Research Data Leeds Repository

Citation

Winder, Robin and Khodaparast, Sepideh and Bayly, Andrew and McRobbie, Ian and Rappolt, Michael and Harbottle, David (2025) Data set associated with "Versatile High Temperature Heating System for Drying Droplets in the TinyLev Acoustic Levitator". University of Leeds. [Dataset] https://doi.org/10.5518/1769

Dataset description

This dataset is part of the publication that describes the design and implementation of a heating unit for a TinyLev acoustic levitator. It contains the raw data for the figures showing, temperature and humidity change in the levitator, heat loss of the heaters in the levitator, schlieren imaging of the heaters, temperature ramps and voltage currents for each temperature the stability of the droplets at varying temperatures, drying curves and rates for water droplets and the XRD of a phase transition of the surfactant.

Keywords:	Levitator, heater, surfactant, drying, XRD
Subjects:	F000 - Physical sciences > F100 - Chemistry > F180 - Analytical chemistry
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemical and Process Engineering Faculty of Engineering and Physical Sciences > School of Food Science and Nutrition Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	23 Oct 2025 15:59
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1474
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Winder, Robin https://orcid.org/0009-0002-8746-4301 University of Leeds https://ror.org/024mrxd33 ror Khodaparast, Sepideh https://orcid.org/0000-0001-6273-9124 University of Leeds https://ror.org/024mrxd33 ror Bayly, Andrew https://orcid.org/0000-0001-6354-9015 University of Leeds https://ror.org/024mrxd33 ror McRobbie, Ian https://orcid.org/0009-0003-4380-6979 Innospec Ltd https://ror.org/03ar2j538 ror Rappolt, Michael https://orcid.org/0000-0001-9942-3035 University of Leeds https://ror.org/024mrxd33 ror Harbottle, David https://orcid.org/0000-0002-0169-517X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, Innospec Ltd Grant numbers: EP/S022473/1 Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: D.Harbottle@leeds.ac.uk Last Modified: 24 Oct 2025 08:06

Files

Documentation

Readme [3kB] Readme [3kB] Readme [3kB] Security: Anyone File name: readme_Winder-etal_2025.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Raw data for figures [1MB] Raw data for figures [1MB] Raw data for figures [1MB] Security: Anyone File name: Raw_data_for_DOI_1b-6b.xlsx Content type: Data Description: Excel of all raw data for figures Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

Unprocessed images [128MB] Unprocessed images [128MB] Unprocessed images [128MB] Security: Anyone File name: Raw_images_for_schlieren.zip Content type: Data Description: Unprocessed images for schlieren Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 128MB