A new grey box approach for friction modelling of machine tool drives

• Autorzy: Rüppel Adrian Karl , Meurer Markus , Bergs Thomas

Identyfikatory

DOI

10.36897/jme/186269

• Języki publikacji: EN

Abstrakty

EN

Measurement of the process force in milling is usually conducted by using piezo-electric dynamometers which are costly and reduce the stiffness of the system. A less invasive alternative is an indirect estimation of cutting forces based on the power of the servo drives. However, a correction of frictional effects from the transmission system is necessary to achieve accurate results. Most machine tools are equipped with ball-screw drives whose friction behavior is highly nonlinear due to dependency on both velocity and position. This study provides a novel approach to consider all frictional and inertial effects in transmission behavior of ball-screw drives by utilizing the well-established generalized MAXWELL slip (GMS) model and combines it with a data-based approach, namely support vector regression (SVR). The approach acquires the internal states of the GMS model and uses them as an additionnal input for the SVR. The model is validated on different experiments conducted on a five-axis machining center and compared to established friction models, as well as a sole SVR. The results show the model to have errors between 7% and 12% over the full working range of the x- and y-axes, respectively, outperforming the benchmark models significantly.

Słowa kluczowe

EN

milling; force estimation; friction modeling

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2024
• Tom: Vol. 24, No. 1
• Strony: 5--16
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Rüppel Adrian Karl

• Manufacturing Technology Institute (MTI), RWTH Aachen University, Germany

autor

Meurer Markus

• Manufacturing Technology Institute (MTI), RWTH Aachen University, Germany

autor

Bergs Thomas

• Manufacturing Technology Institute (MTI), RWTH Aachen University, Germany
• Fraunhofer Institute for Production Technology (IPT), Germany

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).