Design and optimization of slotted tube grain configuration using Simulated Annealing

Simulated Annealing (SA) is applied in optimization of slotted tube grain configuration. We propose a CAD based geometry calculation function, to increase calculation accuracy, integrated with internal ballistic model. CAD representation encapsulates all of the geometric entities pertinent to the grain design in a parametric way, allowing manipulation of grain entity (web), performing regression and automating geometrical data calculations. Average thrust is the impetus driver on performance, and so is considered as the core of grain design process. It is demonstrated with a constrained optimization for slotted tube grain using simplified internal ballistics model that maximizes average thrust for minimal deviations from neutrality.