Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Estimate</td><td class="align_center">SE estimate</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left"><i>x</i><sub><i>1</i></sub></td><td class="align_center">0.119379</td><td class="align_center">0.0296690</td></tr><tr><td class="align_left"><i>x</i><sub><i>2</i></sub></td><td class="align_center">0.586379</td><td class="align_center">0.0127844</td></tr><tr><td class="align_left"><i>x</i><sub><i>3</i></sub></td><td class="align_center">0.660086</td><td class="align_center">0.0414910</td></tr><tr><td class="align_left"><i>x</i><sub><i>4</i></sub></td><td class="align_center">0.501722</td><td class="align_center">0.0290065</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div>Maximum iterations: 200; tolerance: 0.00001; SE: standard error.<br/></div></td></tr></table>

<div>Nonlinear regression analysis carried out with the Levenberg–Marquardt algorithm.</div>

Mathematical Problems in Engineering

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Table 6

Table 6: Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations 

Table 6 | Machining Parameters and Toolpath Productivity Optimization Using a Factorial Design and Fit Regression Model in Face Milling and Drilling Operations 