Development of eco-friendly ironmaking processes based on GPU-enhanced DEM-CFD modelling

Project Information

DECRON

Grant agreement ID: 747963

DOI 10.3030/747963

Project closed

EC signature date 17 March 2017

Start date 1 December 2017

End date 5 December 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 195 454,80

EU contribution € 195 454,80

Coordinated by

UNIVERSITY OF SURREY
United Kingdom

Publications

Peer reviewed articles (4)

Hopper flow of irregularly shaped particles (non-convex polyhedra): GPU-based DEM simulation and experimental validation

Author(s): Nicolin Govender, Daniel N. Wilke, Chuan-Yu Wu, Johannes Khinast, Patrick Pizette, Wenjie Xu
Published in: Chemical Engineering Science, Issue 188, 2018, Page(s) 34-51, ISSN 0009-2509
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ces.2018.05.011

Effect of particle shape in grinding mills using a GPU based DEM code

Author(s): Nicolin Govender, Raj Rajamani, Daniel N. Wilke, Chuan-Yu Wu, Johannes Khinast, Benjamin J. Glasser
Published in: Minerals Engineering, Issue 129, 2018, Page(s) 71-84, ISSN 0892-6875
Publisher: Elsevier BV
DOI: 10.1016/j.mineng.2018.09.019

A numerical investigation into the effect of angular particle shape on blast furnace burden topography and percolation using a GPU solved discrete element model

Author(s): Nicolin Govender, Daniel N. Wilke, Chuan-Yu Wu, Ugur Tuzun, Hermann Kureck
Published in: Chemical Engineering Science, Issue 204, 2019, Page(s) 9-26, ISSN 0009-2509
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ces.2019.03.077

Large-scale GPU based DEM modeling of mixing using irregularly shaped particles

Author(s): Nicolin Govender, Daniel N. Wilke, Chuan-Yu Wu, Raj Rajamani, Johannes Khinast, Benjamin J. Glasser
Published in: Advanced Powder Technology, Issue 29/10, 2018, Page(s) 2476-2490, ISSN 0921-8831
Publisher: Elsevier BV
DOI: 10.1016/j.apt.2018.06.028