Monitoramento em tempo real do desgaste da ferramenta no processo de torneamento por meio da medição da corrente elétrica utilizando internet das coisas

Abstract

This study aims to develop a real-time tool wear monitoring system during the roughing operation in the turning process, utilizing the measurement of electrical current from the machine's spindle motor through the Internet of Things (IoT). While there are several methods for measuring wear, real-time measurement methods make the process more efficient as there is no need to interrupt the machine to assess wear. The initial chapters of this work include a literature review on turning, types, and measurement methods of cutting tool wear. Additionally, theoretical concepts and resources used for the development of IoT devices are explored. Subsequently, the materials and methods employed to conceive this research are presented, including the work methodology, the development of the data acquisition board, and the materials, equipment, and methods used in the experiments. The results demonstrate that the proposed solution for the data acquisition system, utilizing microcontrollers, cloud computing, and resources such as InfluxDB and Grafana, was capable of diagnosing tool wear during the roughing process.