Experimental Investigation of Aluminium Alloy-2024 During Drilling Operation |
Author(s): |
| Sanket Sanjay Kavare , Tatyasaheb Kore Institute of Engineering and Technology, Warananagar. India; Abhijit Shinge, Tatyasaheb Kore Institute of Engineering and Technology, Warananagar. India |
Keywords: |
| CNC (Computer Numeric Control), MRR (Material Removal Rate), RPM (Revolution per Minute), SNR (Signal to Noise Ratio), Ra (Roughness Average) |
Abstract |
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This research investigates the influence of cutting parameters (spindle speed, feed rate, and depth per pass) on the drilling performance of Al 2024 alloy using a Taguchi-based design of experiments (DOE) approach. The study focuses on three key responses: material removal rate (MRR), cylindricity, and surface roughness. Analysis revealed that feed rate exerted the most dominant influence on MRR, exhibiting a positive correlation with material removal. Lower values of all three cutting parameters have influential effect for achieving better cylindricity. For Surface roughness, higher depth per pass plays important role with higher spindle speed and moderate feed rate as contributing parameter. The study highlights the importance of considering the interactive effects of cutting parameters when selecting optimal combinations for specific drilling applications. |
Other Details |
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Paper ID: IJSRDV11I120054 Published in: Volume : 11, Issue : 12 Publication Date: 01/03/2024 Page(s): 58-61 |
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