Studied validation of finite element modeling for titanium alloy (Ti–6Al–4V) at face milling

Abstract

BackgroundDue to its qualities, There is a lot of use of the titanium alloy (Ti–6Al–4V) in gas turbines and other aero engines. It is difficult to determine machining parameters such cutting force, temperature, and surface roughness, and it is difficult to calculate these values using analytical methods. The finite element method (FEM) is a particularly useful platform for studies since it predicts the machining parameters. MethodsThe advantage of this method is taken for the purpose of linking the mechanical and thermal equations based on a step of the dynamic, temperature-displacement, explicit of the Lagrangian formulation in a new model that is fully thermomechanically connected. Three mesh areas were created for optimizing the cutting zone during the cutting simulation process. The machining process by using a face milling tests was carried out. There are two variable factors of cut such as feed rate, cutting speed are created randomly when depth is a constant parameter. High-speed camera used to capture the machining process which determines the important details of spark generated. Findings and interpretationThere is a very excellent agreement between the experimental data and the simulation results from the finite element modeling (FEM). By raising the feed rate in the cutting zone, the cutting temperature can be raised and a spark can be generated. This led to the conclusion that surface roughness trends can be predicted using feed cutting force measurements. Surface roughness rose in direct proportion to the magnitude of the feed cutting force, and vice versa.