Sen Binayak, Gupta Munish Kumar, Mia Mozammel, Pimenov Danil Yurievich, Mikołajczyk Tadeusz
Department of Production Engineering, National Institute of Technology, Agartala 799046, India.
Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250100, China.
Materials (Basel). 2021 Jan 3;14(1):198. doi: 10.3390/ma14010198.
The necessity to progress towards sustainability has inspired modern researchers to examine the lubrication and cooling effects of vegetable oils on conventional metal cutting operations. Consequently, as an eco-friendly vegetable product, castor oil can be the right choice as Minimum quantity lubrication (MQL) base fluid. Nonetheless, the high viscosity of castor oil limits its flowability and restricts its industrial application. Conversely, palm oil possesses superior lubricity, as well as flowability characteristics. Hence, an attempt has been made to improve the lubrication behavior of castor oil. Here, six castor-palm mixtures (varying from 1:0.5-1:3) were utilized as MQL-fluid, and the values of machining responses viz. average surface roughness, specific cutting energy, and tool wear were evaluated. Furthermore, an integrated Shannon's Entropy-based Technique for order preference by similarity to ideal solution (TOPSIS) framework was employed for selecting the most suitable volume ratio of castor-palm oil mixture. The rank provided by the TOPSIS method confirmed that 1:2 was the best volume ratio for castor-palm oil mixture. Afterward, a comparative analysis demonstrated that the best castor-palm volume fraction resulted in 8.262 and 16.146% lowering of surface roughness, 5.459 and 7.971% decrement of specific cutting energy, 2.445 and 3.155% drop in tool wear compared to that of castor and palm oil medium, respectively.
朝着可持续发展迈进的必要性促使现代研究人员研究植物油对传统金属切削操作的润滑和冷却效果。因此，作为一种环保型蔬菜产品，蓖麻油可作为微量润滑（MQL）基础流体的正确选择。然而，蓖麻油的高粘度限制了其流动性，从而限制了其工业应用。相反，棕榈油具有优异的润滑性和流动特性。因此，人们试图改善蓖麻油的润滑性能。在此，六种蓖麻-棕榈混合物（比例从1:0.5至1:3不等）被用作MQL流体，并对加工响应值，即平均表面粗糙度、比切削能和刀具磨损进行了评估。此外，还采用了一种基于香农熵的逼近理想解排序法（TOPSIS）综合框架来选择蓖麻-棕榈油混合物的最合适体积比。TOPSIS方法给出的排序证实，1:2是蓖麻-棕榈油混合物的最佳体积比。随后的对比分析表明，与蓖麻油和棕榈油介质相比，最佳的蓖麻-棕榈体积分数可使表面粗糙度分别降低8.262%和16.146%，比切削能分别降低5.459%和7.971%，刀具磨损分别降低2.445%和3.155%。
