Conception of a Durability Prediction Method for a Metal-elastomer Machine Mount

• Autorzy: Sikora Wojciech , Pilch Robert , Smolnik Maksymilian

Identyfikatory

DOI

10.12913/22998624/170978

• Języki publikacji: EN

Abstrakty

EN

Elastic elements utilised in the support systems of machines are subjects to deterioration processes dependent on the character of their operational loads, work environment and construction. The extent of this change and work time after which it occurs is important information in the maintenance process, necessary for its planning. This paper presents the developed concept of durability prediction method of a four-joint metal-elastomer machine support based on the variation of working temperature of its elastomer elements. Therefore, the solution enables the estimation of significant indexes determining the life cycle of the mount. The developed simulation model is a useful tool for designers, allowing them to estimate the time of the machine mount’s correct work. It also helps the operator to schedule the inspections of technical condition (degree of wear) of the machine mount and prepare its replacement operations accordingly. This problem is significant because any failure to an element usually generates higher costs than carrying out a scheduled preventive replacement.

Słowa kluczowe

EN

durability estimation; elastic mount; random process; designing; maintenance

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2023
• Tom: Vol. 17, no 5
• Strony: 28--40
• Opis fizyczny: Bibliogr. 36 poz., fig., rys.

Twórcy

autor

Sikora Wojciech

• AGH University of Krakow

• https://orcid.org/0000-0002-2953-5653

autor

Pilch Robert

• AGH University of Krakow

• https://orcid.org/0000-0003-2342-5776

autor

Smolnik Maksymilian

• AGH University of Krakow

• https://orcid.org/0000-0003-0753-5190

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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).