No abstract

Multi-disciplinary shape optimization of a re-entry capsule with aero-thermodynamic, trajectory, stability and the geometry considerations is presented in this research. The method is based on decomposition of the underlying problem into disciplinary routines performing separated analysis for each goal. The objectives of the optimization are maximizing volumetric efficiency, minimizing longitudinal stability derivative and minimizing the ballistic coefficient, subject to constraints on geometry, heating load and deceleration. Utilizing a multi-objective genetic algorithm will result in a collection of Pareto optimal solutions. Then, the multi-disciplinary multi-objective optimization process allows finding a Pareto front of the best shapes. Resulting optimal solutions obviously show the compromises among volumetric efficiency, longitudinal stability and ballistic coefficient. In the end, the results containing dimension's characteristics of the re-entry capsule are presented.