, the composite fabric is characterized as a group of square or rectangular cells modelled via six springs to which a set of physical equations is applied. The values of spring constants are representative of the actual material properties. Hence, compared to purely geometrical methods, this algorithm leads to a more accurate simulation of wrinkles and distortions, and converges significantly faster than purely finite element approaches. The flat contour can also be produced naturally along with the draping simulation. The hybrid approach can also seed normal simulation models in order to gain efficiencies on calculation time. Initial results were testing on various single-layer forming simulations.

Related Resources



Exploring Construction Automation with The Boston Dynamics Spot Robot Challenge

Highlighting the four finalists in The Boston Dynamics Spot robot…



Stroke Pattern Analysis and Synthesis

We present a synthesis technique that can automatically generate…



Hardware implementation of a bio-plausible neuron model for evolution and growth of spiking neural networks on FPGA

The natural-language approach to identifying biological analogies…



Data Visualization and Visual Analytics

Visual data representations leverage the power of human perception to…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us