MULTIPLE OPTIMIZATION ANALYSIS OF MRR, SURFACE ROUGHNESS, SOUND İNTENSITY, ENERGY CONSUMPTION, AND VIBRATION VALUES IN MACHINABILITY OF TC4 TITANIUM ALLOY

Harun Akkuş ()
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Harun Akkuş: Automotive Technology Program, Nigde Vocational School of Technical Sciences, Nigde Omer Halisdemir University, Nigde, Turkey

Surface Review and Letters (SRL), 2021, vol. 28, issue 09, 1-12

Abstract: Research on machining continues increasingly today. The effects of independent variables (cutting speed, feed rate, cutting depth) on dependent variables (material removal rate (MRR), average surface roughness (Ra), sound intensity, energy consumption, and vibration) are among the most researched topics in machining. It is also important to achieve optimum results with low cost and time savings in machining.In this study, titanium alloy TC4 material was turned on CNC lathe. Taguchi L16 mixed level design was used in experimental design. MRR, Ra, sound intensity, energy consumption, and vibration values were measured for the determined cutting parameters. The measured values were researched experimentally and statistically. Effective parameters were determined. It was concluded that the cutting parameter that has the greatest effect on MRR, Ra, energy consumption, and vibration is the feed rate. In addition, the depth of cut was the parameter that most affected the sound intensity. Control experiments were carried out after determining the optimum machining parameters. With multiple optimization, the predictions were made with approximately 89% accuracy (92.75% for MRR, 92.49% for Ra, 89.45% for sound intensity, 92.70% for energy consumption, 96.16% for vibration).

Keywords: Energy consumption; machinability; MRR; sound intensity; surface roughness; vibration (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218625X21500724

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