The scope of IFAC Symposium on Automation in Mining, Mineral and Metal Industries encompasses all the subjects related to control and automation in the mining, mineral processing and metal extraction and processing

Objectives:

• Overview of the current status of control and automation
• Present and discuss the most recent results and breakthroughs in control and automation
• Discuss the future outlook and perspective for control and automation in mining, mineral and metal industries
• Exchange of knowledge and experience among control professionals in various fields

Scope:
General Scope

• Sustainability and Automation
• Effect of Automation in Society and Nature
• Environment, Health, Energy and Policy Issues

Specialized Scope - Principles, Technologies and Industrial Practice in

• Mining underground and above ground operations
• Mineral Processing (separation, flotation, crushing, grinding, enrichment etc.)
• Non-ferrous metal extraction and processing
  • Pyrometallurgy: smelting, converting, refining, casting
  • Hydrometallurgy: aqueous extraction and processing
  • Electrochemistry: extraction, processing and refining
• Iron and Steel
  • Iron ore preparation, flotation etc.
  • Iron making (Sintering, Pelletizing, Coking, Blast furnaces and Direct Reduction Plants operations)
  • Steel making (BOF, Ladle, etc.) and continuous casting
  • Hot/cold rolling, forming of metal and metallic materials
  • Casting, forging, welding, galvanizing, annealing,
• Heat Treatment of Metals
  • Case hardening engineering
  • Solid State processing
• Metal and Ceramic Protective Coating
• Metal Recycling Processes
  • Reactor Control
  • Environmental control
• Waste treatment
  • Urban wastes
  • Water
  • Dusts
• Power Generation
  • Reactors control and automation
  • Environmental control

Topics
Include but will not be limited to the following

• Measurement and instrumentation
• Process modeling, control and optimization
• Advanced process control
• Data mining and multivariate statistical analysis
• Sensors
• Fault diagnosis and process monitoring
• Artificial intelligence and machine learning systems
• Robotics, mechatronics and teleoperation
• Production and distribution planning
• Scheduling and statistics