Our services
For years, we have assisted top aerospace and automotive companies around the world in developing new technologies for high performance, high end-valued products.
Process Development Services
Through highly experienced numerical scientists with more than 20 years of experience, RAM offers simulation services for process analysis and optimization using our in-house tools
Our well known capabilities in process modeling offer our customers the following benefits:

Modeling of Various Composites Molding Processes

Injection Strategy

Process Optimisation

Elimination of Voids and Air Entrapment

Deformation prediction
MATERIAL CHARACTERIZATION
Permeability, dual-scale porosities fiber tortuosity are key parameters that define the quality of the injected composite part. At RAM, years of scientific research have lead to the development of unique characterization tools for fibrous reinforcements (see PERMLAB). Using these tools, we are able to characterize and select the proper fibrous reinforcement for your molding process. RAM is proud to share with you his knowledge in:
Permeabilities
In-plane and out-of-plane permeabilities of mats, non-crimp or woven fabrics and core-laminated reinforcements. Using simple but precise techniques, RAM engineers are able to quickly measure this key parameter for liquid resin injection.
Resin flow and void formation
Analysis of saturated and unsaturated resin flows and measurement of voids formation. Proper fiber impregnation, at macro and micro levels, is needed in order to obtain high-performance, high-gloss parts. The impact of voids on mechanical properties is a well recognized problem in RTM, VARTM and their variants. Unique characterization tools allow us to study and understand fundamental behaviour of resin infiltration and resin cure (see CureTool).
Fiber draping experimental analysis
Draping of dry laminates is essential to obtain constant mechanical properties along the part. Simulation softwares are today available for the numerical prediction of fibre orientation. However, expert data such as buckling angle or shearing force is required in order to avoid common prediction errors.