Desenvolvimento de um sistema de baixo custo para o monitoramento do desgaste de ferramenta de corte via corrente elétrica
In machining processes, the premature replacement of cutting tools generates additional costs to the process and, when changed late, tool wear compromises surface quality and dimensional tolerances of the workpiece. In industry, the wear control of cutting tools is performed by estimation, by statis...
| Autor principal: | Souza, Lucas Melegari de |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/12314 |
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| Resumo: |
In machining processes, the premature replacement of cutting tools generates additional costs to the process and, when changed late, tool wear compromises surface quality and dimensional tolerances of the workpiece. In industry, the wear control of cutting tools is performed by estimation, by statistical methods or directly performed. However, these predictions are imprecise and labor-intensive, and take time out of the process to accomplish them. The present work proposes a low cost indirect monitoring system using an Arduino board integrated with a current sensor SCT 013-00-00, an SD Card module and an RTC DS3231 module that perform the measurement and storage, as function of time, of the directly collected current values on the power cable of the machine tool. The purpose of this system is to correlate electric current with maximum flank wear (VBmax) using a 10% Co high speed steel cutting tool in the SAE 4140 steel turning process. A short duration test with constant cutting parameters was performed, and images of the wear marks were recorded by means of a Zeiss Axio model microscope, with further image processing using the free software Image J. From the data collected for electric current, from mean roughness measurements (Ra) and values of wear, correlation models were obtained between wear and electric current as well as wear and average roughness. The correlation model of the average roughness (Ra) showed to be more limited when compared to the electric current model. An increase of 11% in the average electric current was observed between the new tool and the end of life. |
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