Studies can also be carried out on particular functions or components of designs to find optimal forms. Rather than “a priori” analysis of pre-developed solutions to a problem here a form is found which meets a set of performance criteria. An example of this would be our use of the software “Surface Evolver” to generate a radical new diaphragm form for AWS. Loud1Design proposed a non-straining cushion form that would meet the chosen air capacity required by their engineering research team. The input then to this evolution of the form was a perimeter geometry and a target volume. This kind of problem is difficult to guess or pre-calculate from first principles, so in this way we can then evolve an optimal solution that emerges from the set of conditions subject to physical (or pseudo-physical) laws. This approach allowed many different capacities and perimeter geometries to be explored, contributing to the understanding of the key performance characteristics of the system.