OBRABOTKAMETALLOV MATERIAL SCIENCE Vol. 26 No. 3 2024 Ta b l e 2 Brinell hardness characterization of aluminum composite specimens Red Mud (%) CSA (%) Load (kN) Observed hardness Predicted hardness Signal-tonoise ratio 5 5 10 33.52 32.78 30.50696 5 5 15 34.75 35.02 30.82105 5 5 20 36.61 37.30 31.27347 5 7.5 10 35.12 35.94 30.91267 5 7.5 15 36.11 38.22 31.15281 5 7.5 20 38.22 40.50 31.64756 5 12.5 10 35.47 35.71 30.99823 5 12.5 15 37.60 37.95 31.50574 5 12.5 20 38.38 40.27 31.68409 7.5 5 10 36.27 34.95 31.1922 7.5 5 15 38.60 37.22 31.73368 7.5 5 20 39.21 39.50 31.8698 7.5 7.5 10 37.64 35.94 31.51387 7.5 7.5 15 38.99 38.22 31.82011 7.5 7.5 20 39.93 40.50 32.02644 7.5 12.5 10 38.09 37.92 31.61843 7.5 12.5 15 39.85 40.20 32.00981 7.5 12.5 20 40.32 42.48 32.11192 12.5 5 10 38.49 39.36 31.70709 12.5 5 15 39.33 41.64 31.89633 12.5 5 20 42.39 43.94 32.54664 12.5 7.5 10 39.04 40.35 31.83158 12.5 7.5 15 40.60 42.63 32.17236 12.5 7.5 20 48.72 44.91 33.75489 12.5 12.5 10 41.53 42.34 32.3691 12.5 12.5 15 43.51 44.62 32.77234 12.5 12.5 20 52.44 46.9 34.39448 1 2.5 7.5 5.0 32.6 32.4 32.2 32.0 31 .8 31 .6 31 .4 31 .2 31 .0 1 2.5 7.5 5.0 20 1 5 1 0 Red Mud(%) Mean of SN ratios CSA (%) Load(kN) Main Effects Plot for SN ratios Data Means Signal-to-noise: Larger is better Fig. 1. Mean effect of signal-to-noise ratio on Brinell hardness
RkJQdWJsaXNoZXIy MTk0ODM1