Exploring 3D nano-scale printed ice analogues in Atmospheric Science (E3DP-IANAS)
Lead Research Organisation:
University of Manchester
Department Name: Earth Atmospheric and Env Sciences
Abstract
We propose to use state-of-the-art 3D printing facilities at the University of Manchester (UoM) to fabricate "analogue ice crystals", which resemble real ice crystals that grow naturally in Earth's atmosphere. We will refer to these analogues as "Nanoice" because they are made using a Nanoscribe(TM) 3D printer. During this discovery science project our aim is to (1) explore the use of Nanoice in calibrating the probes that are used to measure and quantify atmospheric ice crystals and (2) to determine whether the Nanoice can be used to quantify the single particle scattering properties of ice particles, which is key to reducing climate uncertainty. The single particle scattering properties of ice crystals are of fundamental importance to reducing the uncertainty of clouds on climate, yet they are notoriously difficult to measure due to the transient nature of real ice crystals.
In order to achieve these tasks we will first fabricate Nanoice particles of different sizes and shapes on glass slides to perform a calibration procedure for the cloud particle imager family of probes. These probes are used on the UK facility for airborne measurement (FAAM) research aircraft to quantify ice clouds; however, finding representative calibration particles is difficult. Secondly, we will explore measuring single particle scattering properties of Nanoice particles. This will require trapping single Nanoice particles inside an existing acoustic levitation device at the University of Manchester, illuminating the Nanoice particles with a laser, and measuring any scattered light. This latter activity will enable better understanding of the impact of ice particle shapes on climate.
In order to achieve these tasks we will first fabricate Nanoice particles of different sizes and shapes on glass slides to perform a calibration procedure for the cloud particle imager family of probes. These probes are used on the UK facility for airborne measurement (FAAM) research aircraft to quantify ice clouds; however, finding representative calibration particles is difficult. Secondly, we will explore measuring single particle scattering properties of Nanoice particles. This will require trapping single Nanoice particles inside an existing acoustic levitation device at the University of Manchester, illuminating the Nanoice particles with a laser, and measuring any scattered light. This latter activity will enable better understanding of the impact of ice particle shapes on climate.
Organisations
People |
ORCID iD |
| Paul Connolly (Principal Investigator) | |
| Rachel James (Researcher) |
| Description | We are in the process of writing up a paper on calibration of the CPI using 3d printed analogues. There have been some difficulties with the method as it is cutting edge, but we have found a way to produce them reliably and include them in the calibration. The calibration works, and therefore this objective has been met. This is a major progress. It hasn't proven possible to detach the 3D printed crystals from the slide and measure their scattering properties. This was an exploration objective, which we have attempted but it didn't work. Therefore the objective was met, but it wasn't possible to use the analogues as scatterers. |
| Exploitation Route | We are in the process of writing this up and will share software and paper with other users. |
| Sectors | Digital/Communication/Information Technologies (including Software) Environment |
| Title | Calibration software for the cloud particle imager |
| Description | This software is used to calibrate the sample volume of the cloud particle imager. It extracts images of calibration particles and makes it straightforward to cross-reference them to actual calibration particles. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | Too early to tell |
| URL | https://github.com/UoM-maul1609/CPI-3V-processing |
| Title | Data processing software for the Cloud Particle Imager probe. |
| Description | This is a collection of MATLAB programs / functions to process the raw data from the Cloud Particle Imager probe, which is being used on the BAe-146 aircraft. It was developed during the INUPIAQ project to enable analysis of data from the field phase, so is listed here. It is available for anyone to use under the GPL. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Open Source License? | Yes |
| Impact | New science can be done with this tool kit. Collaboration with international scientists. |
| URL | http://personalpages.manchester.ac.uk/staff/paul.connolly/research2/cpi/cpi01.html |