No abstract

From the perspective of consumer’s different fabric demand, application operational research of analytic hierarchy process (AHP) for candidates of the fabric to choose the best. Dust coat fabric, for example, the optimal choice as the target layer of fabric, with fabric bending stiffness, elasticity and thickness, permeability index, thermal resistance as the criterion layer, according to the research of the typical multiple dust coat fabric for plan layer, dust coat fabrics of hierarchical analysis model is established, combining quantitative and qualitative indicators, structural optimization selection of fabrics of judgment matrix. Consumer’s demand determines the weights of criteria layer, candidate fabric corresponding criterion layer of the experimental data as a basis of criterion for solution layer weight. Using the matlab language to calculate and design the interface, so as to realize the intelligent optimization selection of fabrics.

An optimization strategy is presented for composite wing box structure using genetic algorithm with manufacturing constraints. Firstly, on the basis of region division and key region defined, both fiber orientation angle and covered length of each ply are treated as design variables to optimize laminate thickness and stacking sequence simultaneously while maintaining laminate ply continuity. Secondly, a parallel genetic algorithm (GA) is adopted to accelerate optimization process. Finally, a composite wing box is used to demonstrate the effectiveness of the proposed method. The result shows that the optimization method can obtain optimum design with light weight which satisfies manufacturing constraints for large composite wing structure.