Separation of solids from fluid is a vital process to achieve the desired level of purification in industry. Contaminant filtration is a common process in a variety of applications in industry. Clogging of filter phenomena is the primary failure mode leading to replacement or cleansing of filter. Reduced performance and efficiency or cascading failures are the unfortunate outcomes of a clogged filter. For instance, solid contaminants in fuel may lead to performance reduction in the engine and rapid wear in the fuel pump. This paper presents the development of an experimental rig to collect accelerated filter clogging data and a physics-based degradation model to represent the filter clogging. In the experimental rig, pressure drop across the filter, flow rate, and filter mesh images are acquired during the accelerated clogging experiments. The pressure drop across the filter due to deposition of suspended solids in the liquid is modelled and employed in the degradation modelling. Then, the physics based degradation model simulated using MatLab is compared with the real clogging data and the effectiveness of the degradation model is evaluated.
How to Cite
model-based prognostics, Filter Clogging, equipment degradation modeling
Carman, P. G. (1997), "Fluid flow through granular beds", Chemical Engineering Research and Design, vol. 75, no. 1 SUPPL., pp. S32-S46.
Cheremisinoff, N. P. (1998), Liquid Filtration , Second Edition ed, Elsevier Inc.
Eker, O. F., Camci, F. and Jennions, I. K. (2013), "Filter Clogging Data Collection for Prognostics", Proceedings of the Annual Conference of the Prognostics and Health Management Society, 14-17 Oct 2013, New Orleans LA, USA, pp. 624-632.
Ergun, S. (1952), "Fluid Flow through Packed Columns", Chemical Engineering and Processing, vol. 48, pp. 89-94.
Hamachi, M. and Mietton-Peuchot, M. (2001), "Cake thickness measurement with an optical laser sensor", Chemical Engineering Research and Design, vol. 79, no. 2, pp. 151-155.
Ni, L. A., Yu, A. B., Lu, G. Q. and Howes, T. (2006), "Simulation of the cake formation and growth in cake filtration", Minerals Engineering, vol. 19, no. 10, pp. 1084-1097.
Sparks, T. (2011), Solid-Liquid Filtration: A User's Guide to Minimizing Cost & Environmental Impact, Maximizing Quality & Productivity, First Edition ed, Elsevier Science & Technology Books.
Sutherland, K. (2010), "Mechanical engineering: The role of filtration in the machinery manufacturing industry", Filtration and Separation, vol. 47, no. 3, pp. 24-27.
Tien, C. and Ramarao, B. V. (2013), "Can filter cake porosity be estimated based on the Kozeny-Carman equation?", Powder Technology, vol. 237, pp. 233-240.
Tien, C. and Bai, R. (2003), "An assessment of the conventional cake filtration theory", Chemical Engineering Science, vol. 58, no. 7, pp. 1323-1336.
Wakeman, R. (2007), "Filter media: Testing for liquid filtration", Filtration and Separation, vol. 44, no. 3, pp. 32-34.
Wilfong, D., Dallas, A., Yang, C., Johnson, P., Viswanathan, K., Madsen, M., Tucker, B. and Hacker, J. (2010), "Emerging challenges of fuel filtration", Filtration, vol. 10, no. 2, pp. 107-117.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.