Polymer-matrix composites using thermosetting resins as the matrix are
increasingly finding use. However, a major impediment to their widesp
read commercial use is the high cost associated with their manufacture
, arising from the long processing cycle times. This paper addresses t
he problem of determining cure temperature and pressure variations wit
h time for a time-optimal manufacture of thermosetting-matrix composit
es subject to practical constraints. The optimal cure cycles are deter
mined using the nonlinear programming scheme of sequential quadratic p
rogramming combined with a physical model base to simulate the process
phenomena. The optimized cycles are shown to improve upon the manufac
turer-recommended cycles as well as the improved cycles reported in th
e literature. The optimization results are reported for a wide range o
f resin materials, product specifications, and process constraints to
illustrate their effects on the optimal cure cycles. Parametric studie
s are presented in terms of dimensionless groups to assess the combine
d effects of the product and process variables on the optimal cycles i
n a generalized manner.