Draping simulation using optimization techniques H. de Boerand F. van Keulen Delft University of Technology Faculty of Mechanical Engineering P.O. Box 5033, NL 2600 GA Delft phone +31-(0)15-2786512, email [email protected] Introduction Simulation of deep drawing of fabric reinforced com- posites is investigated. Numerical simulation is, for instance, required to enable structural analysis. An enhanced geometrical algorithm on the basis of opti- mization techniques is presented. Approach Geometrical methods make use of the fact that once two perpendicular yarns are located, the complete fabric is uniquely defined. The problem of covering a product surface with fabric is herewith reduced to finding the location of these yarns. That is: define the curvature of a yarn as a function of a material coordi- nate y (See Figure 1). In the optimization based method the curvature is de- termined by: Mould surface curvature in normal plane. Control variables curvature in tangent plane. Governing equation: Physical reliable values for the control variables are determined by using optimization techniques. Advantages of the optimization based approach: Computational efficient. Flexible i(y) n(y) j(y) x(y) Tangent plane Normal plane Yarn y Figure 1 : Geometry of a yarn. Results Draping of a closed semi-cylinder is examined. The fitness of each intermediate covering (Figure 2) is computed by an objective and constraint function. Currently, the objective function is a weighted mean shear angle, while the constraint function eliminates wrinkles. Figure 2 : Intermediate coverings and final solution Discussion It is possible to formulate the problem of simulating forming processes as a constraint optimization prob- lem. The forming process to be simulated is reflected by objective and constraint functions. References 1. De Boer, H. and Van Keulen, F. Simulating forming pro- cesses of fabric reinforced composites by applying optimiza- tion. In: 7th AIAA/USAF/NASA/ISSMO Symposium on Mul- tidisciplinary Analysis and Optimization, St. Louis, Missouri, September 2-4, 1998, Part 2, AIAA-98-4842, 1045-1055.