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Grant
Agency: Cordis | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-ITN-2008 | Award Amount: 3.24M | Year: 2009

The overarching aim of the PARDEM project is to provide high quality training to a group of young researchers to work within and to further develop the multidisciplinary field of DEM computational simulation of granular processes. Granular materials are estimated to constitute over 75% of all raw material feedstock to industry. They also present many challenges for innovation and fundamental science to solve problems in areas as diverse as natural disasters and industrial material handling which incur extensive economic losses. The Discrete Element Method (DEM) is a promising supradisciplinary facility providing both visual and quantitative details of the dynamics of particle assemblies. Although the method is established in academia, immature quantitative prediction capabilities and lack of DEM experts due to its rapid development hinder its use as an industrial engineering tool in Europe. To overcome this state a consortium of 6 industry and 5 academic partners is formed which engages the three key stakeholder groups (industrial users, DEM software developers and universities), vital for transforming DEM from a largely scientific tool into a widely adopted industrial tool and delivering increased competitiveness to the EU economy with significantly reduced development times of more efficient processes. The programme will provide for each fellow: a) in-depth training by research at the host site and on industrial secondments; b) sound multidisciplinary and intersectoral scientific training and understanding of industrial environments via courses and secondments; c) a programme of complementary skills training and network events to develop the researchers competencies and career options. The resulting new generation of DEM experts will speak a common language avoiding costly misunderstandings in commercial interactions of the three groups and drive the DEM technology to a level which will change the way equipment and granular processes are designed in EUROPE.


Grant
Agency: Cordis | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2013-ITN | Award Amount: 4.05M | Year: 2014

Dry, wet and multiphase particulate materials constitute over 75% of raw material feedstock to industry. Despite their significance, many industrial particulate processes display unpredictable behaviour due to both their multiscale nature and the coexistence of different phases: this leads to undesirable losses in resources, energy, money and time. Considerable progress can be achieved using multiscale analysis and modelling to provide both visual and quantitative details of the dynamics of multiphase particulate systems. However, immature predictive capabilities, together with a lack of expertise and education in this developing field, hinder the adoption of these technologies. To address this skills gap and to initiate further advances in the field, it is crucial that a coordinated and intersectoral approach (combining different industrial sectors and fields of science) is taken, broadening the portfolio of skills currently retained within the EU research community. The T-MAPPP network brings together 15 leading European organizations in their respective fields, including 10 industrial companies (4 of which are SMEs) and stakeholders ranging from agriculture/food processing, consumer/personal care, chemicals/pharmaceuticals to software and equipment manufacture, to foster and develop a pool of ESRs and ERs who can transform multiscale analysis and modelling from an exciting scientific tool into a widely adopted industrial method. Through the delivery of sound scientific training and exposure to both Academic and Industrial environments, each of the 15 fellows recruited will be equipped with the multidisciplinary and transferable skills needed not only to initiate further advances in the field, but to become future leaders in Multiscale Analysis (MA) of multiphase Particulate Processes (PPP) and systems. Such skills are Europe-wide in demand, making each fellow a highly desirable candidate for employment and very mobile across the different career domains.


Powell M.S.,University of Queensland | Weerasekara N.S.,University of Queensland | Cole S.,DEM Solutions | Laroche R.D.,DEM Solutions | Favier J.,DEM Solutions
Minerals Engineering | Year: 2011

Wear of grinding mill liners and lifters plays a major role in the overall efficiency and economics of mineral processing. Change in the shape of lifters as they wear has a significant influence on grinding efficiency, and the annual cost of maintenance and mill down-time depends on the life of both liners and lifters. The Discrete Element Method (DEM) is a computational method for simulating the dynamics of particle processes. This paper presents an analysis of 3D simulation of a grinding mill carried out using the EDEM software package customised to predict the rate of wear of lifter geometry and to enable progressive updating of worn lifter geometry profiles. A simplified breakage rate model is developed as a tool to correlate liner profile to mill performance. The combination of the prediction of liner profile and grinding rate shows promise to provide a powerful tool for advanced mill liner design - providing a means to balance liner life and mill performance over the life of the liner at the liner design stage. © 2011 Elsevier Ltd. All rights reserved.


One embodiment of the invention provides a computer-implemented method for discrete element modelling of a plurality of discrete elements corresponding to particles and physical geometry elements. The modelling performs a simulation through time of physical interactions of the particles with each other and with the physical geometry elements in a three-dimensional space. The method comprises providing a plurality of discrete element material models, each discrete element material model corresponding to a respective bulk material and containing (i) information regarding the properties of particles within said bulk material, and (ii) information regarding the behaviour of interactions between such particles. The method further comprises receiving from a user: (i) a selection of a bulk material for use in a simulation, and (ii) a specification of properties associated with the selected bulk material. The method further comprises generating a set of particles of the selected bulk material for use in the simulation based on (i) the discrete element material model for the selected bulk material, and (ii) the properties of the bulk material specified by the user. The method further comprises performing a discrete element model simulation on said set of particles, wherein the simulation uses the information regarding the behaviour of interactions between particles from the discrete element material model for the selected bulk material.


One embodiment of the invention provides a computer-implemented method for discrete element modelling of a plurality of discrete elements corresponding to particles and physical geometry elements. The modelling performs a simulation through time of physical interactions of the particles with each other and with the physical geometry elements in a three-dimensional space. The method comprises providing a virtual geometry object comprising a user-defined shape. The virtual geometry object does not undergo physical interaction with the particles or physical geometry elements during the simulation. The method further comprises receiving user-defined parameters for determining the position, orientation and any movement of the virtual geometry object with respect to the three-dimensional space. The method further comprises locating the virtual geometry object in the three-dimensional space during the simulation in accordance with the user-defined parameters and identifying the particles, physical geometry elements and/or physical interactions having a particular relationship with respect to the virtual geometry object. The identified elements can then be analysed by the user, for example to determine the number of particles located at a given time within a specific region of the simulation space (as defined by the virtual geometry object).


A method is described for discrete element modelling and for performing a three-dimensional simulation through time of a plurality of discrete elements corresponding to particles and physical geometry elements. The method can comprise the following operations: providing a virtual geometry object comprising a user-defined shape (the virtual geometry object does not undergo physical interaction with the particles or physical geometry elements during the simulation); receiving user-defined parameters for determining the position, orientation and any movement of the virtual geometry object with respect to the three-dimensional space; locating the virtual geometry object in the three-dimensional space during the simulation in accordance with the user-defined parameters; and/or identifying the particles, physical geometry elements and/or physical interactions having a particular relationship with respect to the virtual geometry object. The identified elements can then be analysed by the user.


Computer-implemented methods and systems are described for discrete element modelling of a plurality of discrete elements corresponding to particles and physical geometry elements. The disclosed embodiments provide a plurality of discrete element material models, each discrete element material model corresponding to a respective bulk material and containing (i) information regarding the properties of particles within said bulk material, and (ii) information regarding the behaviour of interactions between such particles. The following information can be received from a user: a selection of a bulk material for use in a simulation, and a specification of properties associated with the selected bulk material. The disclosed embodiments can perform a discrete element model simulation on a set of particles, wherein the simulation uses the information regarding the behaviour of interactions between particles from the discrete element material model for a user-selected bulk material.


Grant
Agency: Cordis | Branch: FP7 | Program: CP-FP | Phase: NMP.2013.1.4-1 | Award Amount: 4.22M | Year: 2014

Accurate design and modeling of nano-enabled systems requires a multi-scale simulation approach that can link phenomena on the nano-, micro-, meso-, and macroscales. Numerous simulation methods and tools are available for describing a material accurately and efficiently on each of the scales separately. In addition, several approaches for linking and coupling various hierarchal scales are also available. However, an integrated multi-scale simulation framework that allows a seamless and efficient coupling of various scales and methods is still lacking. The main goal of the present consortium is to develop an integrated multi-scale modeling environment for nano-materials and system design. The tools will be formed mainly by augmenting existing open-source and commercial simulation tools and supplementing them with sophisticated interface libraries that allow flow of information from one component to the other and from one scale to another. The simulation environment will also act as a platform for harmonizing and accelerating the development of new simulation modules by providing interface libraries to powerful pre- and postprocessing tools and to computational modules, which can be integrated and readily reused in new applications. The efficiency of the new developed simulation environment specifically for shortening the development process and time to discover novel nano-enabled products will be demonstrated through a proof-of-concept design of novel simulation tools for micro- and nanofluidic devices.


Trademark
DEM Solutions | Date: 2016-06-13

Scientific, nautical, surveying, photographic, cinematographic, optical, weighing, measuring, signalling, supervision, life-saving and teaching apparatus and instruments; apparatus and instruments for conducting, switching, transforming, accumulating, regulating or controlling electricity; apparatus for recording, transmission or reproduction of sound or images; magnetic data carriers, recording discs; mechanisms for coin operated apparatus; cash registers; calculating machines, data processing equipment and computers; fire-extinguishing apparatus; recorded media, computer hardware and firmware; computer software; software downloadable from the internet; downloadable electronic publications; compact discs; downloadable digital music; telecommunications apparatus; mouse mats; mobile phone accessories; contact lenses, spectacles and sunglasses; clothing for protection against injury, accident, irradiation or fire; furniture adapted for laboratory use. Paper, cardboard, announcement cards stationery; bags of paper for packaging; bookends; booklets; bookmarkers; books; bottle envelopes of cardboard or paper; bottle wrappers for cardboard or paper; boxes of cardboard or paper; calendars; drawing pads; index card stationery; labels (made of paper or cardboard); pamphlets; paper sheets stationery; postcards, posters; writing or drawing book; printed matter; book binding material; photographs; stationery; adhesives for stationery or household purposes; artists materials; paint brushes; typewriters packaging materials; printers type; printing blocks; printed publications; paint boxes for children; cheque book holders. Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software; computer programming; installation, maintenance and repair of computer software; computer consultancy services; commissioned writing of computer programs, software and code for the creation of web pages on the Internet; creating, maintaining and hosting the web sites of others; design services.


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