Research Article
Observation of Drilling Burr and Finding out the Condition for Minimum Burr Formation
Table 3
Training dataset for neural networks (NN) and estimated burr height.
| Training data number | Cutting velocity, (m/min) | Feed (mm/rev) | Cooling applied | Use of back up plate | Edge beveliing | Measured burr height (ΔM) (mm) | NN estimated burr height (ΔS) (mm) | Percentage of predication error
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| 1 | 20 | 0.032 | 0 | 0 | 0 | 4 | 4.178 | −4.45 | 2 | 20 | 0.032 | 1 | 0 | 0 | 2.73 | 2.794 | −2.34432 | 3 | 20 | 0.032 | 0 | 1 | 0 | 0.22 | 0.214 | 2.727273 | 4 | 20 | 0.032 | 1 | 1 | 0 | 0.18 | 0.192 | −6.66667 | 5 | 20 | 0.032 | 0 | 0 | 1 | 0.71 | 0.818 | −15.2113 | 6 | 20 | 0.032 | 1 | 0 | 1 | 0.08 | 0.074 | 7.5 | 7 | 20 | 0.05 | 0 | 0 | 0 | 5.22 | 5.047 | 3.314176 | 8 | 20 | 0.05 | 1 | 0 | 0 | 6.17 | 5.938 | 3.76013 | 9 | 20 | 0.05 | 0 | 1 | 0 | 0.12 | 0.132 | −10 | 10 | 20 | 0.05 | 1 | 1 | 0 | 0.04 | 0.0393 | 1.75 | 11 | 20 | 0.05 | 0 | 0 | 1 | 0.5 | 0.49 | 2 | 12 | 20 | 0.05 | 1 | 0 | 1 | 0.08 | 0.076 | 5 | 13 | 20 | 0.08 | 0 | 0 | 0 | 1.93 | 2.092 | −8.39378 | 14 | 20 | 0.08 | 1 | 0 | 0 | 4.17 | 3.075 | 26.25899 | 15 | 20 | 0.08 | 0 | 1 | 0 | 0.1 | 0.109 | −9 | 16 | 20 | 0.08 | 1 | 1 | 0 | 1.43 | 1.373 | 3.986014 | 17 | 20 | 0.08 | 0 | 0 | 1 | 0.34 | 0.429 | −26.1765 | 18 | 20 | 0.08 | 1 | 0 | 1 | 0.02 | 0.024 | −20 | 19 | 25 | 0.032 | 0 | 0 | 0 | 7 | 6.625 | 5.357143 | 20 | 25 | 0.032 | 1 | 0 | 0 | 4.76 | 4.894 | −2.81513 | 21 | 25 | 0.032 | 0 | 1 | 0 | 0.18 | 0.219 | −21.6667 | 22 | 25 | 0.032 | 1 | 1 | 0 | 0.16 | 0.159 | 0.625 | 23 | 25 | 0.032 | 0 | 0 | 1 | 0.91 | 0.791 | 13.07692 | 24 | 25 | 0.032 | 1 | 0 | 1 | 0.03 | 0.027 | 10 | 25 | 25 | 0.05 | 0 | 0 | 0 | 5.52 | 5.66 | −2.53623 | 26 | 25 | 0.05 | 1 | 0 | 0 | 5.66 | 6.044 | −6.78445 | 27 | 25 | 0.05 | 0 | 1 | 0 | 0.63 | 0.568 | 9.84127 | 28 | 25 | 0.05 | 1 | 1 | 0 | 0.05 | 0.041 | 18 | 29 | 25 | 0.05 | 0 | 0 | 1 | 0.76 | 0.664 | 12.63158 | 30 | 25 | 0.05 | 1 | 0 | 1 | 0.05 | 0.047 | 6 | 31 | 25 | 0.08 | 0 | 0 | 0 | 4.71 | 4.246 | 9.85138 | 32 | 25 | 0.08 | 1 | 0 | 0 | 3.27 | 3.718 | −13.7003 | 33 | 25 | 0.08 | 0 | 1 | 0 | 0.31 | 0.362 | −16.7742 | 34 | 25 | 0.08 | 1 | 1 | 0 | 1.24 | 1.25 | −0.80645 | 35 | 25 | 0.08 | 0 | 0 | 1 | 0.64 | 0.523 | 18.28125 | 36 | 25 | 0.08 | 1 | 0 | 1 | 0.08 | 0.079 | 1.25 | 37 | 31 | 0.032 | 0 | 0 | 0 | 3 | 3.823 | −27.4333 | 38 | 31 | 0.032 | 1 | 0 | 0 | 4.84 | 5.052 | −4.38017 | 39 | 31 | 0.032 | 0 | 1 | 0 | 0.35 | 0.368 | −5.14286 | 40 | 31 | 0.032 | 1 | 1 | 0 | 0.38 | 0.331 | 12.89474 | 41 | 31 | 0.032 | 0 | 0 | 1 | 0.64 | 0.732 | −14.375 | 42 | 31 | 0.032 | 1 | 0 | 1 | 0.48 | 0.471 | 1.875 | 43 | 31 | 0.05 | 0 | 0 | 0 | 5.05 | 4.479 | 11.30693 | 44 | 31 | 0.05 | 1 | 0 | 0 | 5.88 | 6.255 | −6.37755 | 45 | 31 | 0.05 | 0 | 1 | 0 | 0.57 | 0.472 | 17.19298 | 46 | 31 | 0.05 | 1 | 1 | 0 | 0.14 | 0.139 | 0.714286 | 47 | 31 | 0.05 | 0 | 0 | 1 | 0.78 | 0.734 | 5.897436 | 48 | 31 | 0.05 | 1 | 0 | 1 | 0.48 | 0.358 | 25.41667 | 49 | 31 | 0.08 | 0 | 0 | 0 | 4.2 | 4.64 | −10.4762 | 50 | 31 | 0.08 | 1 | 0 | 0 | 5.31 | 5.27 | 0.753296 | 51 | 31 | 0.08 | 0 | 1 | 0 | 0.64 | 0.452 | 29.375 | 52 | 31 | 0.08 | 1 | 1 | 0 | 0.35 | 0.449 | −28.2857 | 53 | 31 | 0.08 | 0 | 0 | 1 | 0.44 | 0.423 | 3.863636 | 54 | 31 | 0.08 | 1 | 0 | 1 | 0.07 | 0.079 | −12.8571 |
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