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Lubrication flow in grinding

Crowson, Zak; Billingham, John; Houston, Paul

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Authors

John Billingham

Professor PAUL HOUSTON PAUL.HOUSTON@NOTTINGHAM.AC.UK
Head of School (Professor of Computational and Applied Maths)



Abstract

In the machining process known as grinding, fluid is applied to regulate the temperature of the workpiece and reduce the risk of expensive thermal damage. The factors that influence the transport of this grinding fluid are not well understood; however, it is important to gain understanding in order to try to avoid the unnecessary cost incurred from its inefficient application. In this work, we use the method of matched asymptotic expansions to derive the multiscale system of equations that governs the flow. Under the lubrication approximation, we show that it is possible to calculate the flow rate through the grinding zone without having to solve for the flow far from the grinding zone. Additional empirically determined boundary conditions do not need to be imposed. With this lubrication model, we quantify the effect of experimental parameters on the flow field in the grinding zone and study how the flow regime responds to changes in these parameters.

Citation

Crowson, Z., Billingham, J., & Houston, P. (2024). Lubrication flow in grinding. Journal of Engineering Mathematics, 147(1), Article 12. https://doi.org/10.1007/s10665-024-10383-x

Journal Article Type Article
Acceptance Date Jul 3, 2024
Online Publication Date Jul 25, 2024
Publication Date Aug 1, 2024
Deposit Date Jul 5, 2024
Publicly Available Date Jul 25, 2025
Journal Journal of Engineering Mathematics
Print ISSN 0022-0833
Electronic ISSN 1573-2703
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 147
Issue 1
Article Number 12
DOI https://doi.org/10.1007/s10665-024-10383-x
Keywords Reynolds equation, Matched asymptotic expansions, Grinding, Lubrication
Public URL https://nottingham-repository.worktribe.com/output/36875671
Publisher URL https://link.springer.com/article/10.1007/s10665-024-10383-x
Additional Information Received: 1 March 2024; Accepted: 3 July 2024; First Online: 25 July 2024; : ; : The authors declare no competing interests.

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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/

Copyright Statement
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.





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