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Particle simulation using the discrete element method in ROCKY
Beware of falling rocks! – Process optimization through discrete particle simulations.
ROCKY DEM is an ideal tool for the analysis of numerous mechanical engineering applications. It enables accurate predictions of particle behavior, taking into account the dynamic interaction between particles as well as between particles and component walls. It can be used to ...
Our offer in detail
This training is offered as a 2-day, consisting of 8 modules.
01 Introduction to ROCKY
- ROCKY operating concept
- Geometry handling and pre-processing
- Workshop: Transport chute (structure)
02 Simulation with the discrete element method
- The discrete element method: theoretical basics
- Solver settings and post-processing
- Workshop: Bulk material in a transport chute (simulation and evaluation)
03 Material calibration in the experiment
- Basic principle: calibration of parameters for bulk materials
- Workshop: Manual calibration of the repose angle on measured values
- Demo: Automated calibration with ANSYS DesignXplorer and optiSLang
04 Stipulated movement
- Introduction to ROCKY Motion Frames
- Workshop: Assembly of complex movements
- Introduction to grain size distribution
- Workshop: Simulating a screening process
05 Considering real particle shapes
- Predefined particle shapes/own particle shapes
- Best practice: spherical or non-spherical
- Workshop: Soil mechanics, experiment execution and simulation
06 Material treatment processes and particle kinematics
- Evaluation of the particle kinematics (trajectories and energy spectra)
- Demo: Machine wear due to bulk materials
- Workshop: Particle loads and wear using the screw grinding example
07 Evaluation of mixing and separating
- Introduction to statistical evaluation
- Evaluation of mixing behavior and hold time
- Workshop: Bin emptying
08 Advanced functions
- Best practice: Reduce computing time
- Demo: ROCKY-particular functions such as humidity simulation and elastic particles
- Demo: ROCKY cross-system functions such as FLUENT and mechanical coupling
ROCKY DEM is an ideal tool for the analysis of numerous mechanical engineering applications. It enables accurate predictions of particle behavior, taking into account the dynamic interaction between particles as well as between particles and component walls. It can be used to analyze impacts, energy absorption rates and particle breakage. Wherever large quantities of particles or more generally bodies are in motion or are set into motion, ROCKY can be used to understand and improve processes in a targeted manner. The size, shape, material and mutual interaction can be chosen from a wide spectrum in ROCKY. Typical application fields include, for example, bulk, transport, separation, mixing, sorting and processing operations.
Measures to optimize the transport process of bulk material, e.g. to minimize material losses or to avoid dust formation, can be reviewed here. Furthermore, the results provide key information for systematically improving plants, for example to increase the life of conveyor belts and other components. ROCKY DEM is used to optimize operations such as agitator mills, SAG mills, crushers and high-pressure grinding rolls. The particle spectrum ranges from small, synthetic particles like tablets to scree. In addition, production, transport and processing operations for components such as screws, washers, bottles etc. can be simulated.
Do you want to design or optimize machines for processing bulk materials or components, or better understand and optimize current processes? By simulating your process, you can gain valuable insights and optimize your processes in a targeted manner.
You will understand the basics of the discrete element method, learn how to use Rocky DEM, and discover how to carry out qualified assessments of your ROCKY simulation results. For quick and efficient handling, you will receive an introduction to the operating concept including helpful practical tips. This includes the issue of obtaining material properties, the required physical trials and the methodology of comparing simulation and trial. Backgrounds and exercises on advanced tasks such as the definition of particle shapes enable you to develop meaningful and high-performance solutions. Solution setup tips, such as using GPUs, ensure that you achieve the best possible computational performance.
PhD Ingénierie mécanique Mickaël Gay
Dr.-Ing. Thomas Köllner
Do you have questions on the training?
Straight after you sign up, an automatic confirmation of receipt will be sent to the email addresses you provided. Once you have successfully verified the data you provided, you will receive your personalized sign-up confirmation, containing further information on seminar fees, the billing address, hotel recommendations, etc., by email within two to three working days.
As soon as the minimum number of attendees has been reached, you will receive a final training confirmation containing further information on how to get to the venue. We recommend that you wait until you have received this final confirmation before booking your travel and accommodation.
If the minimum number of attendees is not reached, we reserve the right to cancel the training seven days before it is due to start at the latest. We are happy to help you change your booking to an alternative date. Please note that we accept no liability for hotel or travel bookings that attendees have already made.
Usually the training courses start at 9:00 am and end at 5:00 pm of the respective local time. The actual course times will be stated in the booking confirmation. Please note that, depending on the training host, there may be a possible time shift between your and the provider's local time. Therefore all local times are provided with the valid time shift to Greenwich Mean Time (GMT).
The following time difference to GMT during summer/winter time applies to the individual training providers:
Dr. sc. Jörg Helfenstein
The right training, hardware and additional software products are the keys to success when it comes to a quick introduction to simulation.