Year: 2014
Type: article
Abstract: Original scientific paperThis paper describes a fast Fourier transformation and its application to monitoring tool wear.It describes the transformation of the collected signal during cutting from the time domain to the frequency.The introduction describes the discrete Fourier transform, DFT deficiency observed in a large number of samples.Therefore, its use in this case is fast Fourier transform.As an example, an indirect method for monitoring tool wear is shown, based on the measurement values of process variables (acoustic emission) and the relationship between tool wear and these values.Tool wear monitoring is a difficult task because many machining processes are non-linear time-variant systems, which makes them difficult to model and the signals obtained from sensors are dependent on a number of other factors, such as machining conditions.
Authors: Miroslav Duspara, Kristian Sabo, Antun Stoić
Institution: University of Osijek
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2120489767