Creation of CNC system’s components for monitoring machine tool health
| Autor: | Liliya Martinova, Aleksandr B. Ljubimov, Ilya Kovalev, Nikolay V. Kozak |
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| Rok vydání: | 2021 |
| Předmět: |
Structure (mathematical logic)
0209 industrial biotechnology Operability business.product_category business.industry Computer science Process (engineering) Project commissioning Mechanical Engineering Cloud computing 02 engineering and technology Industrial and Manufacturing Engineering Manufacturing engineering Computer Science Applications Machine tool 020901 industrial engineering & automation Machining Control and Systems Engineering Numerical control business Software |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 117:2341-2348 |
| ISSN: | 1433-3015 0268-3768 |
| DOI: | 10.1007/s00170-021-07107-1 |
| Popis: | The article proposes a model of the components of the subsystem for evaluating and monitoring the health of a CNC machine. A distinctive feature of the presented solution is that it is not limited to collecting diagnostic information from technological equipment and drawing up reports. Methods for the analysis of information have been developed that allow to determine the moment when the technical indicators of the machine mechanisms approach the permissible deviation or go beyond it, so that a decision can be made in a timely manner to maintain the machine’s operability and to exclude equipment breakdown. When constructing models of machine components, it is envisaged to use information obtained at different stages of the life cycle of a CNC machine, including such stages as design, manufacture, installation, and commissioning. In the structure of the remote monitoring system, the main components are highlighted in the form of specialized gateways for collecting data and cloud services for storing and analyzing the results. The performance check of the proposed solutions was carried out in the process of manufacturing parts on a 5-coordinate milling and machining center. |
| Databáze: | OpenAIRE |
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