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Monitoring of Machining in the Cloud as a Cost Management Service and Follow of Cutting Parameters: Environment Developed With IoT Tools

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  • Ferney-Alexis Giraldo-Castrillon

    (EAFIT University, Production Engineering, Research Group Technologies for Production, Medellín, Colombia)

  • Gabriel-Jaime Páramo-Bermúdez

    (EAFIT University, Production Engineering, Research Group Technologies for Production, Medellín, Colombia)

  • Juan-Manuel Muñoz-Betancur

    (EAFIT University, Production Engineering, Research Group Technologies for Production, Medellín, Colombia)

Abstract

The present work developed an environment in the cloud with IoT tools for the intelligent monitoring of cutting processes in a three-axis CNC machine. To achieve it, a group of sensors incorporated into the machine are connected to a data acquisition card in charge of sending the measurements delivered by the sensors to the IoT environment in the cloud. The data received was processed in real-time, and at the end of the machining, an automatic report was generated that includes: the cost of the operation, total process time, average energy consumption in watts, and positions of the X, Y, Z axes in function of time. The findings of this study bypass production managers from developing a processes sheet, reducing fabrication time, and increasing productivity. The architecture of the system was put to the test raising two case studies, which demonstrate the relevance and the significant impact of the platform in the new era of digital manufacturing.

Suggested Citation

  • Ferney-Alexis Giraldo-Castrillon & Gabriel-Jaime Páramo-Bermúdez & Juan-Manuel Muñoz-Betancur, 2019. "Monitoring of Machining in the Cloud as a Cost Management Service and Follow of Cutting Parameters: Environment Developed With IoT Tools," International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), IGI Global, vol. 9(3), pages 26-41, July.
  • Handle: RePEc:igg:jmmme0:v:9:y:2019:i:3:p:26-41
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    Cited by:

    1. Loske, Dominik & Klumpp, Matthias, 2020. "Simulating the impact of digitalization on retail logistics efficiency," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 77-111, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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