Modeling of Nanolubricant-Assisted Machining Process by using Multiple Regression Analysis

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Sl. no</td><td class="align_center">Output parameter</td><td class="align_center">Error percentage</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Feed force</td><td class="align_center">3.92</td></tr><tr><td class="align_left">2</td><td class="align_center">Main cutting force</td><td class="align_center">4.00</td></tr><tr><td class="align_left">3</td><td class="align_center">Thrust force</td><td class="align_center">2.51</td></tr><tr><td class="align_left">4</td><td class="align_center">Temperature</td><td class="align_center">3.09</td></tr><tr><td class="align_left">5</td><td class="align_center">Surface roughness</td><td class="align_center">−1.76</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Percentage error between the experimental and predicted values.</div>

Journal of Nanomaterials

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Table 2

Table 2: Modeling of Nanolubricant-Assisted Machining Process by using Multiple Regression Analysis 