Data-set collected during turning operation of AISI 1045 alloy steel with green cutting fluids in near dry condition

This work is to explicate the data collected during the turning of AISI 1045 alloy steel components in near dry condition with emulsified cutting fluids prepared from cooking oils such as Palm oil and Peanut oil. The base oils are tested for its relative density, viscosity and flash point following ASTM standards. Highly influencing turning factors are identified and the experiments are planned and arranged using Taguchi’s L27(35) orthogonal array, the experiments are repeated to reduce the errors. The quality aspect of machined components and the machining interface temperature is observed as the outcomes. The prediction models are created for the experiments through regression analysis.本研究旨在阐明采用棕榈油、花生油等食用油制备的乳化切削液，在近干切削工况下车削AISI 1045合金钢工件时所采集的实验数据。按照美国材料与试验协会（ASTM）标准，对基础油的相对密度、黏度及闪点开展测试。筛选出对车削过程影响显著的工艺参数，并采用田口（Taguchi）L27(3^5)正交表规划并实施实验，同时通过重复实验以降低误差。以加工工件的质量特性及加工界面温度作为实验观测指标。基于上述实验数据，通过回归分析构建预测模型。