While additive manufacturing of reinforced polymers is appealing and increasingly considered for production of actual parts, major obstacles must be overcome by engineers. Dimensional accuracy of the part must obey to strict tolerances that may not be met due to thermally induced part distortion or poor surface roughness. On the material side, an anisotropic material behavior is brought in by the specific 3D printed layered architecture and oriented reinforcements. This process-induced material behavior make the part mechanical response challenging to predict.
Therefore, Digimat, the material modeling platform, can offer you a solution to overcome your challenges.
L&L Products is a provider of individual and innovative engineering solutions to the automotive industry and is known for superior engineering through the use of state-of-the-art simulation methods in the product development chain. However, they faced the challenges in moving towards greener technology by replacing classical metal design with composite structures. The purpose of transitioning was to utilize the outstanding performance of composite materials. However, this presented difficulties, mainly with predicting the injection molding process and achieving a high-quality prediction of the impact on a short fiber reinforced stiffener beam.
The expansion of additive manufacturing has created a need for simulation and data management tools that will help engineers optimize the 3D printing process in order to reduce production costs, increase robustness/reliability and improve performance by optimizing design. This blog post will explore how MSC’s simulation tools are currently being used by customers to advance 3D printing.