The Discrete Element Method

A Practical Guide

Kit Windows-Yule, Andrei-Leonard Nicusan (Autoren)

Buch | Hardcover

400 Seiten

2027
Blackwell Verlag GmbH
978-3-527-35449-8 (ISBN)

Autor

Kit Windows-Yule is a Turing Fellow, a Royal Society Industry Fellow, a two-time Royal Academy of Engineering Industrial Fellow, an Innovate UK BridgeAI Independent Scientific Advisor, and Associate Professor of Chemical Engineering at the University of Birmingham. He has extensive experience applying the Discrete Element Method to a wide range of industrial applications through >£1M of funded projects with companies spanning 8 industrial sectors, in addition to >£3M in DEM-focused grant funding from EPSRC, the Royal Academy of Engineering, the Royal Society, Innovate UK and other sources. Following the establishment of a detailed Best Practice for the calibration of DEM simulations through his work as an IFPRI consultant, he is currently working with ASTM International to develop the world?s first official Standard relating to DEM. Andrei Leonard Nicusan is a doctoral researcher at the University of Birmingham focusing on data-driven engineering across scales; he published featured articles and Scientific Highlights on machine learning-based algorithms and applications for industrial use. He actively develops open-source libraries in over 10 programming languages, including the PEPT library, which was adopted worldwide, ACCES, an evolutionary calibration and optimisation framework and M2E3D, for data-driven correlation discovery. His frameworks are actively being used in projects with companies such as AstraZeneca, GlaxoSmithKline, Unilever, Mondelez, JDE, GranuTools. He led the International Fine Particle Research Institute?s industry-spanning DEM calibration study, co-producing a detailed industrial Best Practice for DEM and is currently working on the first ASTM Standard for DEM calibration alongside Dr. Kit Windows-Yule.

Inhalt

1. General introduction to DEM

PART 1 -
The Fundamentals of DEM
2. Hard sphere and soft sphere models
3. Updating particle positions and velocities
4. Integration methods
5. Contact detection
6. Contact modelling
7. Geometry creation
8. Interactive examples, exercises and questions

PART 2 -
The Practicalities of DEM
9. Choosing a sensible timestep
10. Adaptive timestepping
11. ?Softening? particles
12. Parameter selection
13. Modelling large systems
14. Interactive examples

PART 3 -
Post-processing and data-analysis
15. Visualising DEM simulations
16. Extracting quantitative data
17. Validating results
18. Interactive examples

PART 4 -
Advanced topics
19. Beyond the hard-sphere and soft sphere models
20. Multiscale modelling
21. Coupling with computational fluid dynamics (CFD)
22. DEM, ML, and AI
23. Process Optimisation using DEM
24. Interactive examples

Produkt-Details

• Erscheint lt. Verlag: 12.5.2027
• Verlagsort: Berlin
• Sprache: englisch
• Maße: 170 x 244 mm
• Themenwelt: Naturwissenschaften ► Chemie
• ISBN-10: 3-527-35449-2 / 3527354492
• ISBN-13: 978-3-527-35449-8 / 9783527354498
• Zustand: Neuware