Abstract:
A number of the components of cleaner coal energy conversion plants are subject to damage by erosive and abrasive wear - particularly by coal or ash material. This is of concern to equipment suppliers who are required to provide commercial guarantees of the operating lifetimes of components, and to plant operators who need to plan maintenance schedules.
There is a requirement for reliable predictive methods for abrasive and erosive wear rates based on the characteristics of the coals being fired. Recent developments in the application of Computer Controlled Scanning Electron Microscopy (CCSEM) for the quantitative analysis of coals, coal minerals and ash materials provides a new means of obtaining the relevant data on the coal and ash characteristics. This project is intended to make use of these advanced coal characterisation techniques within a programme of experimental work to study the erosiveness and abrasivity of coals and ashes. It is intended that the programme will help:
In order to achieve the programme objectives a number of activities are planned including selecting and characterising a suite of coal and ash materials - including indigenous coals from India, Southern Africa and China, in addition to British coals and coals traded on the world market - using conventional techniques and advanced CCSEM analysis. The abrasion and erosion resistance of a range of materials will be studied. These will include materials employed for the manufacture of mill grinding elements, pf pipework, burner components and boiler tubes plus a number of specific erosion-resistant coatings.
This profile contains information on the project's:Publication Year:
2001
Publisher:
Department of Trade and Industry
DOI:
No DOI minted
Author(s):
DTI
Energy Categories
Class Name:
Subclass Name:
Category Name:
Language:
English
File Type:
application/pdf
File Size:
42615 B
Rights:
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Rights Overview:
Rights are not recorded within the edc, check the data source for details
Further information:
N/A
Region:
United Kingdom
Related Dataset(s):
No related datasets
Related Project(s):
Related Publications(s):
Particle Impact Erosion and Abrasion Wear - Predictive Methods and Remedial Measures