Experimental data on pellet-sinter mixtures in draw down tests

DOI:10.4121/2daf34e0-5858-4eab-a891-ceea28e55f5f.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/2daf34e0-5858-4eab-a891-ceea28e55f5f
Datacite citation style:
Hadi, Ahmed; Pang, Yusong; Schott, Dingena (2025): Experimental data on pellet-sinter mixtures in draw down tests. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2daf34e0-5858-4eab-a891-ceea28e55f5f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains experimental measurements of pellet-sinter mixtures in the draw-down test, which was conducted to investigate the flow and segregation behaviour of multi-component granular systems. The study examines the effect of varying pellet-sinter mass ratios (50:50, 75:25, and 25:75) and layering order (standard and reverse layering) on key performance indicators (KPIs), including mass flow rate, angle of repose, shear angle, and segregation.


Methodology:

The experiments were performed using a custom-built draw-down test setup, where a controlled discharge mechanism was used to release the granular mixture from the top box (hopper) into the lower box. Load cells were used to measure the mass flow rate as well as the discharged mass into the lower box, while digital image analysis techniques were applied to measure segregation in both horizontal and vertical directions. The angle of repose and shear angle were determined by taking photos at the end of the experiments and applying image processing techniques.


Techniques Used:

• Granular material handling: Controlled experiments on pellet-sinter mixtures.

• Image analysis: Post-processing using colour thresholding for segregation quantification.

• Load cells: Measurement of mass flow rate as well as the discharged mass into the lower box.

• Statistical analysis: Data processing and calculations of confidence intervals.


This dataset provides a valuable resource for researchers in the field of granular materials, discrete element modelling (DEM) validation, and industrial bulk material handling applications. The data can be used to reproduce the findings, validate numerical simulations, and explore further aspects of granular segregation and flow dynamics.


History

  • 2025-02-06 first online, published, posted

Publisher

4TU.ResearchData

Format

image/png, image/jpeg, text/plain (.txt), video/quicktime (.mov)

Funding

  • This research was carried out under project number T18019 in the framework of the Research Program of the Materials innovation institute (M2i) (www.m2i.nl) supported by the Dutch government. (grant code T18019) [more info...] M2i

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Maritime and Transportation Technology

DATA - under embargo

The files in this dataset are under embargo until 2025-03-30.

Reason

Publishing the dataset needs to be approved by the project partners.