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Stochastic Modeling of the Cutting Force in Turning Processes by Gergő Fodor; Henrik T Sykora; Dániel Bachrathy is a Engineering article available to read on EtoBox.

What is Stochastic Modeling of the Cutting Force in Turning Processes about?

## Abstract The main goal of this study is to introduce a stochastic extension of the already existing cutting force models. It is shown through orthogonal cutting force measurements how stochastic processes based on Gaussian white noise can be used to describe the cutting force in material removal processes. Based on these measurements, stochastic processes were fitted on the variation of the cutting force signals for different cutting parameters, such as cutting velocity, chip thickness, and rake angle. It is also shown that the variance of the measured force signal is usually around 4–9% of the average value, which is orders of magnitudes larger than the noise originating from the measurement system. Furthermore, the force signals have Gaussian distribution; therefore, the cutting force model can be extended by means of a multiplicative noise component.

Who reads Stochastic Modeling of the Cutting Force in Turning Processes?

Author

Gergő Fodor; Henrik T Sykora; Dániel Bachrathy

Publisher

Springer; Springer-Verlag; Springer Verlag; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0268-3768)

Published

2020

Language

EN

Field

Engineering (Physical Sciences)