Process Design

• Define the main treatment stages to reach a given objective
• Determine the forecasted material balance: each stream description
• Size the main equipment and define the settings
• Estimate the investment and operating costs
• Contribute to the technical and economical feasibility studies

Process Optimisation

• Increase the process capacity
• Improve the final product quality
• Consumption reduction: energy, water, reagents
• Evaluate and limit environmental impact
• Adapt the process to the raw material variability
• Increase reactivity, facing up to the market variations

Process Monitoring

• Control performance
• Plant surveys

Mineral industry for all types of minerals and ores

• Iron, base metals, sulfide and oxidized ores
• Precious metals, Diamonds
• Phosphate, potash
• Industrial minerals (kaolin, feldspar, carbonate, talc…)
• Building materials: aggregates, cement, plaster
• Uranium, coal

Other industries

• Industrial and urban waste management

A user-friendly interface focused on process engineers’ tools

• The flowsheet is easily drawn using a set of unit operation icons.
• A click on a stream gives access to:
  • The material flowrate, size distribution and composition;
  • The size distribution and washability curve.
• A click on a unit operation gives access to:
  • The unit size and settings, the mathematical model parameters;
  • The partition curve and the split curve.
• Tables permit display of global plant performances.

A library of unit operation mathematical models

• Crushing, grinding, attrition, fine grinding; Size classification, gravity and magnetic separation, flotation;
• Solid-liquid separation: settling, thickening, filtration ;
• Hydrometallurgy : leaching, CIP, CIL, precipitation, solvent extraction, electrowinning

Powerful algorithms and methodologies for:

• Process simulation;
• Equipment sizing;
• Equipment setting optimization;
• Capital cost estimation;
• Sensitivity analysis to evaluate process flexibility.

• Better knowledge of the process
  
  
• Reduction of pilot and industrial tests
  
  
• Identification of bottlenecks
  
  
• Fast evaluation of alternative configurations
  
  
• Evaluation and use of the process flexibility
  
  
• Increased recovery
  
  
• Consumption reduction: reagents, energy, water