Cloud based cutting tool load monitoring and control system
Journal Title: Proceedings in Manufacturing Systems - Year 2019, Vol 14, Issue 1
Abstract
This paper presents a cloud based cutting tool load monitoring and control system for machining of functionally graded metal materials. This is a cutting tool load control system which connects the computing and service resources in the cloud with the physical resources in the factory level and thus forming a cyber-physical monitoring system (CPMoS) for milling. The two level CPMoS with the ability to connect the cyber world with the physical world via sensors and actuators is realized in order to maintain the cutting tool load constant by digital adaptation of machining parameters. The CPMoS provides a novel way to compensate all disturbances during the cutting process by controlling the cutting tool loads through cloud technologies. The cloud part of the CPMoS performs seven actions: sensing, information processing, edge computing, tool load data analysis and modeling, supervised monitoring, data visualization and process correction. An artificial neural network is applied to precisely model and in-process estimate the maximal and average tool loads. The physical layer consist of a CNC machine tool, piezoelectric dynamometer and local terminal which acquire, pre-process and transmit the signals from the dynamometer to the IoT gateway in the cloud platform. The special interest of future activities is to perform machining experiments in order to test the feasibility of the CPMoS for tool load monitoring in end-milling
Authors and Affiliations
Uros Zuperl, Miha KOVACIC
Keywords
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