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Predicting and preventing wear in pipe bends: Basic information for choosing a cost-effective wear protection solution

Predicting and preventing wear in pipe bends: Basic information for choosing a cost-effective wear protection solution

Bradley, M., Farnish, R. and Deng, T. (2012) Predicting and preventing wear in pipe bends: Basic information for choosing a cost-effective wear protection solution. Bulk Solids Handling, 32 (4). pp. 26-31. ISSN 0173-9980

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Abstract

Experts have provided some basic information needed for selecting a cost-effective wear protection solution for pipe bends. These experts have reviewed the common sites and causes of conveying pipeline wear, and show that it is possible to select a wear protection solution with the latest technology for characterizing the erosiveness, which gives cost-effective protection. The main mechanism of pipeline wear is the collisions between particles and pipe wall, specifically at bends. One of the main keys to mitigating wear involves understanding the effect of particle velocity, which is closely related to air velocity. The energy expended in a collision is a direct function of the velocity beforehand. The degree of wear depends on the mechanical properties, shape and size of the particles, and the mechanical properties and geometry of the pipe wall. The dense phase approach has gained popularity in overcoming the problem of wear in pipe bends effectively.

Item Type: Article
Uncontrolled Keywords: air velocities, cost-effective protection, dense phase, direct functions, in-pipe, latest technology, particle velocities, pipe bend, pipe walls, pipeline wear, shape and size, wear protection, air, cost effectiveness, mechanical properties, pipeline bends, pipe joints
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Related URLs:
Last Modified: 17 Oct 2016 10:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12664

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