Robust Design Optimization of 3D Tandem Grain Configuration for Dual Thrust Solid Rocket Motor

In reality all the engineering products are likely to deviate from their expected performance due to the presence of variations. The variations can cause any product optimization to easily fall into sub-optimal regime. In present adopted methodology, the robust design optimization (RDO) of the objective function makes performance insensitive to the variations/uncertainties. A hybrid optimization technique consisting of Genetic Algorithm (GA) with Simulated Annealing (SA) algorithm is used for grain design to achieve two levels of thrust. The present work investigates the robust design optimization of 3D grain geometry for aerospace vehicle that utilize dual thrust solid rocket motor (SRM) propulsion system. For present study, a tandem arrangement of star grain with cylindrical grain in booster and sustainer phase respectively is selected.