Search
Now showing items 1-9 of 9
An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152
(Elsevier Ltd., 2018)
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting ...
In-SEM micro-machining reveals the origins of the size effect in the cutting energy
(Springer Nature, 2021)
High-precision metal cutting is increasingly relevant in advanced applications. Such precision normally requires a cutting feed in the micron or even sub-micron dimension scale, which raises questions about applicability ...
Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V
(Elsevier Ltd., 2021)
Finite Element Modelling used to predict machining outcomes needs to be supplied with the appropriate material thermomechanical properties which are obtained by specific testing devices and methodologies. However, these ...
Sensitivity analysis of the input parameters of a physical based ductile failure model of Ti-6Al-4V for the prediction of surface integrity
(Elsevier Ltd, 2020)
In machining of Ti-6Al-4V, it is commonly reported the appearance of segmented chip produced by adiabatic shearing (at high cutting speeds) and lack of ductility (at low cutting speeds). Moreover, machining is a manufacturing ...
Surface drag analysis after Ti-6Al-4V orthogonal cutting using grid distortion
(Elsevier Ltd, 2020)
Surface integrity directly affects the mechanical behavior of the workpiece, which is especially relevant on fatigue behavior. To characterize the quality of the machined surface, aspects such as material damage, roughness ...
Advanced measurement techniques to improve predictive modelling of cutting processes by using inverse simulation
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
Machining is one of the most widely employed manufacturing operations, contributing from 3 to 10% of GDP in developed countries. Despite this prevalence, tools and cutting conditions are often chosen on a trial-and-error ...
Inverse Identification of the Ductile Failure Law for Ti6Al4V Based on Orthogonal Cutting Experimental Outcomes
(MDPI, 2021)
Despite the prevalence of machining, tools and cutting conditions are often chosen based on empirical databases, which are hard to be made, and they are only valid in the range of conditions tested to develop it. Predictive ...
Methodology to establish a hybrid model for prediction of cutting forces and chip thickness in orthogonal cutting condition close to broaching
(Springer Nature, 2019)
Broaching is a widely used finishing operation for the manufacturing of transmission gears which are commonly made of steel AISI 1045. Therefore, there is a high interest for industry to understand the metal cutting process ...
Adiabatic self-heating determination for Ti6Al4V at different temperatures
(Elsevier, 2023)
Nowadays, numerical models are one of the most widely used techniques to predict material performance subjected to different manufacturing processes. However, to obtain accurate predictions, these models require reliable ...
