Scholarly record
MODELING OF GRANULATION PROCESS IN PLATE GRANULATOR USING DEM
Abstract
The granulation process is a common method of increasing the size of grains of the bulk materials. Doing so allows to create a relatively stable structures, among others to facilitate material transport and reducing generated dust. The granulation process, however, is quite complex one, especially due to the variety of materials undergoing granulation (for example energetic materials or fertilizers) and the sensitivity of the process input parameters. The article presents an innovative method for studying the granulation process, using DEM virtual modelling method. This method allows to represent the test material as a collection of spheres with given parameters, interacting with each other. The paper presents a method of building the model, description of adopted parameter dependences that allows to combine grains into larger agglomerates, boundary conditions and the results of simulation tests. Particular attention was paid to adopted simulation algorithm of granulation process, that is grains agglomeration under the influence of an appropriate binder (usually water). Simulational tests were compared to real experiment performed on a laboratory stand. The presented research method is an innovative approach to study the granulation process. So far, all research tests associated with granulation were performed on experimental installations or industrial plants. The use of computer modelling technique will significantly reduce the costs associated with the process start-up and gives a closer look on the mechanisms of non-pressurized granulation.
Publication Impact Profile
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
Citing literature
Number of times cited according to Crossref: 1
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

