Discrete Element Method for Engineering by Michael Rackl (Hardback)

£110.00
Out of stock
Product Ref. (e.g. ISBN, SKU)
9783527347131
Published:
26 May 2021
Format:
Hardback
Number of pages:
250 pages
Dimensions:
244x170mm
Weight:
0.000kgs
Author:
Intended as an introduction and reference for industrial application of the DEM. One major topic is to provide insights into gold standards and best practices with regard to DEM modeling of bulk materials. The book covers the most important theoretical aspects of the DEM, puts them into perspective of common modeling approaches and sets out to assist practitioners with educated decision-making in day-to-day DEM simulations. Another major topic is consolidation of DEM, bulk solid test setups and measurement data for calibration purposes. Calibration is a core aspect of industrial DEM usage, but many users are uncertain how to choose a test, how to deal with measurement data, which implications follow from simplifications made and how to obtain a satisfactory DEM parameter set.
This book is intended as an introduction and reference for industrial application of the DEM. One major topic is to provide insights into gold standards and best practices with regard to DEM modeling of bulk materials. The book covers the most important theoretical aspects of the DEM, puts them into perspective of common modeling approaches and sets out to assist practitioners with educated decision-making in day-to-day DEM simulations. Another major topic is consolidation of DEM, bulk solid test setups and measurement data for calibration purposes. Calibration is a core aspect of industrial DEM usage, but many users are uncertain how to choose a test, how to deal with measurement data, which implications follow from simplifications made and how to obtain a satisfactory DEM parameter set. In the last part of the book, examples for typical applications are illustrated and the DEM modeling considerations are elucidated.
All examples in this book are modeled with the open-source DEM software LIGGGHTS, allowing readers to reproduce results and findings with a program that is widely used in industrial settings. The examples are using the publicly available LIGGGHTS-PUBLIC version.

About the Author: Dr. Rackl is author of multiple publications about DEM and bulk materials handling and presently employed as Pre-Sales Specialist at Autodesk. Furthermore, he is a self-employed Technical Seminar Facilitator, for e.g. LaTeX, free-hands drawing, Design of Experiments, as well as main developer of the DEcalioc calibration framework for LIGGGHTS. Dr. Arno Mayrhofer is the lead developer of the DEM code LIGGGHTS and joined DCS Computing in 2016 where he is now working as a scientific consultant working both on publicly-funded research projects as well as industrial research and applications with DCS' customers. His research on DEM and CFD has been published in renowned journals and was presented in several international conferences. Dr. Kloss is co-founder and core developer of the "CFDEMproject", where he is the project manager of the open source DEM code LIGGGHTS. He also co-founded DCS Computing in January 2012, which is now a leading company in providing simulation software, products and services in the field of DEM and CFD-DEM simulations for a variety of industries. He also co-founded CFDEMresearch in 2015, a research institution which backs CFDEMproject with fundamental research activities. Dr. Kloss is currently holding the position as director of both DCS Computing and CFDEMresearch. Dr. Christoph Goniva is co-founder and core developer of the "CFDEMproject", where he is the project manager of the open source DEM code LIGGGHTS. He also co-founded DCS Computing in January 2012, which is now a leading company in providing simulation software, products and services in the field of DEM and CFD-DEM simulations for a variety of industries. He also co-founded CFDEMresearch in 2015, a research institution which backs CFDEMproject with fundamental research activities. Dr. Kloss is currently holding the position as director of both DCS Computing and CFDEMresearch.

More Information
Number of pages 250

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