Open AccessA Contribution to the Thermal Field Evaluation at the Tool-Part Interface for the Optimization of Machining Conditions
Author(s) -
Nasreddine Benhadji Serradj,
Abdelillah Djamal Kara Ali,
M. E. A. Ghernaout
Publication year - 2021
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4235
Subject(s) - machining , mechanical engineering , taguchi methods , interface (matter) , field (mathematics) , process (computing) , thermal , computer science , carbide , engineering , materials science , mathematics , machine learning , physics , composite material , bubble , maximum bubble pressure method , parallel computing , meteorology , pure mathematics , operating system
In this study, an experimental measurement methodology is implemented that allows obtaining consistent temperature data during the turning operation of semi-hard C20 steel using SNMG carbide insert, allowing us to have better control at the tool-part interface. The interactions of the phenomena influencing the cut led our choices on the development of a correlation model for the analysis and prediction of the relationships between the machining parameters by measurement of the temperature. The measurement procedure implemented for the temperature estimate is based on the use of an FLIR A325sc type infrared camera mounted and protected by a device on the machine tool. The Taguchi method was chosen to find the relationships between the input factors (cutting speed (Vc), feed rate (a), depth of cut (p)), and the output factor (temperature (T)). In the future, we will develop a numerical validation model to simulate the machining process in order to predict temperatures