Application-inspired additive manufacturing of Raman optics

authored by

Tobias Grabe, Tobias Biermann, Alexander Wolf, Jassim Al-Nuwaider, Henrik Krauss, Jannes August, Weijia Yu, Jannis Ben Heinz, Maximilian Bayerl, Ke Xu, Qiang Wang, Junjun Wu, Bernhard Roth, Wei Ren, Roland Lachmayer

Abstract

While additive manufacturing (AM) enables the production of versatile optical components, the limited knowledge of manufacturing processes makes the development of accurate simulation tools and evaluation criteria challenging. In this work, we present a novel approach to address the specific challenges in the AM of optics by designing and fabricating freeform probe lenses for Raman Spectroscopy (RS) using the Multi-Jet Modeling (MJM) printing process. We successfully integrate the lenses into an RS system and demonstrate their performance in detecting melamine with a maximum signal-to-noise ratio of 164[Formula presented]. We outline the capabilities and limitations of the AM process and adapt simulations to reveal the potential impact of manufacturing tolerances and diffraction effects on layered optical components. Based on our results, we highlight the potential to develop novel design standards for the AM of optics, providing a platform for further exploration and investigation.

Organisation(s)

Institute of Motion Engineering and Mechanism Design
PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines
Hannover Centre for Optical Technologies (HOT)

External Organisation(s)

GROTESK – Additive Manufacturing of Optical, Thermal and Structural Components
The Chinese University of Hong Kong
Chinese Academy of Sciences (CAS)
Chongqing University

Type

Article

Journal

Optics & laser technology

Volume

165

ISSN

0030-3992

Publication date

10.2023

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

Electronic version(s)

https://doi.org/10.1016/j.optlastec.2023.109574 (Access: Open)