The object of the presentation is the development of a topology optimization tool for designing fibre-plastic composite structures which is appropriate for each material involved. The main goal of this algorithm is maximum rigidity with as even a distribution of tension as possible throughout the component, which is achieved by distributing the load from high-load to lower load bearing areas, thereby optimizing material distribution. The weight optimization of specific components is possible in this way. As continues to be shown, the developed adaptive topology and fibre angle optimization is beneficial from a technological, materialmechanical and economical point of view, and can be applied in everyday practice without any problems. The comparison of theoretical and practical experiments with carbon fibre reinforced plastic prototypes is followed by the display of the weight, stability and rigidity characteristics of the optimization method by means of numerical examinations of FE models. On the basis of these numerical examinations, it has proven possible to develop a method which optimizes the topology and orientation of every single fibre layer of an entire laminate in a simple manner. The result produced is a structural recommendation which complies with the performance capacity of the FPC. The structural optimization of FPC is already done automatically on relatively large components. It has been used several times in practical applications and has produced convincing results through significant improvements to the structural properties of the optimized components.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.