Category - Digimat

9
Jan

Ford Motor Company Uses Digimat for NVH Optimization

Advanced anisotropic damping modeling for NVH optimization The Ford Motor Company uses glass fiber reinforced plastic materials for powertrain parts such as engine covers, air intakes and engine oil pans. These materials offer numerous benefits with regards to automotive component design including lightweighting and a better damping compared to metal. However, due to the complexities …

18
Jun

Predictive Simulation Tools for Additive Manufacturing

With more than 30,000 additively manufactured parts a year going into aircraft, trains, and high end automobiles, Additive Manufacturing has now become an effective industrial production technique. While AM brings valuable opportunities to the industry (weight saving, customization, decreased time-to-market), it still faces the same challenges other manufacturing processes face such as injection molding to …

14
Feb

3D Woven Analysis Using Digimat

Proportions of composite materials for aeronautic applications have dramatically increased over the last decades because of their inherent properties combining high mechanical properties with low mass. However, the major concern of the traditional 2D composites is the reduction of properties due to delamination between plies because of weak through-the-thickness properties. Three dimensional woven give the …

13
Dec

Discover Digimat 2018

Digimat 2018 brings new levels of efficiency for as-manufactured structural analysis of reinforced plastic components through major enhancements of Digimat-RP. A completely redesigned user interface welcomes the connection to more molding manufacturing data such as weld line, fiber volume fraction, fiber length and residual stresses. Accurate design of short or long fiber-reinforced plastic components as …

1
Aug

Multi-scale material modeling for additive manufacturing

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.

24
Jun

Impact on a Stiffener for Lower B-Pillar

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.  

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