Hybrid modeling with finite element and statistical methods for residual stress prediction in peripheral milling of titanium alloy Ti-6Al-4V

Modeling and simulation of the high-speed milling of hardened steel SKD11 (62 HRC) based on SHPB technology

“…With a further increase in cutting speed, the stress and strain in the shear band also increase, and the degree of serration of the chip increases, which is supported by the literature [4]. However, there is a difference between the values of strain obtained from FEA and those obtained from a theoretical geometric model in the literature [4] (shear strain: [15][16][17][18][19][20][21][22][23][24][25]. A possible explanation is that the material strain rate for the SHPB is lower than that in high-speed cutting, which means the material deformation is greater and the shear slip is more obvious in highspeed cutting than for the SHPB, as shown in Fig.…”

“…This means that the conventional empirical J-C constitutive equation no longer fits the flow stress of SKD11 hardened steel in highspeed cutting, and the J-C constitutive equation should be modified. Furthermore, to reduce the simulation time and assist the investigation of the chip shape, cutting force, and stress and strain in deformation zones, because of the similar chip-sectional shapes and cutting characteristics in 3D peripheral milling and 2D orthogonal cutting [13][14][15][16], the present paper provides a simplified 2D FE model based on the modified J-C constitutive equation for chip formation during the high-speed milling of SKD11 hardened steel. The model will also benefit the prediction of the cutting force and cutting temperature and the evaluation of the cutting performance of cutting tools.…”

Investigation of High-Speed Cryogenic Machining Based on Finite Element Approach

“…Most of the simulations aimed at obtaining the amount of residual stress and strain (Tounsi and El-Wardany (2015), Yang et al (2016), Mahmoodi-k et al (2014)), temperature distribution (Healy et al (2015), Pittalà and Monno (2011)), and deformation of chip and predict the forces of machining (Khoshdarregi and Altintas (2013), Molnár et al (2015), Wu et al (2015). Yildiz et al (2008), have been examined the studies in the field of cryogenic cooling method in machining processes and concluded that this approach can be used for various metals, including hard and soft metals, non-ferrous metals and non-metallic materials and composites.…”

Semi-Empirical Prediction of Residual Stress Distributions Introduced by Turning Inconel 718 Alloy Based on Lorentz Function

“…Compared with the numerical method, the analytical method is time-saving, but the analytical method has made many simplifications in the prediction process, and is only suitable for the prediction of the residual stress in 2D turning [ 19 ]. The semi-empirical method utilizes the function fitting simulated or experimental data to obtain the function expression of machining residual stress distribution [ 20 , 21 , 22 ], which is helpful to study the converse depth of tensile and compressive residual stress and the amplitude and location of the maximum peak compressive residual stress in surface and subsurface.…”