Modeling and Optimization of Turning Process Using White Coconut Oil as Metalworking Fluid Through Desirability Function

<div class="section abstract"><div class="htmlview paragraph">Aluminium alloys enrolled their applications in automobile sectors, agricultural equipment, machine tools and aerospace because of their weight-to-strength ratio. Aluminium alloy 7075-T651 is an inevitable material used in engineering sectors. Turning is a metal removal process, to obtain net geometrical aspects and better surface finish of the products. The machinability of the turning operation is based on different factors; however, turning factors and material of tool plays a significant position in the turning process. To identify the truthful cutting parameters to achieve multi-responses in turning operation, the experiment was designed via Response Surface Methodology (RSM) Central Composite Design (CCD) and the experimental results are analyzed under the desirability approach. By trialing 26 interpretations in the desirability approach; the optimal cutting parameter settings of speed 800 rpm, feed rate 0.140315 mm/rev and depth of cut 0.3501 mm have been revealed to enhance surface roughness (SR) and metal removal rate (MRR).The confirmation test addresses better agreement with the predicted value of responses, the result of the investigation directed to the industries for the variant aluminium alloy parts manufacturing.</div></div>

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Modeling and Optimization of Turning Process Using White Coconut Oil as Metalworking Fluid Through Desirability Function

Cited by 2 publications

References 7 publications

Mathematical modeling to estimate machining time during milling of Inconel 718 workpiece using ANN

Mathematical modeling to estimate machining time during milling of Inconel 718 workpiece using ANN

Multi Response Optimization of Machining Heat Treated Aluminium Alloy Using Desirability Approach

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