MODELLING GREASE RETENTIVITY FOR INTELLIGENT LUBRICATION SYSTEM

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201014" target="_blank" >RIV/00216305:26210/26:0201014 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

MODELLING GREASE RETENTIVITY FOR INTELLIGENT LUBRICATION SYSTEM

Popis výsledku v původním jazyce

This study investigates the retentivity of grease lubricants for wheel-rail flange contacts, focusing on the effects of load, slide-to-roll ratio, speed and grease quantity. Experiments were conducted using a Mini-Traction Machine in a ball-on-disk configuration. Material selection of bearing steel ensured stable contact conditions and minimized wear, enabling reproducible measurements. The results reveal that both load and slide-to-roll ratio reduce grease retentivity following a decaying power-law relationship, with similar decay exponents indicating that mechanical energy input governs lubricant depletion. Speed exhibits a dual effect: increasing speed decreases time-based retentivity but enhances sliding distance-based retentivity, consistent with elastohydrodynamic lubrication film thickness assumption. Additionally, grease quantity positively correlates with retentivity, where insufficient lubricant leads to rapid loss of friction-reducing performance. These findings provide critical insights into lubricant behavior and will be integrated with lubricant redistribution models and train line simulations to develop a digital twin for predicting lubricant effectiveness across rail networks. This combined experimental and modelling approach advances the optimization of flange lubrication strategies, ultimately improving rail system reliability, wear resistance, and energy efficiency.

Název v anglickém jazyce

MODELLING GREASE RETENTIVITY FOR INTELLIGENT LUBRICATION SYSTEM

Popis výsledku anglicky

This study investigates the retentivity of grease lubricants for wheel-rail flange contacts, focusing on the effects of load, slide-to-roll ratio, speed and grease quantity. Experiments were conducted using a Mini-Traction Machine in a ball-on-disk configuration. Material selection of bearing steel ensured stable contact conditions and minimized wear, enabling reproducible measurements. The results reveal that both load and slide-to-roll ratio reduce grease retentivity following a decaying power-law relationship, with similar decay exponents indicating that mechanical energy input governs lubricant depletion. Speed exhibits a dual effect: increasing speed decreases time-based retentivity but enhances sliding distance-based retentivity, consistent with elastohydrodynamic lubrication film thickness assumption. Additionally, grease quantity positively correlates with retentivity, where insufficient lubricant leads to rapid loss of friction-reducing performance. These findings provide critical insights into lubricant behavior and will be integrated with lubricant redistribution models and train line simulations to develop a digital twin for predicting lubricant effectiveness across rail networks. This combined experimental and modelling approach advances the optimization of flange lubrication strategies, ultimately improving rail system reliability, wear resistance, and energy efficiency.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů