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Impedance-Based PZT Transducer and Fuzzy Logic to Detect Damage in Multi-point Dressers

  • Pedro O. JuniorEmail author
  • Doriana M. D’Addona
  • Felipe A. Alexandre
  • Rodrigo Ruzzi
  • Paulo R. Aguiar
  • Fabricio G. Baptista
  • Eduardo C. Bianchi
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Alternative techniques such as impedance-based lead zirconate titanate (PZT) transducers has emerged as an innovative approach for manufacturing monitoring process, because its flexibility of using low-cost piezoelectric diaphragms and its simple methodology in terms of apparatus by using the electromechanical impedance (EMI). In addition, this technique has been under several improvements due to the advance of artificial intelligent systems. On this point, the use of fuzzy logic systems has been reported in literature as an attractive combination to improve the process performance. Therefore, this study proposes an approach to detect damage in multi-point dresser based on EMI technique incorporating a fuzzy logic system. To this end, a fuzzy model is built considering the information obtained from representative damage indices corresponding to the different damage cases that are generated at the dresser. At the end, authors expected that the dressing operation can be optimized, preventing the operation from being performed with worn or damaged dressers and ensuring quality standards and precision to the grinding process, which have a high benefit to the manufacturing chain.

Keywords

Electromechanical impedance PZT transducers Fuzzy logic Tool condition Grinding process 

Notes

Acknowledgments

The authors would like to thank the Sao Paulo Research Foundation (FAPESP), under grant #2016/02831-5 and grant #2017/16921-9 for supporting this research work.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Pedro O. Junior
    • 1
    Email author
  • Doriana M. D’Addona
    • 2
  • Felipe A. Alexandre
    • 1
  • Rodrigo Ruzzi
    • 1
  • Paulo R. Aguiar
    • 1
  • Fabricio G. Baptista
    • 1
  • Eduardo C. Bianchi
    • 1
  1. 1.Department of Electrical and Mechanical Engineering, Bauru School of EngineeringSao Paulo State University (UNESP)BauruBrazil
  2. 2.Department of Chemical, Materials and Industrial Production EngineeringUniversity of Naples Federico IINaplesItaly

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