journal article·2025-10-17Open access

Reduction in Reflection Signal Losses in Complex Terahertz Optical Elements Through Tailored Oil Application

Mateusz Kaluza, Adrianna Nieradka, Mateusz Surma, Wojciech Krauze, Agnieszka Siemion

Applied Sciences· Volume 15· Issue 20

Abstract

In complex terahertz (THz) systems, multiple optical elements are often combined to achieve advanced functionalities. However, unwanted Fresnel reflections at their interfaces and between components lead to parasitic interference effects and signal losses. This study presents oil-based refractive-index-matching fillers integrated with additively manufactured assemblies to suppress Fresnel reflections and enhance overall optical system performance. The optical properties of 20 plant-based, synthetic, and mineral oils were investigated using terahertz time-domain spectroscopy (THz TDS). Furthermore, a multilayer structure was designed and experimentally verified, fabricated via fused deposition modeling (FDM) using highly transparent cyclic olefin copolymer (COC). The results demonstrate that the use of tailored oils reduces Fresnel reflection signal losses and also mitigates parasitic interference within the system, thereby improving the effective efficiency of the optical system. Additionally, THz TDS measurements on multilayer structures revealed that, in imaging configurations, the application of refractive-index-matched oils increases the signal gain by 2.33 times. These findings highlight the potential of oil-based index-matching fillers for imaging multilayered objects and mitigating delamination effects in optical elements.
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Research context

OpenAlex topics: Photonic and Optical Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Physics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland

Institute of Micromechanics and Photonics, Faculty of Mechatronics, Warsaw University of Technology, Św. A. Boboli 8, 02-525 Warsaw, Poland

Funding

National Information Processing Institute

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