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Technical Brief

Identification of the actual process parameters for finishing operations in peripheral milling

[+] Author and Article Information
Erardo Leal-Muñoz

Departamento de Ingeniería Mecánica, Universidad de La Frontera, Temuco, Chile; Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, Madrid, España
erardo.leal@ufrontera.cl

Eduardo Diez

Departamento de Ingeniería Mecánica, Universidad de La Frontera, Temuco, Chile
eduardo.diez@ufrontera.cl

Hilde Perez

Departamento de Ingenierías Mecánica, Informática y Aeroespacial, Universidad de León, León, España
hilde.perez@unileon.es

Antonio Vizan

Departamento de Ingeniería Mecánica, Universidad Politécnica de Madrid, Madrid, España
avizan@etsii.upm.es

1Corresponding author.

ASME doi:10.1115/1.4039917 History: Received December 19, 2017; Revised April 03, 2018

Abstract

The evolution of the manufacturing industry has favoured the use of new technologies that increase the level of autonomy in production systems. The work presented shows a methodology that allows for online estimation of cutting parameters based on the analysis of the cutting force signal pattern. The dynamic response of the tool is taken into account through a function that relates the response time to the input variables in the process. The force signal is obtained with a dynamometric platform based on piezoelectric sensors. The final section of the paper shows the experimental validation where machining tests with variable machining conditions were carried out. The results reveal high precision in the estimation of depths of cut in end milling.

Copyright (c) 2018 by ASME
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