A webGF-Mill image showing the motion of particles adjacent to a lifter bar. Particle colouring indicates particle diameter; red indicating large particles and blue indicating small particles
A webGF-Mill image showing the motion of rocks and steel balls in a section along the length of a grinding mill. Particle colouring indicates particle speed with red being the fastest moving particles and blue the slowest or stationary particles.
CSIRO has developed an Internet-based simulation tool that predicts the motion of particles inside grinding mills, providing insight into the way mills work and enabling huge energy savings from smarter, more energy efficient design.
webGF-Mill assesses the design and function of the grinding mills used at mines to crush ore.
"Improving mill design is important because of the amount of energy that mills use," says CSIRO mathematician Dave Morton. "Typically, grinding mills are very inefficient. An average mill around 10 metres in diameter consumes roughly the energy required to supply 10 000 average Australian households. Unfortunately, only 5% of this energy is consumed by the processes that actually break the rocks inside the mill."
Rosie Schmedding | CSIRO
Deep Learning predicts hematopoietic stem cell development
21.02.2017 | Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
Sensors embedded in sports equipment could provide real-time analytics to your smartphone
16.02.2017 | University of Illinois College of Engineering
In the field of nanoscience, an international team of physicists with participants from Konstanz has achieved a breakthrough in understanding heat transport
Cells need to repair damaged DNA in our genes to prevent the development of cancer and other diseases. Our cells therefore activate and send “repair-proteins”...
The Fraunhofer IWS Dresden and Technische Universität Dresden inaugurated their jointly operated Center for Additive Manufacturing Dresden (AMCD) with a festive ceremony on February 7, 2017. Scientists from various disciplines perform research on materials, additive manufacturing processes and innovative technologies, which build up components in a layer by layer process. This technology opens up new horizons for component design and combinations of functions. For example during fabrication, electrical conductors and sensors are already able to be additively manufactured into components. They provide information about stress conditions of a product during operation.
The 3D-printing technology, or additive manufacturing as it is often called, has long made the step out of scientific research laboratories into industrial...
Nature does amazing things with limited design materials. Grass, for example, can support its own weight, resist strong wind loads, and recover after being...
Nanometer-scale magnetic perforated grids could create new possibilities for computing. Together with international colleagues, scientists from the Helmholtz Zentrum Dresden-Rossendorf (HZDR) have shown how a cobalt grid can be reliably programmed at room temperature. In addition they discovered that for every hole ("antidot") three magnetic states can be configured. The results have been published in the journal "Scientific Reports".
Physicist Dr. Rantej Bali from the HZDR, together with scientists from Singapore and Australia, designed a special grid structure in a thin layer of cobalt in...
13.02.2017 | Event News
10.02.2017 | Event News
09.02.2017 | Event News
24.02.2017 | Life Sciences
24.02.2017 | Life Sciences
24.02.2017 | Trade Fair News