Published December 4, 2024 | Version v1

Inkjet Droplets Contours

Authors/Creators

  • 1. ROR icon International Center for Numerical Methods in Engineering
  • 1. Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE)
  • 2. ROR icon Universitat Politècnica de Catalunya
  • 3. ROR icon International Center for Numerical Methods in Engineering

Description

This dataset provides a structured representation of droplet shapes generated in drop-on-demand (DoD) inkjet experiments, enabling quantitative analysis and data-driven modeling of droplet formation processes.

It consists of two main files:

  1. HDF5 File: Contour-Based Representation

The HDF5 file contains the extracted contours of droplet boundaries, obtained from high-speed images available in the companion dataset (DOI: 10.5281/zenodo.13862494). Each group in the HDF5 file corresponds to a single experimental case (image). For each group:

    • The input parameters (inkjet trigger signal characteristics) are stored as attributes.
    • The droplet contour(s) are stored as arrays of 2D points representing the boundary.
    • A parametrized representation of the contour is provided using Elliptic Fourier Descriptors (EFDs).
  1. CSV File: Tabular Parametric Dataset

    The CSV file contains a tabulated dataset of 274,911 samples, where each row corresponds to one experimental case.  Columns include:

    • Trigger signal parameters (input variables)
    • Elliptic Fourier Descriptors (EFDs) representing droplet morphology

This file is particularly suited for statistical analysis, regression, and machine learning applications, providing a compact, low-dimensional representation of droplet shapes.

Data Processing and Tools:

Licence:

This dataset is licensed under CC BY-NC-SA for non-commercial use.
If you modify or adapt the dataset, you must share the modified version under the same license (CC BY-NC-SA) and credit the original source.
For commercial use, a separate license is required—please contact droplets@cimne.upc.edu for details.

 

Files

Contours.csv

Files (2.0 GB)

Name Size
md5:0aa2c10790ff1072974ad6db4df079e7
433.7 MB Preview Download
md5:a4e2dde51ded3a6cb4ebfcb7afb11868
1.6 GB Download

Additional details

Funding

Agencia Estatal de Investigación
Towards establishing a Digital twin for manufacturing via drop-on-demand inkjet printing, Proyectos Estratégicos Orientados a la Transición Ecológica a la Transición Digital 2022–2024 TED2021-130471B-I00
Agencia Estatal de Investigación
DEsign-supporting Computational framework for modelIng Coupled Mircorfluidics in Advanced manufacturing. PID2022-137472OB-I00

Dates

Created
2024-12-04

Software

Repository URL
https://github.com/playpaolo/InkJetDroplet
Programming language
Python
Development Status
Active