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Table 2. Results of the parameters of proximate, ultimate and petrographic analysis of coal samples Devidas S. Nimaje et al. Assessment of Fire Risk of Indian Coals Using Artificial Neural Network Techniques. American Journal of Mining and Metallurgy, 2015, Vol. 3, No. 2, 43-53. doi:10.12691/ajmm-3-2-2 © The Author(s) 2015. Published by Science and Education Publishing. Sl. No.Coal samples Proximate analysisUltimate analysisPetrographic analysis M %A %VM %C %H %S %O %V%L%I% 1SECL -17.6314.1032.4283.754.740.389.6418.915.8553.04 2SECL -23.1625.6035.2181.535.150.4211.3417.006.1252.97 3SECL -36.4116.4524.5980.794.590.3212.8432.875.3549.50 4SECL - 45.9516.2439.7980.004.920.4012.9431.313.9757.38 5SECL -58.2512.1039.5481.866.241.029.2758.431.5724.51 6SECL -67.6222.5520.7777.265.751.2413.6049.236.1733.96 7SECL -78.1514.9930.9178.385.240.7913.5428.796.233.11 8SECL -88.8611.1630.5277.816.150.5413.9939. 764.7129.26 9SECL -912.5717.1133.6679.944.481.0414.1829.149.0353.19 10SECL -108.2119.3028.1478.525.820.5213.2730.5711.4148.01 11SCCL-12.4333.0727.9675.716.390.7112.2145.881.7638.83 12SCCL-22.1325.9433.4282.325.550.769.9445.721.6738.29 13SCCL-32.7314.4635.8381.223.820.2512.7342.896.833.98 14SCCL-43.7625.6834.1379.674.110.4513.5442.36.3234.39 15SCCL-53.1715.2835.9979.455.160.7513.0241.667.2233.96 16SCCL-63.6637.8425.8878.844.891.0114.7150.354.6227.79 17SCCL-73.7727.1532.8483.501.970.9410.5253.794.8930.23 18SCCL-83.6917.4140.4081.845.460.8510.2652.154.1225.69 19SCCL-92.8611.0438.9180.514.010.6313.3154.714.7132.54 20MCL-17.1337.4823.1772.937.640.7917.6419. 246.728.99 21MCL-26.4235.2525.7674.097.471.1815.5418. 887.8931.34 22MCL-32.8113.4630.1980.173.830.3014.2121.119.8420.55 23MCL-46.6311.2040.9282.913.800.2811.6639.887.2535.16 24MCL-53.8916.2035.5581.673.620.3111.5133.197.8816 25MCL-66.1337.1226.7866.907.451.0619.1223.782.7625.12 26MCL-77.7714.0126.4678.315.911.1410.9128.25.1125.23 27MCL-811.7122.7422.4877.646.971.1610.4738.673.3526.11 28WCL-16.0314.5039.9782.113.230.1512.9258.624.5517.23 29WCL-24.0022.0037.0082.783.180.2012.1366.743.5616.63 30WCL-36.5016.0035.5081.275.480.2710.7834.852.7743.96 31WCL-43.5023.1032.5082.094.580.349.8656.555.7526.19 32WCL-55.5016.0034.5077.954.800.4812.2342.185.9440.59 33WCL-66.0017.5033.5077.405.360.8614.9340.076.0339.88 34WCL-77.3016.0031.5079.695.490.7612.3140.978.7637.88 35WCL-811.0013.5030.0082.285.460.6010.0529.158.5250.93 36WCL-94.1319.5028.9778.903.780.8413.3127.449.1649.74 37WCL-104.0016.0930.1880.054.050.6111.1531.478.3850.23 38NEC-11.326.2043.2672.724.542.2717.4186.874.325.10 39NEC-21.906.9044.1270.066.142.6318.3685.214.455.83 40NEC-34.0611.6354.1272.664.611.1618.2285.944.735.76 41NEC-42.3611.2155.4573.144.550.5920.0584.184.565.42 42NEC-52.1513.5054.4471.064.130.9622.3686.354.185.39 43NEC-62.538.3156.3072.073.650.6518.8085.814.375.94 44NCL-17.9419.4028.4077.435.371.3611.8235.081.640.94 45NCL-28.0319.0631.2174.366.760.7316.0336. 870.6741.32 46IISCO-10.8231.5714.2479.785.161.2012.1559.362.1930.68 47IISCO-20.9727.9616.5872.125.920.8215.2158.332.1731.92 48BCCL-11.3916.3018.4881.665.500.398.5059.942.7927.32 49TISCO-11.4415.0517.8682.265.620.519.0662.293.3928.68 NB: Coking coal samples – IISCO-1, IISCO-2, BCCL-1 and TISCO-1, and the rest are non-coking coal samples
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