Search

Since carbon fiber woven composite panels contain complex fiber bundle structures, the aim of this paper is to investigate the factors influencing the macro-equivalent properties and topological flexibility of composite panels resulting from variations in fiber bundle configuration. Firstly, the structural topology optimization design of carbon fiber composite plates was achieved using a multi-scale modeling approach with the variable density method. Nonlinear relationships between carbon fiber bundle configuration parameters and macroscopic equivalent properties, as well as macroscale topological flexibility, were determined using deep learning methods, respectively. The maximum error in the predicted values of the deep learning network model does not exceed 0.5% when compared with the results of the finite element calculations. In addition, utilizing deep learning networks to predict macro-equivalent properties of composites can significantly decrease computational time. The impact of varying the number of filaments in fiber bundles and the spacing of the fiber bundles on the flexibility of the topology was determined using a deep learning network. The optimal topological flexibility, along with its corresponding fiber bundle spacing and number of fiber bundle filaments, are globally searched within the design domain using an adaptive genetic algorithm. The study in this paper can provide a reference for designing fiber bundle configurations of composites for practical applications. [ABSTRACT FROM AUTHOR]

With the actual demand for lightweight and high strength of metal parts, wrinkling has become one of the main problems restricting the overall forming of thin-wall members. Therefore, the efficient and accurate prediction and control of it have actual significance. In this work, a critical principal strain analytic model for plate and shell wrinkling was set up with the combination of energy method theory and plastic flow law of material. And a numerical procedure of establishing the wrinkling limit diagram (WLD) was developed based on the finite element method and the critical principal strain analytic model. With the sidewall wrinkling in deep drawing process of the conical cup and the wrinkling of square plate in the Yoshida bucking test (YBT) as the analysis object, the morphology and the characteristics of the WLD under different forming processes were studied, and the effect of loading conditions and stress loading history on the WLD was investigated, it is observed that the WLD is different under the same sheet material but different loading conditions, and indicated the WLD is dependent on the loading conditions. • A critical wrinkling principal strain analytic model and a WLD procedure were set up. • The WLDs of the two processes are all straight lines and can identify the wrinkling. • The stress increment determines the wrinkle resistance strength of the process. [ABSTRACT FROM AUTHOR]