Statistical Analysis Of 3D-Printed Flat Grin Lenses
Keywords
3D Printed Flat Lens; Grading Index (GRIN) Lens; Polynomial Chaos Expansion; Statistical Analysis
Abstract
This paper presents the statistical analysis of a 3D printed flat lens by using the Polynomial Chaos Expansion (PCE) analysis technique. The flat lens is fabricated using the 3D printing technology and is based on the grading-index (GRIN) approach. It is composed of several concentric rings with graded relative permittivity, made of a single material with different air holes-host material volume ratio. We show that the hole size can have significant effect on the performance of the lens, especially on the focal distance. PCE analysis enables us also to determine the impact of each individual ring on the performance of the lens.
Publication Date
10-25-2016
Publication Title
2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016 - Proceedings
Number of Pages
473-474
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/APS.2016.7695945
Copyright Status
Unknown
Socpus ID
84997525285 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84997525285
STARS Citation
Acikgoz, Hulusi; Arya, Ravi Kumar; and Mittra, Raj, "Statistical Analysis Of 3D-Printed Flat Grin Lenses" (2016). Scopus Export 2015-2019. 4459.
https://stars.library.ucf.edu/scopus2015/4459