Discrete Element Method (DEM): Day One - Theory
Course Information
The majority of all products sold worldwide either are particles, or involve particles at some stage of production. In contrast to fluids, theoretical understanding of particulate systems is at an early stage and difficult to predict, largely due to the distribution of many properties (size, shape, cohesivity etc.) throughout the powder population. The Discrete Element Method (DEM) is the primary modelling approach to enable prediction of how particles behave in a certain processing situation. DEM enables investigation into the influence of material properties and processing conditions on the process outcome and can provide valuable insights to enable manufacturers to make informed decisions about process and formulation optimisation.
In this course you will be introduced to the underlying theory and practical considerations of DEM on Day 1, including fundamental governing principles; models to account for elasticity, plasticity and cohesion; how to calibrate particle properties; and utilisation of AI and machine learning.
No prior knowledge of DEM/particle simulation methods is required.
No previous programming experience is required.
If you just want to learn the theory, then you could attend just Day One, however, if you are unfamiliar with EDEM software, then you could opt to attend both the theory (Day One) and practical (Day Two) elements of the course: Scroll to the bottom of the page for access to both days of the course
There is a 50% discount available for PhD Students, please contact llahub@newcastle.ac.uk with evidence and we will provide you with the discount code to complete your registration
For more information on this course, please contact llahub@newcastle.ac.uk or enquire here
Book this course
To register
Sign inFor more information
Learning Outcomes
Understanding of the fundamentals of DEM and how to calibrate material properties (Day 1)
Course Agenda
Day 1: Introduction to granular materials and DEM fundamentals, contact models, material calibration, utilising AI/machine learning.
Course Dates
Course Start Date: Tuesday, September 16, 2025 9:00 AM
Course End Date : Tuesday, September 16, 2025 5:00 PM
Enrolment Dates
Enrolment Start Date: Tuesday, August 12, 2025 8:00 AM
Enrolment End Date : Tuesday, September 9, 2025 11:30 PM
Course Location
Newcastle University
Course Tutor/s
Colin Hare
Course Delivery Type
Face to Face 
Book This Course
To register
Sign inCourse Fees
Price per attendee is £400.00 (zero VAT)