Research Article
Numerical Simulation of Rock Cutting with a Diamond Sawblade Based on LS-DYNA
Table 2
Regression results to predict the diamond sawblade performance.
| Variables | Cutting parameter | Regression equation | Correlation coefficient | F-value | value |
| SE-FS | Cutting depth of 1 cm | y = 11.42824x2 − 2.02953x + 0.61463 | 0.98417 | 125.30464 | 5.7e−4 | SE-FS | Cutting depth of 3 cm | | 0.99322 | 293.83917 | 1.8e−4 | SE-FS | Cutting depth of 5 cm | | 0.92829 | 26.88862 | 0.00134 | SE-FS | Cutting depth of 7 cm | | 0.97888 | 93.69311 | 2.7e−4 | SE-FS | Cutting depth of 9 cm | | 0.99464 | 372.24357 | 9.1e−5 | SE-RS | Cutting depth of 1 cm | | 0.92196 | 48.25547 | 0.00282 | SE-RS | Cutting depth of 3 cm | | 0.92214 | 48.37552 | 0.00219 | SE-RS | Cutting depth of 5 cm | | 0.96328 | 105.91909 | 9.5 | SE-RS | Cutting depth of 7 cm | | 0.87846 | 29.91088 | 0.00325 | SE-RS | Cutting depth of 9 cm | | 0.92743 | 52.12186 | 0.00171 |
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SE = specific energy; FS = feed speed; RS = rotation speed.
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