Increasing Grinding Circuit Robustness with Advanced ... · Increasing Grinding Circuit Robustness...
Transcript of Increasing Grinding Circuit Robustness with Advanced ... · Increasing Grinding Circuit Robustness...
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Increasing Grinding Circuit Robustness with Advanced Process Control
A.Rantala, P.Blanz, K.Aberkrom, O.Haavisto
MetPlant 2015, 7-8 September, Perth
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Outline
• Introduction • Basic control of grinding • Key measurements • Advanced process control • Objectives of grinding optimisation • Case study examples • On-line mill charge measurement • Conclusions
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Introduction
• Grinding is often a bottleneck for plant capacity
• High running and energy costs
• Grinding affects the performance of downstream processing
• How to process more compex and lower head grade ores more efficiently?
• Optimization • Maximize profit €
• Control maintenance and production processes • Schedule resources • Reporting and transparency
MES
• Manipulate base level targets • Process models, Soft sensors • Multivariable control • Model based control
Advanced Process Control
• PID control • Ratio control • Sequences
Process Control
• Actuators (valves, pumps) • Measurements • Analyzers (XRF-analysis, Image
analysis, Particle size measurement) Instrumentation
• Crushing • Grinding • Flotation • Dewatering
Process and Process Equipment
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Basic control of a grinding circuit
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Key measurements
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Advanced Process Control (APC)
• Higher level control based on multiple inputs, process knowledge and multiple outputs (set-points)
• Expert control • Rule based control, easy to understand
• Model predictive control (MPC) • Uses process models to find optimal
control actions to reach targets
• Usabilitity is a key element (often forgotten) to gain operator trust and high utilization rates
• Potential for significant continuous improvement
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Objectives
• Maximize grinding capacity while keeping the particle size between optimal range
• Minimize disturbances and stabilize feed to downstream processing • Optimize circulating loads, manage variable interaction and delays • Minimize energy and consumable usage • Increase the availability of the grinding circuit and equipment
F80 14 mm
100
150
200
250
300
8 10 12 14 16 18 20 22 24
Work index kWh/t
Throu
ghpu
t t/h
F80 14 mm
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Modular APC template for grinding optimisation
• Basic framework for an APC application for a grinding circuit
• Process estimation module ensures the measurement validity and soft sensor and sensor fusion data
• Cyclone and particle size control modules typically stabilising and limiting
• Mill control often the master controller pushing the circuit within limits
• Operators to provide hard limits and targets*
*or plant optimiser
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Outline
• Introduction • Basic control of grinding • Key measurements • Advanced process control • Objectives of grinding optimisation • Case study examples • On-line mill charge measurement • Conclusions
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Case study 1: A SABC circuit
• Highly alternating ore hardness • Unexpected ore feed shutdowns and spillages • Particle size variance
• Proper particle size distribution important for the downstream processing
• Good level of instrumentation and basic control • Load cells in the mill • Particle size analyser
• APC control strategy was implemented based on the template
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Case study 1: Results of the on/off trial campaign
Result Standard deviation t-test (p)
SAG Feed (t/h) + 1.2 % - 44.5 % < 0.005
Particle Size (% -200 mesh) Process value deviation to target (P80: 80%)
- 83.7 % - 62.3% < 0.005
SAG Power (kW) - 8.3 % - 42.6 % < 0.005
Cyclone Feed Density (%) + 3.8 % - 61.2 % < 0.005
Cyclone Feed Flow (m3/h) - 2.5 % - 11.6 % < 0.005
Pump Box Level (%) + 33.2 % - 85.6 % < 0.005
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The effect of APC during softer ore feed
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The effect of APC during harder ore feed
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Case Study 2: an AG/Pebble mill circuit
• Low grade feed with alternating hardness
• Stability and dry flotation feed primary objectives • Proper combined particle size to flotation • Balancing AG/Pebble mill circulations • Allow operators focus on overall efficiency of
the plant
• High level of instrumentation and basic control ensure good basic process stability
• APC control strategy was implemented based on the template
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Case Study 2: Results of mill control module Result Standard deviation t-test (p)
Flotation dry feed (t/h) + 2.0 % + 19.0 % 0.04
Grinding circuit feed (t/h) + 0.3 % - 24.3 % 0.86*
AG Energy/ton milled (kW/t) + 1.3 % - 26.3 % 0.58*
Particle size (% -75 µm), Mill 1 Process value deviation from target (75 %)
+ 5 % - 7.6 % 0.68*
Particle size (% -75 µm), Mill 2 Process value deviation from target (75 %)
- 55.0 % + 34.0 % < 0.005
*not significant
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Case Study 3: On-line mill charge analysis
• Valuable control input for indicating the state and condition changes of a mill
• Charge volume has a great impact on
the grinding efficiency
• Estimation methods: • Mass indicators, e.g. bearing pressure,
load cells • Noise, aqoustic sensors • Power signal • Embedded probes, e.g. strain gauge • Model-based (soft sensors)
Charge volume (%)
Spe
ed(%
of c
ritic
al)
Inefficientimpacts
Optimum
Reduced impact area
Reduced impact area
Liner damage
Liner damage
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On-line mill charge measurement development
• Direct measurement of toe position with a strain gauge on the mill shell
• Wireless data transfer and inductive powering*
• Prototype testing on-going at three AG/SAG mills with rubber liners, a steel lined mill test to commence soon
*patents pending
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Correlation between mill variables and mill charge
6% mill charge variation
Mill feed and mill charge (AG mill)
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Conclusions
• Lower grade, more complex and changing ore feed increases the challenge of efficient grinding circuit operation
• APC can provide significant annual benefits through improved stability and more continuous operation at the circuit’s limits • Adequate level of instrumentation and tuned basic process control is a requirement for APC
performance
• The potential APC benefits demonstrated by two case studies indicate better control of particle size, improved throughput and energy efficiency
• On-line mill charge measurement development adds an essential variable to grinding circuit control
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Acknowledgements
Companies of the case studies are greatly acknowledged for their co-operation and permitting the data in this paper to be presented
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