Optimization of Combining Fiber Orientation and Topology for Constant-Stiffness Composite Laminated Plates
- 117 Downloads
This paper deals with an efficient optimization method of combining fiber orientation and topology for constant-stiffness composite laminated plates. The optimal topology and fiber orientation can be simultaneously obtained, using the proposed method. To overcome the non-monotonous behaviors derived from directly optimizing fiber orientation, the lamination parameters are selected as design variable. The proposed method mainly includes two steps. Initially, lamination parameters and density are taken as the design variables for determining the fiber orientation and topology shape. A combined optimization model is built based on the penalization theory. The optimal lamination parameter and topology shape can be achieved simultaneously in this step. Then, solving nonlinear equations is transformed into a least squares optimization problem. The optimal fiber orientation is obtained and matched with the optimal lamination parameter. Finally, numerical examples of designing short cantilever beam and compliant inverter are performed to illustrate the validity of this method.
KeywordsTopology optimization Fiber orientation optimization Constant-stiffness composite laminated plates Lamination parameters
Mathematics Subject Classification49J35 74E30 74P05 74P15
The paper was revised by Prof. Xinqin Gao for mathematical expositions and Prof. Yan Li for English service authors, which helped us to improve the paper. Author would like to thank for the support provided by the National Natural Science Foundation of China (Grant Numbers 51375383 and 51575443) and Doctor’s Research Foundation of Xi ’an University of Technology (Grant Number 102-451118017).
- 16.Li, D., Zhang, X., Guan, Y., Zhang, H.: Topology optimization of compliant mechanisms with anisotropic composite materials. In: IEEE International Conference on Mechatronics and Automation Conference, Xi’an (2010)Google Scholar
- 25.Howell, L.L.: Compliant Mechanisms. Wiley, Hoboken (2001)Google Scholar