Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913133051772928 |
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| author | Balouchev, Boian Dölz, Jürgen Nolte, Maximilian Schöps, Sebastian Torchio, Riccardo |
| author_facet | Balouchev, Boian Dölz, Jürgen Nolte, Maximilian Schöps, Sebastian Torchio, Riccardo |
| contents | We discuss the advantages of a spline-based freeform shape optimization approach using the example of a multi-tapered coaxial balun connected to a spiral antenna. The underlying simulation model is given in terms of a recently proposed isogeometric integral equation formulation, which can be interpreted as a high-order generalization of the partial element equivalent circuit method. We demonstrate a significant improvement in the optimized design, i.e., a reduction in the magnitude of the scattering parameter over a wide frequency range. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19025 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method Balouchev, Boian Dölz, Jürgen Nolte, Maximilian Schöps, Sebastian Torchio, Riccardo Computational Engineering, Finance, and Science We discuss the advantages of a spline-based freeform shape optimization approach using the example of a multi-tapered coaxial balun connected to a spiral antenna. The underlying simulation model is given in terms of a recently proposed isogeometric integral equation formulation, which can be interpreted as a high-order generalization of the partial element equivalent circuit method. We demonstrate a significant improvement in the optimized design, i.e., a reduction in the magnitude of the scattering parameter over a wide frequency range. |
| title | Isogeometric Shape Optimization of Multi-Tapered Coaxial Baluns Simulated by an Integral Equation Method |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2406.19025 |