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Artificial Sphere Clusters Transported on a Conveyor Belt Simulated by a Discrete Element Method

<p>This data set comprises sphere clusters that model&nbsp;particles of construction and demolition waste consisting&nbsp;of brick and sand lime brick while they were&nbsp;transported&nbsp;on a conveyor belt. The motion behavior of the sphere clusters&nbsp;was obtained by a discrete element method (DEM) model of the&nbsp;small-scale optical belt sorter Tablesort.</p> <p>The files contain mid-points, radii, and classes of spheres that build sphere clusters, with each cluster modeling a<br> particle. Input images are generated by rendering the sphere clusters in the camera field of view&nbsp;of the simulated area-scan camera. The particles have diameters from 4 to 8 mm. The simulated mass flows were 70 g per s for sand-lime brick and 30 g per s for brick. The belt velocity is approximately 1.1 m per s. Data is recorded at 2000 fps and covers a simulated time period of 120 s.</p> <p>A detailed description of the DEM model can be found in</p> <ul> <li>Albert Bauer,&nbsp;Georg Maier, Marcel Reith-Braun, Harald Kruggel-Emden, Florian Pfaff, Robin Gruna, Uwe Hanebeck, Thomas L&auml;ngle,<br> <strong>Towards a Feed Material Adaptive Optical Belt Sorter: A Simulation Study Utilizing a DEM-CFD Approach</strong>, Powder Technology, October 2022.</li> </ul> <p>&nbsp;A thorough description of the Tablesort system can be found in</p> <ul> <li><em>Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas L&auml;ngle, Uwe D. Hanebeck, J&uuml;rgen Beyerer,</em><br> <strong>Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking</strong>,<br> Transactions on Industrial Electronics, February 2020.</li> <li>See also the <a href="https://www.iosb.fraunhofer.de/en/projects-and-products/inside-schuettgut.html">project website</a>.</li> </ul> <p>To this date, publications that used this data include</p> <ul> <li> <p><em>Marcel Reith-Braun, Albert Bauer, Maximilian Staab, Florian Pfaff, Georg Maier, Robin Gruna, Thomas L</em><em>&auml;</em><em>ngle, </em><em>J&uuml;</em><em>rgen Beyerer, Harald Kruggel-Emden</em><em>, and</em><em> Uwe D. Hanebeck,</em><br> <strong>GridSort: Image-based Optical Bulk Material Sorting Using Convolutional LSTMs</strong>,<br> <em>2</em><em>2nd</em><em> IFAC World Congress</em>, Yokohama, Japan, July 2023.</p> </li> </ul> <p>The used CSV format&nbsp;uses semicolons&nbsp;as&nbsp;separators. There is no header. The first three columns correspond to the x-, y-, and z-coordinate of each sphere in meters, with increasing x-coordinate in the transport direction. The fourth column contains the radii in meters, the fifth column the particle class (2&nbsp;for sand-lime brick&nbsp;and 1&nbsp;for brick), and the&nbsp;sixth column the particle ids to which the spheres belong. The file name encodes&nbsp;the simulated time in steps of 0.5 ms. Each file contains as many rows as spheres are visible in&nbsp;the respective time step. The field of view of the simulated camera is&nbsp;0.442 m - 0642 m in the x-direction and&nbsp;0.005 m - 0.145 m in the y-direction.</p> <p><strong>Acknowledgment</strong></p> <p>The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Climate Action on the basis of a resolution of the German Bundestag.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0