Monitoring tool wear and surface roughness in the face milling process of high-strength compacted graphite cast irons
| Autor: | Cármen Andrade, Pedro Henrique Pires França, Álisson Rocha Machado, Wilson Luiz Guesser, R. B. Da Silva, L. R. R. da Silva |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Materials science Mechanical Engineering Applied Mathematics Machinability Metallurgy General Engineering Aerospace Engineering chemistry.chemical_element 02 engineering and technology Signal Industrial and Manufacturing Engineering 020901 industrial engineering & automation chemistry Machining Automotive Engineering Kurtosis Surface roughness Graphite Tin Root-mean-square deviation |
| Zdroj: | Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43 |
| ISSN: | 1806-3691 1678-5878 |
| DOI: | 10.1007/s40430-021-02897-7 |
| Popis: | The identification and monitoring state variables in the machining process are one of the best methods to increase machinability. This study evaluated the use of different signal analysis parameters for a vertical machining center's electric current input during the milling process of three different high-strength compacted graphite cast irons. The machinability was initially assessed in relation to the tool life and workpiece surface roughness, for two levels of the surface condition of the workpiece (solid and with pre-holes), machining atmospheres (dry and MQL), and tool coatings (TiN and TiAlN). The output variables (tool life and surface roughness) were then correlated with the electric current using the signal variance, mean square deviation, skewness and kurtosis. Despite the amplitude signal parameters presenting the best performance regarding the monitoring of the process, the use of alternative parameters such as skewness and kurtosis proved to be effective to identify the workpiece surface condition. |
| Databáze: | OpenAIRE |
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