CO-PRODUCTION OF CHEMICALS IN MINING BY MECHANOCHEMISTRY Conor Young ABSTRACT Grinding of ores in mineral processing consumes approximately 3% of electricity worldwide. The efficiency of grinding is low when compared with the theoretical energy required to create new surface area; as a result much of the energy input is converted to heat. Localised high temperatures and pressures caused by grinding have been shown to increase the rate of catalytic chemical reactions, providing an opportunity for value-adding chemical reactions to be facilitated by controlling the chemical environment inside the grinding mill. Various oxide ores were ground in a butane atmosphere and headspace samples analysed using gas chromatography (GC) to determine if any reaction had taken place. Whilst partial oxidation products were detected in some experiments, these could not be attributed to reactions involving butane. The study was limited by access to suitable experimental and analytical equipment. Avoiding significant air leakage into the gas samples proved difficult and the planned grinding of sulfide ores could not be completed due to lack of access to suitable equipment to detect the anticipated product gases. SCHOOL OF CHEMICAL ENGINEERING 1 INTRODUCTION 1.1 ENERGY USE IN MINING The most energy intensive step in mineral processing is grinding (milling), accounting for 35%1 to 53%2 of mine site energy consumption and 3% of global electricity consumption2. Compared with the theoretical energy required to create new surface, the energy efficiency of grinding can be as low as 1%3. The Bond work index is the most commonly used parameter to describe ore grindability and estimate ball milling work input (kWh/t) for a given size reduction. 1 1 𝑊 = 10𝑊𝑖 ( − ) √𝑃80 √𝐹80 Equation 1: Bond Ball Mill Work Index, JKTech, 2015 W is work input (kWh/t), Wi is Bond work index (kWh/t), P80 is 80% passing size of the product (µm) and F80 is 80% passing size of the feed (µm). The Bond work index is equal to the work input required for ore particle size reduction from very large down to 100µm, and is typically 10 to 20kWh/t. The desired reduced particle size is dependent on ore type and grade but is generally 70-110µm. The Bond work index gives a reasonable estimate of total comminution energy input. 1.2 MECHANOCHEMISTRY Deformation and fracture of solids causes increased surface area and energy as well as localised high temperatures. Mechanical activation, which occurs during grinding, causes short lived surface structures which are chemically reactive. Thiessen’s magma-plasma model of mechanochemical interaction (Figure 1) proposes that a high energy concentration exists at the contact point between particles which forms a plasmatic state. Electrons and photons are emitted and local temperatures can transiently exceed 10 000oC4. Figure 1: Magma-plasma model, Balaz, 2000 Mechanical work input can increase the rate of reaction of catalytic chemical reactions. In situ ball milling of various metal oxide catalysts (NiO, Cr2O3, Pt/Al2O3, Co3O4) has been shown to cause a several order of magnitude increase in the rate of oxidation of CO, showing that the activity of the surface to reduction by CO was increased during milling5. The rate of reaction steadily increased during several hours of milling, but rapidly decreased again as soon as milling ceased. Hydrogenation of CO to methane over amorphous NiZr powder was shown to occur during milling, with conversion peaking after approximately 10 hours6. Similarly, hydrogenation of CO2 to methane was performed during ball milling of various MgO-mixed catalysts at elevated pressure and temperature for one hour7. It was found that additional milling of the catalyst prior to introduction of reactant gases had little effect on reaction yield, showing that in situ milling is primarily responsible7. Grinding of cellulose from various sources with kaolinite and bentonite clays has been shown to be an effective mechanocatalytic method to cause depolymerisation into glucose and other useful precursor chemicals8. The layered structure of clays is particularly effective as a mechanocatalyst as the weak interlayer bonds are broken during grinding to create an active and high surface area8. The implementation of fine grinding (5-20µm) has been shown to improve efficiency in hydrometallurgical processes. Mechanical activation is achieved by grinding ore to 5-20µm prior to leaching, providing substantial increases in yield9. oxidation of the alkane to syngas. The reaction and potential yield is outlined below: 1.3 TECHNOECONOMIC POTENTIAL 12Fe2O3 + C4H10 --> 4CO + 5H2 + 8Fe3O4 The energy consumed in grinding represents a sizable potential resource to exploit. Given the low efficiency of the grinding process, up to 99% of energy is consumed in generating heat and disordered surface structures. The rate of electricity consumed in comminution globally may be as high as 65GW (3% world electricity consumption10) and worth $57B annually (@$0.1/kWh). Hematite has a bond work index of 14.25kWh/t (51.3MJ/t). Assuming 99% of grinding energy goes into reaction, 82 mol/t of reaction will proceed per tonne of hematite ground. The products would consist of 9.17kg CO, 0.8kg H2 and 152kg Fe3O4. High volume commodity ores cost US$50 to US$150 per tonne11. With comminution work input of 10-20 kWh/t and commercial electricity cost of $0.1/kWh, electrical energy input represents 1-4% of sale price. Ores of interest are those which have high production levels in Australia and globally, such that implementation of energy saving and value adding measures to their comminution process would have significant impact. The value of the chemical reaction performed must justify mill modification expense and additional milling energy required if comminution work input is increased. 1.4 PROPOSAL It is proposed that a portion of the milling energy may be used to drive reactions by creating a mechanocatalytic environment of intense localised heat, pressure and highly-active, short-lived surface structures. By controlling the chemical environment in the grinding mill it is hoped that value-adding chemical reactions may be facilitated. Ores which are of interest to the study are those which have high production volume and have been identified as potential catalysts in the literature. A full list of ores of interest can be found in Appendix A. Ores which were tested in preliminary experiments were hematite (Fe2O3), ilmenite (FeTiO3) and a nickel ore (NiS, NiO). Mixed sands and gravels were also tested. Extended milling of hematite has been shown to increase conversion and cause a reduction in the temperature required for ore reduction by hydrogen gas12. One hypothesis is that the milling of oxide ores in an alkane gas will drive the reduction of the ore and partial ΔH = ΣHf0 products - ΣHf0 reactants = 627 kJ/mol (at 1atm, 298K) Assuming 100% reaction efficiency, 15% of ore is reduced by normal milling work input (to 100µm). In practice the products will likely also include CO2, H2O and unreacted butane. To test the hypothesis of partial oxidation of alkanes in the presence of oxide ores and milling work input, a preliminary round of experiments were performed. Butane was used as the alkane as it is more reactive than methane. Methane would ultimately be a more economically practical choice due to its abundance in natural gas. There is also interest in sulfide ores and the potential to synthesise thiol compounds. Sulfide ores (NiS, CuS and CuFeS2) may be tested if suitable methods can be utilised. 2 METHODS 2.1 ORE PREPARATION Ores were generally used in their natural form, as supplied. As initial particle size varied 0.1mm (ilmenite) to 100mm (hematite), particles larger than 50mm diameter had to be first crushed using a mortar and pestle to fit the grinding chamber. Approximate initial ore sizes are listed in Table 3. 50g of specimen was used in each milling experiment. As experiments sought to investigate oxide ore reactions the ‘Kambalda nickel ore’ sample, identified to predominantly contain nickel sulfide, was heated to 800oC in 1atm air for 24 hours prior to milling. Nickel sulfide has been shown to react with oxygen to form nickel oxide at temperatures above 700oC13. A mixed gravel sample was used as a model containing a diverse mixture of solid oxides. The gravel pebbles were After milling a Malvern Hydro Mastersizer 2000 was used to determine the product size. Particle size distribution plots were produced and the P80 measurement used to characterise each specimen. 2.2 GRINDING A 5.8kW Siebtechnik vibratory pulveriser mill was used as the source of mechanical work input. The lid of the steel milling chamber was modified to incorporate two gas taps for filling and sampling of the headspace. The 350mL milling chamber was purged with 2L of feed gas prior to milling by injecting gas from a sample bag. Each specimen was ground for 40 minutes and the external chamber temperature recorded at the beginning and end of each run using an infrared thermometer. 2.3 GAS ANALYSIS The feed gas used in preliminary experiments was a predominantly n-butane fuel gas which also contained propane and isobutane. Argon was substituted in control experiments. After milling, a syringe was used to extract 100mL of gas from the milling chamber which was then transported in a polymer gas sample bag to the gas chromatograph. Typical transport times were 60 minutes. 2.3.1 OXIDATION PRODUCT DETECTION (H 2 , CO, CO 2 ) Gas samples were analysed to determine the concentration of gas reaction products. H2, CO and CO2, O2 and N2 levels were measured. Nitrogen, oxygen and hydrogen were detected using a Shimadzu GC2014 with argon carrier gas, 5A molecular sieve column and TCD detector, as seen in Figure 2. This is an effective setup to measure low molecular weight gases, however, due to the pore size of the zeolite molecular sieve the column does not retain hydrocarbons larger than ethane and is unsuitable for use with CO2 as it becomes permanently trapped on the column14. Detector intensity, mV mixed composition and colour. Sand, believed to be predominantly quartz, was also milled. 120 100 80 60 40 20 0 0 1 2 Time, minutes hydrogen 10% oxygen air nitrogen 3 4 Figure 2: Standard Gases Carbon dioxide and carbon monoxide were detected using a Shimadzu GC2010 with nitrogen carrier gas, Shincarbon ST micropacked column and FID methanizer detector. 2.3.2 ALKANE DETECTION Propane, isobutane, n-butane and their partial oxidation products were detected using helium carrier gas, Shincarbon ST micropacked column, FID methanizer and TCD detector. The apparatus was used to determine the content of known products of partial oxidation of alkanes but also more complex potential products. Initial column temperature is set to 40oC for 5 min whilst light molecules elute before a ramp to 200oC to accelerate the elution of heavier molecules such as butane. 3 RESULTS AND DISCUSSION originated from water present in the ore prior to milling, which oxidised the ore during grinding. 140 Detector intensity, mV 3.1 CO & CO 2 PRODUCTION Of the ores milled in butane, ilmenite was the only one which showed significant CO and CO2 in product gas samples. The sub-atmospheric levels of CO2 in hematite, gravel and nickel ore are to be expected given the leakage of air into those samples. Further testing was performed on ilmenite to determine the origin of CO2 in product gases. It was found that even higher levels of CO and CO2 were present when ilmenite was milled in argon gas, rejecting the hypothesis that these could be products of partial or total oxidation of hydrocarbons. An ilmenite sample was pre-cooked at 600oC for 24 hours prior to milling and showed sub atmospheric levels of CO and CO2. This may indicate that the CO and CO2 is adsorbed to or contained within the ilmenite prior to milling but can be desorbed by heating. 3.2 HYDROGEN PRODUCTION Hydrogen was measured in the product gases of all milled ores except hematite. High levels were measured from milling sand both in butane and argon gas, 14% and 5% respectively. No H2 was measured in sand which was pre-heated prior to milling, as shown in Figure 3. This suggests that the hydrogen measured in product gas samples likely Hydrogen 120 100 80 60 40 Oxygen Nitrogen 20 0 0 Butane 1 2 3 Time, minutes 4 Butane, pre-cooked 5 Argon Figure 3: Milled Sand Samples 3.3 FEED GAS CONSUMPTION Air concentration increase was compared with reduction in concentration of the butane fuel mix feed gas (comprised of propane, isobutane and n-butane) to estimate whether significant amounts of feed gas were consumed in chemical reactions during milling of an ilmenite and sand mixture, as seen in Table 2. Table 2: Gas Concentration Changes Concentration Pre milling Post milling Delta Butane fuel mix 91% 80% 11% Air 12% 21% 9% Table 1: Milling headspace GC analysis Ore Ilmenite Ilmenite Ilmenite Hematite Nickel ore Gravel Sand Sand Sand Ilmenite, sand 1:1 Pre-treatment 600degC, 24hr 800degC, 24hr 600degC, 24hr Reactant Gas butane argon butane butane butane butane butane argon argon butane Air Leak ++ + +++ ++ ++ + + ++ + Products H2 CO2 ppm 0.2% 3458 0.6% 9755 298 0% 357 0.1% 136 2% 161 14% 5% 0.02% CO ++ ++ + + + + Key: Air leak: + <33%, ++ <66%, +++ >66%; CO: + trace amount, ++ significant amount Butane consumption 2% Detector Intensity, mV 100 Unidentified elution 0.4 0.3 CO2 0.2 0.1 CO O2, N2 80 0 0 5 10 15 20 Time, minutes 60 Post Milling Propane 40 Pre Milling Air Figure 6: Unidentified elution, FID, ilmenite and sand, butane 20 iso-butane n-butane 3.4 PARTICLE SIZE REDUCTION AND ENERGY EFFICIENCY 0 0 50 100 Time, minutes From can Post Milling Pre Milling Figure 4: TCD, ilmenite and sand, butane An unidentified elution was detected at low concentrations at six minutes by both TCD and FID detectors as seen in Figure 5 and Figure 6 respectively. The peak is much smaller than the main gas constituents. 3 Detector Intensity, mV 0.5 Detector Intensity, V The 2% concentration discrepancy between air infiltration and feed gas reduction could indicate reaction, however, as the 95% confidence intervals of the feed gas and air concentrations were ±6% and 12% respectively, this cannot be confirmed. Figure 4 shows the TCD chromatograms from this experiment. 2.5 Unidentified elution 2 1.5 Table 3 shows the p50 (50% sample passing size) and p80 of ores after milling. Whilst a more rigorous method needs to be used to characterise feed size, the difference between feed and product particle size can be used as an estimate of milling work input using the Bond Work Index equation. It can be seen that regardless of initial feed size all of the ores were reduced to sub 100µm after 40 minutes of grinding. Whilst the ilmenite was labelled as 106µm, it is likely that this was a minimum size rather than P80 specification, as the product was visibly many times finer than the feed. Table 3: Ore particle size Feed size, µm CO2 1 0.5 0 0 5 10 15 20 Time, minutes Post Milling Pre Milling Air Figure 5: Unidentified elution, TCD, ilmenite and sand, butane Hematite Ilmenite Nickel Gravel 30000 106 5000 30000 Product size, µm P80 P50 30.0 7.9 82.3 14.7 46.6 12.0 26.5 6.4 Table 4 shows the estimated work input from milling, based on the measured particle size reduction. This is likely an underestimation of the actual work input as the Bond index is used for ball milling, a more efficient grinding method than vibratory milling. Also the size reduction may have slowed or stopped before the end of the 40 minute milling procedure. Typically the vibratory mill is only used for several minutes at a time to reach desired particle size reduction. Table 4: Estimated work input Bond Index, kWh/t Work input, kWh/t hematite 11 19.4 ilmenite 15 2.0 nickel 15 19.9 gravel 17.7 33.4 The energy consumption of each 40 minute milling operation based on the actual energy usage of the mill was 3.9kWh, giving a work input of 77MWh/t. This figure is three orders of magnitude larger than typical energy inputs and thus likely infeasible for commercial operations to adopt. 3.5 AIR INFILTRATION Air infiltration was an issue throughout the experimental process. Efforts were made to reduce leakage by modifying experimental practice and equipment. Considerable infiltration occurred injecting gas into the sample bag and then from the sample bag into GC (7%). The majority of infiltration (15%) occurred when injecting and sampling gas to and from the milling chamber, whilst an additional 7% of air leaked into the chamber during milling. Considerable and variable air leakage was measured between gas specimens tested immediately after milling and 24 hours later due to leakage Air infiltration could be reduced by using a vacuum pump to evacuate the chamber prior to injecting gas rather than the purging method used. Use of a syringe with a tap would likely reduce the infiltration in each operation of transferring gas between stages of testing. Time between taking samples and GC measurement must be kept to a minimum due to air infiltration during sample bag storage. 4 CONCLUSION Several high-volume commodity oxide ores as well as sand and gravel mixtures were subjected to intense mechanical work input in various, controlled gas atmospheres. The intention of screening experiments were to find out whether chemical reactions were readily observed and rapid under typical conditions. Partial oxidation products (H2, CO, CO2) were detected after grinding particular ores with butane gas however these products could not be attributed to reactions with the alkane gas as they also occurred when grinding in an inert argon atmosphere. The hydrogen produced was attributed to moisture in the ores prior to milling as precooked ore samples showed no hydrogen in headspace samples. Limited experimental results showed that no significant amount of butane was consumed during milling processes. Further testing may uncover opportunities for this potential resource to be utilised. Sulfide minerals represent a large proportion of commodity ores in Australia and globally and were not tested in this body of work. 5 REFERENCES 1. Napier-Munn T. Comminution Energy and How to Reduce it 2012. Available from: http://www.ceecthefuture.org/wpcontent/uploads/2012/11/NapierMunn-CEEC-3-12.pdf. 2. Comminution TCfE-E. Why Smart Companies are Focusing on Comminution? 2012; 3. 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Bond Work Index Tables: Scribd.; 2015; Available from: http://www.scribd.com/doc/17152474 5/Bond-Work-Index-Tables-Wi#scribd Identified Australian 6 APPENDICES 6.1 APPENDIX A: ORES OF IMPORTANCE Table 5: Major Commodity Ores in Australia Mine production 2013, kt15 Bond work index, kWh/t16 Chemical formulae of common species15 Price, USD/t11 Fe2O3, Fe3O4 45 Australia World Iron ore 609000 3024000 10.99, 14.25 Black coal 538000 6926000 14.3 Bauxite 81100 263000 9.68 Brown coal 73000 905000 14.3 Manganese ore 7447 48000 Phosphate rock(w) 2580 Zinc 57 AL2O3.3H2O, AL2O3.H2O 58 13.4 MnO2, MnCO3 120 224000 10.9 Ca5(F, Cl, OH)(PO4)3, P2O5 1520 13600 12.7 Zn-FeS, ZnCO3 Ilmenite 1152 12270 Copper 1000 17900 Lead 710 Magnesite FeTiO3 115 14.03 CuFeS2, Cu5FeS4, Cu2S 300 5400 12.93 PbS, PbCO3, PbSO4 290 504 21160 12.27 MgCO3, MgO Zircon 333 1440 Rutile 244 570 Nickel 234 2480 Kaolin 155 39000 Al2Si2O5(OH)4 Bentonite 135 14600 Al2O34SiO2H2O Chromium 94.2 26000 FeCr2O4 Tin 6.5 231 12.02 SnO2 Uranium 6.4 58.4 17 UO2, U3O8 Cobalt 6.4 117 CoAs2, CoAsS, Co(AsO4)2.8H2O Antimony 5 163 Sb2S3 ZrSiO4 1700* 13.98 TiO2 900* 15.05 NiS 20-75 *Indicates ore price is for a concentrated product 90-300*
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