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The Effect of Microwave Pre-Treatment of Ores on the Comminution Process Introduction Objective Microwave Heating Microwave Pre-Treatment of Ores Grinding Results Future Work Acknowledgements References Conor Maloney Supervisor: Prof. Kristian Waters McGill University – Department of Mining and Materials Engineering Bond Mill Test The Bond Work Index was established for the untreated ore; it was found to be 13.5 kWh/mt Samples were treated in a 3000 W 2.45 GHz microwave for 30, 60, and 90 seconds The samples were ground for 5 minutes and a full size analysis was performed to determine the most efficient exposure time A second Bond test was performed on the ore after being treated at 3000 W for 60 seconds The Bond Work Index of the treated ore was found to be 10.5 kWh/mt: a reduction of 22% Conclusions Figure 5: Percent cumulative passing vs. mesh size for ores at varying microwave exposure times Figure 6: The predicted reduction of the Bond work index vs. microwave exposure time Microwave pre-treatment reduces the energy input required in grinding to obtain a designated level of reduction Microwave pre-treatment shows diminishing returns after an optimal exposure time has been achieved Optimization of the microwave pre-treatment process is required before Vale would be able to utilize it in the size reduction of the Voisey’s Bay Eastern Deeps Massive Ore Optimize the microwave pre-treatment process Analyze the effect of microwave pre-treatment on the whole comminution process Test the effect of different microwave powers as well as the effect of utilizing a mono-modal microwave Vale for providing the ore samples The McGill Undergraduate Research in Engineering Program McGill Mineral Processing Group of the Department of Mining and Materials Engineering Pejman Nekoovaght for his assistance in the microwave laboratory Mineral processing is the process of separating valuable minerals from gangue The process is estimated to account for 6 percent of global energy consumption and is as little as 3 percent efficient [1] With the increased focus on environmentally friendly practices, the optimization of the comminution process is of vital importance Analyze the effect of microwave pre-treatment on the grindability of the Voisey’s Bay ore Optimize the pre-treatment process to produce the greatest reduction to the energy input during grinding Microwave radiation encompasses the range of the electro magnetic spectrum between 300 MHz and 300 GHz Microwave heating functions only for dielectric substances, where heat is generated primarily through the rotation of dipoles A dielectric substance is an electric insulator which is polarized in the presence of an electric field [2] Minerals show varying responses to microwave radiation Microwave heating of ores functions on the basis that valuable minerals are receptive to microwave radiation, while gangue minerals are transparent to their effect Microwave radiation causes differential heating within an ore body which leads to cracks forming along and across grain boundaries [3] Figure 1: 2.45 GHz 3000 W multi-modal microwave Figure 2: Scanning electron micrograph showing an untreated (a) sample as compared to microwave pre-treated sample (b) [4] Grinding, along with crushing, is the primary source of size reduction in mineral processing As the mill rotates the mechanical forces acting on the ore body overcome the bonding forces and cause a general reduction in grain size The size reduction is directly proportional to energy input by the mill: i.e. the ball charge, grind time Figure 3: An unground ore sample (a) as compared to a sample ground for 30 minutes (b) Figure 4: A standard laboratory Bond ball mill The Bond mill test was developed as a method to classify an ore based on the energy required to achieve a given size reduction The work index represents the energy required to reduce ore from infinite grain size to a predetermined passing size [5] The ore tested is Vale’s Voisey’s Bay Eastern Deeps Massive Ore; it is a nickel and copper ore composed primarily of chalcopyrite ( 2 ) and pentlandite([, ] 9 8 ) and contains traces of some other minerals a b Ore Type Cu [%] Ni [%] Fe [%] S[%] MgO[%] 2 [%] Co [%] Eastern Deeps Massive 1.3 ±0.06 3.4 ±0.13 54.7 ±0.9 35.3 ±0.7 0.1 ±0.02 0.8 ±0.1 0.19 ±0.01 Table 1: Voisey’sBay Assay Information [1] Kobusheshe, J. (2010) “Microwave Enhanced Processing of Ores”, PhD Thesis The University of Nottingham (UK). [2] dielectric. (2012). In Encyclopædia Britannica. Retrieved from http://www.britannica.com/EBchecked/topic/162630/dielectric [3] Jones, D.A, Kingman, S.W, Whittles, D.N, Lowndes, I.S. (2005). Materials Engineering, 18, 659-669. [4] Sahyoun,C. (2004) “The effect of microwave radiation on the liberation of minerals from ores”, PhD Thesis The University of Birmingham (UK). [5] Magdanilovic, D. (1989). International Journal of Mineral Processing, 27, 125-132. [6] Kingman, S.W., Rowson, N.A. (1998). Minerals Engineering, 11(11), 1081-1087.

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Page 1: The Effect of Microwave Pre-Treatment of Ores on the ... · The Effect of Microwave Pre-Treatment of Ores on the Comminution Process Introduction Objective Microwave Heating Microwave

The Effect of Microwave Pre-Treatment of Ores on the Comminution Process

Introduction

Objective

Microwave Heating

Microwave Pre-Treatment of Ores

Grinding Results

Future Work

Acknowledgements

References

Conor Maloney Supervisor: Prof. Kristian Waters McGill University – Department of Mining and Materials Engineering

Bond Mill Test

• The Bond Work Index was established for the untreated ore; it was found to be 13.5 kWh/mt • Samples were treated in a 3000 W 2.45 GHz microwave for 30, 60, and 90 seconds • The samples were ground for 5 minutes and a full size analysis was performed to determine the most efficient exposure time • A second Bond test was performed on the ore after being treated at 3000 W for 60 seconds • The Bond Work Index of the treated ore was found to be 10.5 kWh/mt: a reduction of 22%

Conclusions

Figure 5: Percent cumulative passing vs. mesh size for ores at varying microwave exposure times

Figure 6: The predicted reduction of the Bond work index vs. microwave exposure time

• Microwave pre-treatment reduces the energy input required in grinding to obtain a designated level of reduction

• Microwave pre-treatment shows diminishing returns after an optimal exposure time has been achieved • Optimization of the microwave pre-treatment process is required before Vale would be able to utilize it

in the size reduction of the Voisey’s Bay Eastern Deeps Massive Ore

• Optimize the microwave pre-treatment process • Analyze the effect of microwave pre-treatment on the whole comminution process • Test the effect of different microwave powers as well as the effect of utilizing a mono-modal microwave

• Vale for providing the ore samples • The McGill Undergraduate Research in Engineering Program • McGill Mineral Processing Group of the Department of Mining and Materials

Engineering • Pejman Nekoovaght for his assistance in the microwave laboratory

• Mineral processing is the process of separating valuable minerals from gangue

• The process is estimated to account for 6 percent of global energy consumption and is as little as 3 percent efficient [1]

• With the increased focus on environmentally friendly practices, the optimization of the comminution process is of vital importance

• Analyze the effect of microwave pre-treatment on the grindability of the Voisey’s Bay ore

• Optimize the pre-treatment process to produce the greatest reduction to the energy input during grinding

• Microwave radiation encompasses the range of the electro magnetic spectrum between 300 MHz and 300 GHz • Microwave heating functions only for dielectric substances, where heat is generated primarily through the rotation of dipoles • A dielectric substance is an electric insulator which is

polarized in the presence of an electric field [2]

• Minerals show varying responses to microwave radiation • Microwave heating of ores functions on the basis that

valuable minerals are receptive to microwave radiation, while gangue minerals are transparent to their effect

• Microwave radiation causes differential heating within an ore body which leads to cracks forming along and across grain boundaries [3]

Figure 1: 2.45 GHz 3000 W multi-modal microwave

Figure 2: Scanning electron micrograph showing an untreated (a) sample as compared to microwave pre-treated sample (b) [4]

• Grinding, along with crushing, is the primary source of size reduction in mineral processing

• As the mill rotates the mechanical forces acting on the ore body overcome the bonding forces and cause a general reduction in grain size

• The size reduction is directly proportional to energy input by the mill: i.e. the ball charge, grind time

Figure 3: An unground ore sample (a) as compared to a sample ground for 30 minutes (b)

Figure 4: A standard laboratory Bond ball mill

• The Bond mill test was developed as a method to classify an ore based on the energy required to achieve a given size reduction

• The work index represents the energy required to reduce ore from infinite grain size to a predetermined passing size [5]

• The ore tested is Vale’s Voisey’s Bay Eastern Deeps Massive Ore; it is a nickel and copper ore composed primarily of chalcopyrite (𝐶𝑢𝐹𝑒𝑆2) and pentlandite([𝐹𝑒,𝑁𝑖]9𝑆8) and contains traces of some other minerals

a b

Ore Type Cu [%]

Ni [%]

Fe [%]

S[%]

MgO[%]

𝑆𝑖𝑂2 [%] Co [%]

Eastern

Deeps

Massive

1.3 ±0.06

3.4 ±0.13

54.7 ±0.9

35.3

±0.7

0.1

±0.02

0.8

±0.1

0.19

±0.01

Table 1: Voisey’sBay Assay Information

[1] Kobusheshe, J. (2010) “Microwave Enhanced Processing of Ores”, PhD Thesis The University of Nottingham (UK). [2] dielectric. (2012). In Encyclopædia Britannica. Retrieved from http://www.britannica.com/EBchecked/topic/162630/dielectric [3] Jones, D.A, Kingman, S.W, Whittles, D.N, Lowndes, I.S. (2005). Materials Engineering, 18, 659-669. [4] Sahyoun,C. (2004) “The effect of microwave radiation on the liberation of minerals from ores”, PhD Thesis The University of Birmingham (UK). [5] Magdanilovic, D. (1989). International Journal of Mineral Processing, 27, 125-132. [6] Kingman, S.W., Rowson, N.A. (1998). Minerals Engineering, 11(11), 1081-1087.