Study of different cutting fluids effect on the coupling characteristics of milling noise-vibration and surface roughness of TA2 pure titanium

Abstract

With the increasing use of titanium alloys, it is essential to improve cutting efficiency. However, there are various problems such as high noise, strong vibration and difficulty to control the surface finish quality in actual cutting process, which can be more serious with the increase of machining parameters. In order to obtain better machining quality and higher efficiency, the influence of cutting parameters and cutting fluid on the milling process of TA2 pure titanium under two cutting conditions that use different cutting fluid is firstly studied in this paper. The correlation between the surface roughness (SR) of the workpiece and multiple metrics which milling noise (MN) and milling vibration (MV) is further studied on the basis of experimental data. In this paper, a series of parameters that have a strong correlation with SR are selected. Then, prediction models based on Least Squares Method (LSM) and Response Surface Methodology (RSM) are established. Finally, established models are compared to find ways to improve prediction accuracy. The experimental results indicate that compared with water-based cutting fluid, oil-based cutting fluid can make TA2 workpiece obtain better and more stable cutting performance most of the time; MV has a more significant correlation with SR and is therefore more suitable for establishing prediction model; The accuracy of the prediction model that takes the multi-factor coupling effect into consideration has been generally improved and the average optimization degree of the Improved Particle Swarm Optimization (IPSO) algorithm for LSM is 2.91 %, which has good optimization performance.