Scholarlink

<p>This research investigates the effects of castor oil-based minimum quantity lubrication on milling aluminum 1050, focusing on machining parameters optimization. Al1050 has been used in industry metal work requiring moderate strength for cooling fins base plate products. This material encounters built-up edge in the flute area of the milling cutter while machining. It is caused by the adhesion of the chip material to the cutting tool due to high ductility. This research investigates the application of castor oil MQL on aluminum alloy considering variables such as cutting speed, feed, depth of cut, cutting tool, and lubricant as they directly affect the surface quality of the machined product. Statistical analysis by both Taguchi-based ANOVA and GRA with regression modeling was conducted. The analysis of surface roughness in machining shows that oil percentage is the most influential factor, contributing 32.75%, followed by feed rate (24.19%) and depth of cut (21.99%). Cutting speed also plays a role, contributing 19.86%. Optimal surface roughness is achieved using moderate feed rates, depth of cut, and oil percentages at 15%. A confirmation test validated these optimized settings, improving the Grey Relational Grade significantly and enhancing surface quality. Oil percentage, with 45.19% contribution, remains the dominant factor in overall process optimization. Thus, this study plays a significant role in enhanced lubrication, optimized parameters, and eco-friendly machining. Optimized parameters improved material removal rate to 3,821,656.051 mm<sup>3</sup>/min, roughness to 0.829&#xa0;µm, temperature to 25.73&#xa0;°C, and with grade improvement of 0.096.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Experimental study on castor oil minimum quantity lubrication in milling Aluminum 1050 plate

  • 期刊论文

  • 发表日期：

    2025年7月15日

查看全文
  • Adane Abunu,
  • Semegn Cheneke

摘要

This research investigates the effects of castor oil-based minimum quantity lubrication on milling aluminum 1050, focusing on machining parameters optimization. Al1050 has been used in industry metal work requiring moderate strength for cooling fins base plate products. This material encounters built-up edge in the flute area of the milling cutter while machining. It is caused by the adhesion of the chip material to the cutting tool due to high ductility. This research investigates the application of castor oil MQL on aluminum alloy considering variables such as cutting speed, feed, depth of cut, cutting tool, and lubricant as they directly affect the surface quality of the machined product. Statistical analysis by both Taguchi-based ANOVA and GRA with regression modeling was conducted. The analysis of surface roughness in machining shows that oil percentage is the most influential factor, contributing 32.75%, followed by feed rate (24.19%) and depth of cut (21.99%). Cutting speed also plays a role, contributing 19.86%. Optimal surface roughness is achieved using moderate feed rates, depth of cut, and oil percentages at 15%. A confirmation test validated these optimized settings, improving the Grey Relational Grade significantly and enhancing surface quality. Oil percentage, with 45.19% contribution, remains the dominant factor in overall process optimization. Thus, this study plays a significant role in enhanced lubrication, optimized parameters, and eco-friendly machining. Optimized parameters improved material removal rate to 3,821,656.051 mm3/min, roughness to 0.829 µm, temperature to 25.73 °C, and with grade improvement of 0.096.