Post by Amanda Wills on Oct 6, 2011 9:37:36 GMT
This, the 4th International Computational Modelling Symposium (Computational Modelling '13) is organised by Minerals Engineering International (MEI).
Computational modelling is the use of fundamental physical equations to predict the behaviour of complex systems. Techniques include Discrete Element Modelling (DEM), Computational Fluid Dynamics (CFD) and Finite Element Methods (FEM). Due to rapid increases in computing power, it is now possible to carry out highly sophisticated and realistic simulations of scientific and engineering processes. Computational modelling has become an indispensable adjunct to the traditional modes of investigation via theory and experiment, and is increasingly viewed as ‘a peer methodology to experiment and theory’.
Computational modelling provides engineers with the ability to study systems in ways that are often not possible with experiments. This can be because of the difficulty in carrying out measurements within the systems, an inability to change the experimental input parameter independently or simply because of the cost involved in building an experimental system. In order to be able to use computational modelling in this way we need to have robust models that we trust and which can be solved efficiently.
In minerals engineering, the typically complex multi-phase nature of the systems makes modelling particularly challenging. This has resulted in a wide range of different techniques being applied, ranging from Computational Fluid Dynamic methods such as Finite Element, Finite Volume, Smooth Particle Hydrodynamics to particle methods such as Discrete Element Methods, as well as many others. Given the interactions that occur in minerals processing systems, an increasing area of study is in coupling different methods.
In order to have confidence in these models, they need to be verified against experimental results. This has led to a complementary development and use of more advanced measurement techniques such as various forms of tomography, particle tracking techniques such Particle Image Velocimetry and Positron Emission Particle Tracking and many others.
The aim of this conference is to bring together both users and developers of computational modelling from academia and industry to share their knowledge and expertise. This conference is aimed at the full spectrum of people involved in computational modelling in minerals processing and materials handling, from model development, validation and all the way through to application.
The specific areas include:
- Model development and computational techniques
- Modelling of minerals processing and materials handling unit operations
- Optimisation of plant and circuit operation and design
- Experimental validation including novel experimental techniques
Call for Papers
Papers are invited for presentation at Computational Modelling '13. All papers must be written and presented in English, the official language of the conference.
Abstract Submission
Short abstracts, of no more than 150 words, should be sent to Dr. Barry Wills by email (bwills@min-eng.com) by the end of December 2012.
Draft Papers
If accepted, draft papers will be required. These will form the unrefereed Proceedings, which will be available to delegates on a CD-ROM at the conference. Copyright on these papers belongs to the individual authors, and not to MEI.
Final Papers
Final papers should be submitted no later than one month after the end of the conference. Authors have two options:
1. Submission to Minerals Engineering, the world's number 1 journal in mineral processing and extractive metallurgy, with the highest impact factor, and rated a maximum A* by the Australian Research Council. These will be refereed, and, if accepted, published in a special Computational Modelling issue of the journal. Corresponding authors will receive one complimentary copy of this special issue. All other delegates may purchase the special issue from Elsevier Science Ltd at a discounted rate.
2. Submission to the Journal of the Southern African Institute of Mining and Metallurgy (SAIMM). The Journal is a recognized Department of Higher Education and Training accredited journal, with ABC accreditation by the Audit Bureau of Circulation of South Africa. The content of the Journal comprises Transactional and Journal papers. Transactional papers are of a very technical nature and are subject to stringent reviewing procedures while journal papers are of a more general and practical nature and go through a less severe reviewing process. Papers can be sent to the SAIMM publications coordinator, Caron Lance at caron@saimm.co.za.
More info: www.min-eng.com/modelling13/
Venue: www.min-eng.com/modelling13/venue.html
Programme: www.min-eng.com/modelling13/prog.html
Registration: www.min-eng.com/modelling13/reg.html
Exhibition: www.min-eng.com/modelling13/exhibit.html
Sponsorship: www.min-eng.com/modelling13/spons.html
Computational modelling is the use of fundamental physical equations to predict the behaviour of complex systems. Techniques include Discrete Element Modelling (DEM), Computational Fluid Dynamics (CFD) and Finite Element Methods (FEM). Due to rapid increases in computing power, it is now possible to carry out highly sophisticated and realistic simulations of scientific and engineering processes. Computational modelling has become an indispensable adjunct to the traditional modes of investigation via theory and experiment, and is increasingly viewed as ‘a peer methodology to experiment and theory’.
Computational modelling provides engineers with the ability to study systems in ways that are often not possible with experiments. This can be because of the difficulty in carrying out measurements within the systems, an inability to change the experimental input parameter independently or simply because of the cost involved in building an experimental system. In order to be able to use computational modelling in this way we need to have robust models that we trust and which can be solved efficiently.
In minerals engineering, the typically complex multi-phase nature of the systems makes modelling particularly challenging. This has resulted in a wide range of different techniques being applied, ranging from Computational Fluid Dynamic methods such as Finite Element, Finite Volume, Smooth Particle Hydrodynamics to particle methods such as Discrete Element Methods, as well as many others. Given the interactions that occur in minerals processing systems, an increasing area of study is in coupling different methods.
In order to have confidence in these models, they need to be verified against experimental results. This has led to a complementary development and use of more advanced measurement techniques such as various forms of tomography, particle tracking techniques such Particle Image Velocimetry and Positron Emission Particle Tracking and many others.
The aim of this conference is to bring together both users and developers of computational modelling from academia and industry to share their knowledge and expertise. This conference is aimed at the full spectrum of people involved in computational modelling in minerals processing and materials handling, from model development, validation and all the way through to application.
The specific areas include:
- Model development and computational techniques
- Modelling of minerals processing and materials handling unit operations
- Optimisation of plant and circuit operation and design
- Experimental validation including novel experimental techniques
Call for Papers
Papers are invited for presentation at Computational Modelling '13. All papers must be written and presented in English, the official language of the conference.
Abstract Submission
Short abstracts, of no more than 150 words, should be sent to Dr. Barry Wills by email (bwills@min-eng.com) by the end of December 2012.
Draft Papers
If accepted, draft papers will be required. These will form the unrefereed Proceedings, which will be available to delegates on a CD-ROM at the conference. Copyright on these papers belongs to the individual authors, and not to MEI.
Final Papers
Final papers should be submitted no later than one month after the end of the conference. Authors have two options:
1. Submission to Minerals Engineering, the world's number 1 journal in mineral processing and extractive metallurgy, with the highest impact factor, and rated a maximum A* by the Australian Research Council. These will be refereed, and, if accepted, published in a special Computational Modelling issue of the journal. Corresponding authors will receive one complimentary copy of this special issue. All other delegates may purchase the special issue from Elsevier Science Ltd at a discounted rate.
2. Submission to the Journal of the Southern African Institute of Mining and Metallurgy (SAIMM). The Journal is a recognized Department of Higher Education and Training accredited journal, with ABC accreditation by the Audit Bureau of Circulation of South Africa. The content of the Journal comprises Transactional and Journal papers. Transactional papers are of a very technical nature and are subject to stringent reviewing procedures while journal papers are of a more general and practical nature and go through a less severe reviewing process. Papers can be sent to the SAIMM publications coordinator, Caron Lance at caron@saimm.co.za.
More info: www.min-eng.com/modelling13/
Venue: www.min-eng.com/modelling13/venue.html
Programme: www.min-eng.com/modelling13/prog.html
Registration: www.min-eng.com/modelling13/reg.html
Exhibition: www.min-eng.com/modelling13/exhibit.html
Sponsorship: www.min-eng.com/modelling13/spons.html