Issue 69

T. B. Prakash et alii, Frattura ed Integrità Strutturale, 69 (2024) 210-226; DOI: 10.3221/IGF-ESIS.69.15

Machining force = 3.93759 + 2.45519 n-B 4 C + 3.57444 n-Al 2 O 3 - 0.0463611 Ageing Temperature (ºC) (2) R-Sq = 81.55% Ra = 0.68 + 0.54963 n-B 4 C + 0.82 n-Al 2 O 3 - 0.00947222 Ageing Temperature (ºC) (3) R-Sq = 86.19% To validate the reliability of the test trials, a series of experiments were conducted, and the disparities between the actual experimental results and the expected outcomes were graphically illustrated. In Figs. 13 and 14, the experimental data points are plotted against the predicted values for Ra and machining force across each level of variables. These graphical representations enable a visual comparison between the observed results and the anticipated values, aiding in the assessment of the accuracy and effectiveness of the experimental procedures. By scrutinizing these graphs, researchers can discern any discrepancies or deviations between the predicted and actual outcomes, thus ensuring the robustness and reliability of the experimental findings.

Experimental Values

Predicted Values

10 12 14 16 18 20

0 2 4 6 8

Machining force (N)

1 2 3 4 5 6 7 8 9 10111213141516171819202122232425262728

Exp. Trails

Figure 13: Plot of Experiment versus Predicted values for machining force comparison.

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 1 2 3 4 5 6 7 8 9 101112131415161718192021222324252627 Surface roughness, Ra (µm) Exp. Trails Experimental Values Predicted Values

Figure 14: Plot of Experiment versus Predicted values for Ra comparison.

Tabs. 5 and 6 provide a clear response compiled from Ra and machining force outcomes. By ranking the delta of the means at 1, these tables provide a clear indication of the significance of different parameters. Specifically, the ranks assigned to the parameters in the response table highlight that nano-sized B 4 C particles play a crucial role in machining force, while nano-sized Al 2 O 3 particles significantly influence Ra. This ranking system allows the identification of the most pertinent characteristics in each aspect of the machining process, enabling researchers to prioritize their focus on factors that have the greatest impact on surface quality and machining efficiency. Level n-B 4 C n-Al 2 O 3 Ageing Temperature 1 7.630 9.141 12.084 2 10.679 11.448 10.990 3 14.996 12.716 10.230 Delta 7.366 3.574 1.854 Rank 1 2 3 Table 5: Response table for Mean - machining force.

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