Monitoring of microturning process using acoustic emission signals

  • Sergio Luiz Moni Ribeiro Filho
  • Juliano Aparecido de Oliveira
  • Carlos Henrique Lauro
  • Lincoln Cardoso BrandãoEmail author
Technical Paper


The great challenge of modern industry is to carry out an online prediction in the shop floor during the machining to define the exact tool breakage instant and simultaneously improve the quality of manufactured products. Acoustic emission sensors have been used to monitoring traditional and non-traditional machining processes. This work shows a study of the online monitoring in the microturning process using an acoustic emission sensor. A factorial design was performed to examine the effect of the feed rate, depth of cut, cooling system, and the type of tool on the response acoustic emission signal. Moreover, the acoustic emission signal was correlated with surface roughness and microhardness. The results showed that the acoustic emission signals are sensitive with the progressive increase in surface roughness and the microhardness.


Microturning Microhardness Acoustic emission Surface roughness 



The authors would like to thank the CNPq—National Research Council by financial support Grant Number 303431/2016-4 and Sandvik Coromant Company for supplying the tools.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest.


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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Centre for Innovation in Sustainable ManufacturingFederal University of São João del ReiSão João del-ReiBrazil

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