Batch optimization algorithm for autoclave curing of fiber-reinforced composites

Composite materials in terms of fiber-reinforced plastics (FRP) are used as lightweight materials in various products for example airplanes or helicopters. The manufacturing of high performance carbon fiber-reinforced plastic (CFRP) parts in the aeronautics industry often relies on preimpregnated fibers (prepregs) which are cured in an autoclave. In this context, the production output mainly is determined by the autoclave being a bottleneck in production. To address this issue, we present a novel approach to model a batch optimization problem in the context of composites manufacturing and then introduce a batch optimization algorithm based on the principle of a genetic algorithm. Furthermore, a simulation study, which is used to assess the performance of the proposed algorithm, is described.