Simplification of the rolling contact-related lifetime calculation of profiled rail guides with a polynomial regression

• Autorzy: Staroszyk Danny , Müller Jens , Ihlenfeldt Steffen

Identyfikatory

DOI

10.36897/jme/186130

• Języki publikacji: EN

Abstrakty

EN

The calculation of the lifespan of profile rail guides is an essential part in the design process of machines. Conventional lifespan models yield good results when calculating lifespan values under a homogeneous distribution of individual rolling contact forces on the raceways. In the case of an uneven load distribution, significantly too low lifespan values are calculated, resulting in a considerable loss of lifetime potential. The novel and experimentally validated rolling contact-based lifespan calculation (RCBL) takes the transferred force on each rolling element into account, resulting in more realistic lifespan values that can be up to 4 times higher than those obtained through the classical method. The disadvantage lies in the complex calculation of the necessary individual rolling contact forces, which until now has been done by using extensive finite element models, along with the computationally intensive optimization problem of the RCBL. To overcome these disadvantages, a method is introduced that efficiently calculates the individual rolling contact forces, taking into account all relevant system elasticities, and pre-solves the RCBL for a variety of potential superimposed load combinations. The results are subsequently approximated through an analytical multiparametric polynomial function and can be utilized with the conventional lifespan formula for rolling bearings.

Słowa kluczowe

EN

profiled rail guide; rolling contact related lifetime calculation; multiparametric polynomial regression

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2024
• Tom: Vol. 24, No. 1
• Strony: 60--73
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Staroszyk Danny

• Faculty of Mechanical Engineering, Institute of Mechatronic Engineering, TU Dresden, Germany

• https://orcid.org/0009-0002-9467-725X

autor

Müller Jens

• Faculty of Mechanical Engineering, Institute of Mechatronic Engineering, TU Dresden, Germany

autor

Ihlenfeldt Steffen

• Faculty of Mechanical Engineering, Institute of Mechatronic Engineering, TU Dresden, Germany
• Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU, Fraunhofer Gesellschaft, 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).