In this paper, we used a topology gradient method coupled with a finite element method in order to optimize the shape of a microstrip component. We appended a 2-D distribution ofmetal on the substrate and tried to optimize its form by taking benefits of the topology gradient method. The concept of topology gradient using a numerical method is given in this article, and finally, the results of using this approach in the context ofmicrowave component optimization is shown.
A broadband semiconductor optical amplifier (SOA) has been realized for the coarse WDM (CWDM) based systems operating over the O-band range. The SOA exhibits low polarization sensitivity, 23 dB gain and low noise based on the asymmetric multi-quantum well (AMQW) technique. Reflective SOAs (for modulating the upstream data in passive optical networks (PONs)) as well as in-line or booster amplifiers in CWDM systems are some of the applications of such a SOA.
Topology optimization can be seen as optimizing a distribution of small topological elements within a domain with respect to given specifications. A numerical topology gradient (TG) algorithm is applied in the context of electromagnetism for optimizing microwave devices, computing the sensitivity on adding or removing small metallic elements. This method leads to an optimum topology with very little initial information in acceptable time consumption. The method is applied to the design of a microstrip component in which the topology gradient is directly used as a direction of descent. However, in some ill-behavior problems, topology gradient is not sufficient to converge to the global optimum. In the latter case, the basic TG is coupled with a genetic algorithm (GA) to make a more suitable algorithm for solving local optima problems.
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.