Abstract
The article deals with the adaptive control algorithm of the metalworking industrial process systems operation, based on the comparison of the machining time of the part required by the process and the forecast of the actual resource of the tool. The forecast is carried out continuously during the entire period of the machining of the part by means of the specially developed for this software. The program implements the method of the parametric identification of the mathematical model of the sound trend, accompanying the metalworking process.
The sound is recorded via a microphone, which is installed near the cutting area. Incommensurability of the distance from the microphone to the source of the useful signal of cutting to the noise disturbance of the surrounding equipment operation, greatly reduce the distorting influence of this noise disturbance on the forecasting results. Contactless sound recording method allows also to avoid the drawbacks, the contact techniques of the vibrations measurements or the acoustic emission, traditionally used in the adaptive control.
The considered in the article adaptive control algorithm allows to use exhaustively the cutting properties of the tool and the operational capabilities of the machine, while ensuring the required quality of the manufacturing of a part.
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Nahornyi, V., Aleksenko, O., Fedotova, N. (2016). Adaptive Control of the Metalworking Technology Systems Operation Based on the Forecast of the Actual Resource of the Cutting Tool. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_15
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DOI: https://doi.org/10.1007/978-3-319-46254-7_15
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