4.5 Article

Analysis of Hole Quality and Chips Formation in the Dry Drilling Process of Al7075-T6

期刊

METALS
卷 11, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/met11060891

关键词

drilling; Al7075-T6; surface roughness; hole size; circularity; burrs; chips analysis

资金

  1. CECOS University
  2. Peshawar Light Engineering Centre at CECOS Industrial Liaison Centre, Industrial Estate, Peshawar, Pakistan

向作者/读者索取更多资源

Efficient drilling is crucial for success in many industries, with the proper selection of drilling process parameters and tools being essential for high-quality holes. This study focuses on the effects of spindle speed and feed rate on chip analysis and hole quality, specifically in Al7075-T6 alloy drilling. Results indicate that surface roughness decreases with increasing spindle speed and increases with higher feed rates, while hole size increases with high spindle speed. High feed rates and low spindle speeds result in short and segmented chips.
Millions of holes are produced in many industries where efficient drilling is considered the key factor in their success. High-quality holes are possible with the proper selection of drilling process parameters, appropriate tools, and machine setup. This paper deals with the effects of drilling parameters such as spindle speed and feed rate on the chips analysis and the hole quality like surface roughness, hole size, circularity, and burr formation. Al7075-T6 alloy, commonly used in the aerospace industry, was used for the drilling process, and the dry drilling experiments were performed using high-speed steel drill bits. Results have shown that surface roughness decreased with the increase in spindle speed and increased with the increase in the feed rate. The hole size increased with the high spindle speed, whereas the impact of spindle speed on circularity error was found insignificant. Furthermore, short and segmented chips were achieved at a high feed rate and low spindle speed. The percentage contribution of each input parameter on the output drilling parameters was evaluated using analysis of variance (ANOVA).

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