Joint bearing contact surfaces of high-tech precision machinery applied particularly in the manufacturing industry undergo varying range of extreme temperature and pressure conditions, which subject them to frictional wear, tear and stress during operation in different environments of application. A continuous assessment of their resilient capacities is therefore necessary to avoid operational failure of core base component parts. The aim of this study is to assess the effects of multi-surface treatment and texturing processes on the frictional and stress performance of aluminum based self-lubricating joint bearing under grease condition. Using ANSYS software based on the Hertz contact theory and Boussinesqmodel for numerical simulations of rated static load contact, the study showed that under dry friction and grease lubrication, PTFE/ardex pad stabilizes the surface friction coefficient and effectively reduces the friction coefficient. Again, the friction coefficient of the aluminum self-lubrication increases with the texture share and the sample with 15% share shows the lowest friction coefficient (0.114), under lipid lubrication conditions. It is recommended for future research to conduct a wobble (transient dynamics) and thermodynamic analysis for the model, and attempt to optimize the friction resistance of self-lubricating joint bearing by adjusting the deposition process parameters like current value, temperature and element contact.
<p>This study was carried out to identify which factors are most relevant to managers of SMEs in maintenance decision making, and to investigate how these factors influence the realization of business goals satisfactorily, using structural equation modelling, partial least square design (PLS-SEM) to establish significant relationships between manifest and latent variables. A study of maintenance cost vis a vis the number of maintenance works carried out and profits realized was conducted to ascertain correlations and identify which factors played key roles in profit maximization. Results showed that with increasing level of maintenance for SMEs, profit margins reduced significantly. Also, an R<sup>2</sup> value of 0.83 showed that the latent variable, business goal satisfaction was explained to a high degree (83%) by the manifest variables. Rentals of equipment from third parties (0.27), halting production (0.11) and outsourcing (0.39) were less considered for business sustainability per correlation coefficients than funds (0.79), and the possibilities to carry out both corrective (0.64) and preventive (0.58) maintenance works. F-square value greater than zero was realized (0.387) and this showed reliability of the both inner and outer models. These findings can be used in building a decision tool or framework that will best suit SMEs with high financial budget constraints.</p>
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