Projects per year
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.
| Original language | English |
|---|---|
| Article number | 109574 |
| Journal | Optics & laser technology |
| Volume | 165 |
| E-pub ahead of print | 16 May 2023 |
| DOIs | |
| Publication status | Published - Oct 2023 |
Keywords
- Additive Manufacturing (AM)
- Design for Additive Manufacturing (DfAM)
- Multi-Jet Modeling (MJM)
- Optics manufacturing
- Raman spectroscopy
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
Projects
- 1 Finished
-
PhoenixD: Cluster of Excellence 2122/1: Photonics, Optics, and Engineering – Innovation Across Disciplines
Morgner, U. (Principal Investigator) & Overmeyer, L. (Co-Principal Investigator)
1 Jan 2019 → 31 Dec 2025
Project: Research
Datasets
-
µCT data of an AM Raman probe lens
Grabe, T. (Creator), Biermann, T. (Creator), Wolf, A. (Creator), Al-Nuwaider, J. (Creator), Krauss, H. (Creator), August, J. (Creator), Yu, W. (Creator), Heinz, J. B. (Creator), Bayerl, M. (Creator), Xu, K. (Creator), Wang, Q. (Creator), Wu, J. (Creator), Roth, B. (Creator), Ren, W. (Creator), Lachmayer, R. (Creator) & Teves, S. (Related Person), Forschungsdaten-Repositorium der LUH, 2023
DOI: 10.25835/jgq737nv, https://data.uni-hannover.de/dataset/158cb3d6-4096-4ba7-a4c4-db5ee602513e
Dataset
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