SMC simulation tool enhances design optimization

Failure in Random Material Architectures (FiRMA) is Engenuity’s (West Sussex, U.K.) distinctive analysis approach for sheet molding compound (SMC). It enables designers to optimize SMC structures through an accurate predictive technique that calculates the weakest and strongest components expected in a batch.

Theoretically, the material strength in SMC at any particular location can range from matrix strength (poor) to unidirectional fiber strength (good) — or anywhere in between. According to Engenuity, one material property, applied everywhere in the model immediately compromises the simulation quality. FiRMA accounts for this range in material properties by preprocessing the model and coupling testing with simulations to arrive at a modeling method that accurately reflects the material at all scales.

FiRMA determines the range of performances a population of parts will exhibit while also providing information across the population about where the material starts to degrade. The approach has been developed to be compatible with other modeling practices — adding reinforcing tapes or coupling with crash simulations such as Engenuity’s specialist composite crash add-on, CZone.  

Currently, FiRMA assumes a random fiber distribution across the part, which is suitable for many applications. However, a research project is currently underway to apply this technique to more complex structures. Called FEA-SMC and funded by the ATI through the NATEP program, Engenuity is working with Spirit Aerosystems, Creative Composites, WMG and Simutence to upgrade FiRMA. The new version, FiRMA Flow, will include flow effects present in the material during compression molding. It will enable biasing of the fiber orientation so that a non-random distribution derived from a process simulation can be used for the structural simulation.

Overall, FiRMA allows SMC to be used in more structural and semi-structural applications without the need for prototyping, gives more confidence to designs, speeds up development time and reduces development cost.