Surrogate-assisted optimization of 3D printed ceramic nonuniform nonplanar microstrip filter


Mahouti T., KUŞKONMAZ N., YILDIRIM T.

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2022 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1002/mop.33295
  • Journal Name: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Keywords: 3D printer, ceramic material, Grey Wolf Optimization, surrogate modeling, PARAMETER EXTRACTION, DIELECTRIC LENS, PATCH ANTENNA, MICROWAVE, NETWORK, DESIGN, MODEL

Abstract

Herein, by using 3D printing technology and data-driven surrogate model-assisted optimization method, design of a ceramic material-based nonuniform nonplanar microstrip filter is taken into the consideration in a computationally efficient and low-cost manner. For this aim, 3D EM model of the proposed design had been used for generating training and validation data sets. Then commonly used state-of-the-art regression algorithms had been used for creating accurate and fast surrogate models to create a mapping between inputs of the model and outputs of the unit element design. After that, Grey Wolf Optimization algorithm had been used for design optimization of a bandpass filter. Then, via the use of 3D printer, the optimally designed filter had been prototyped and its performance characteristics are measured. As a result, by using 3D printer technology, ceramic material, and the proposed method, design optimization of nonuniform nonplanar microstrip filter can be achieved in a computationally efficient way.