publication . Article . 2019

Inferential measurement of the dresser width for the grinding process automation

Ferreira, Fabio Isaac; de Aguiar, Paulo Roberto; Lopes, Wenderson Nascimento; Martins, Cesar Henrique Rossinoli; Ruzzi, Rodrigo de Souza; Bianchi, Eduardo Carlos; D’Addona, Doriana Marilena;
Open Access
  • Published: 25 Feb 2019
  • Publisher: Springer Science and Business Media LLC
  • Country: Brazil
Abstract
Made available in DSpace on 2019-10-06T16:02:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-02-25 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Dressing is an essential process for the machining industries. The grinding community keeps the slogan “grinding is dressing,” given the importance of this reconditioning process. This paper presents a methodology for forecasting the dresser width one step forward by using indirect monitoring. The dresser width is an important parameter to guarantee the quality of the dressing process and, in many cases, it is monitored directly by the operators. Acoustic emission signals were collected d...
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Subjects
free text keywords: Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering, Acoustic emission, Artificial neural networks, Dressing operation, Inferential measurement, Tool wear condition, Automation, business.industry, business, Acoustic emission, Machining, Operator (computer programming), Grinding process, Computer science, Grinding, Automotive engineering, Artificial neural network
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