Process Optimization of Composite Flex Beams using Neural Networks
Large scale, intricate shape parts with widely varying
cross-sections find difficulty in manufacturing using conventional
manufacturing processes. Cavity molding, a process similar to
compression molding is unique and often used in rotorcraft industries to
manufacture thick flex beam composite parts with high viscosity resins.
The curing of thermosetting resins used in these applications is
usually accompanied by an exothermic reaction and excessive heat buildup
during the polymerization reaction can cause internal stresses to
build-up and result in structural defects in thick composite structures.
Process optimization of flex beam composite parts manufactured using
the cavity molding process will result higher quality parts. In this
