Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
INDIRECT ASSESSMENT OF THE TOOL TIP TEMPERATURE USING KALMAN FILTER
Submission Author:
Lúcio Sant'Anna Purri Miranda , MG
Co-Authors:
Lúcio Sant'Anna Purri Miranda, Hugo Lima, Alexandre Abrao, Antônio Maia
Presenter: Lúcio Sant'Anna Purri Miranda
doi://10.26678/ABCM.COBEM2021.COB2021-1298
Abstract
The cutting temperature is an important parameter in machining processes, having a direct influence on the tool wear, with effects such as plastic deformation of the tool and the quality of the workpiece. Due to its constant contact with the workpiece, the tool tip is inaccessible for temperature measurement using sensors such as a thermocouple. In turning, the most common way to determine the tool temperature is through the tool-workpiece thermocouple. This method is not highly accurate nor easy to be implemented. The main objective of this paper is to develop an algorithm based on Kalman filter to estimate the temperature at the tool tip, by combining a mathematical model made from a computer simulation and a temperature input on the insert of the tool. The Kalman filter consists in a statistical estimator used to combine data from sensors or mathematical models and remove noises and other uncertainties that may come from the sensors or the process itself. A routine written in MatLab was employed to process the data using the Kalman filter algorithm. As a result of this work, a state space description of the turning tool system was created, making it possible to use the Kalman filter algorithm to estimate the temperature of the tool tip with the input of a temperature measured at a lateral face of the insert. The temperature input was 93 ºC and the temperature of the tool tip indirectly measured was 360 ºC.
Keywords
Temperature, Tool tip, Indirect measurements, Kalman Filter, Simulation
