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DEVELOPMENT OF A METHOD FOR THE CHARACTERIZATION OF ROUGHNESS IN 3 DIMENSIONS

Objectif


Surface topography features such as lay, isotropy, pits and troughs are present in many engineering surfaces. The influence of some features, such as pits and troughs, on functional performance is still not fully understood. Moreover, the influence of pits and troughs on current surface topography characterization procedures is not clear, and should be studied before more comprehensive research on the functional properties of surface features can be carried out. A range of surface topography features encountered in practical engineering surfaces are summarized and their significance in characterizing 2-dimensional and 3-dimensional surface topography is determined. A comparison of the significance of the surface features with sampling conditions, such as sampling interval and sampling size, in characterization is given. The analysis results give a clear statement about the significance of the surface features with sampling conditions, such as sampling interval and sampling size, in characterization is given. The analysis results give a clear statement about the significance of the surface features on surface characterization. Moreover, it is demonstrated that using 3-dimensional topographic analysis it is possible to measure, identify, and discriminate between different surface features. This discrimation allows subsequent filtering of features to suit functional analysis requirements.
The assessment of engineering surfaces plays an important role in the manufacturing industry. National and international standards, e.g. ISO, DIN, BS, ANSI, exist for a range of 2 dimensional surface roughness measurement and are used extensively in industry today. However, much of the current research work and industrial reasoning recognizes the fact that all surfaces interact 3-dimensionally and that a 2-dimensional characterization of surface roughness does not reflect its real properties. It is becoming increasingly obvious that a full understanding between surface topography and functional performance can only be realized if a 3-d approach to surface characterization is used.

The intention of this project is therefore to develop a method for the characterization of roughness in 3 dimensions based upon both optical and mechanical measurement techniques. The project will be carried out in close connection with industry. A survey of industrial and research institutes will establish the background of the 3-dimensional characterization of the roughness of engineered and functional surfaces. A detailed investigation of measurement and data analysis techniques will follow and the relationship between manufacture, characterization and function of surfaces will be established using selected example surfaces. Before finalizing recommendations the results will be disseminated and discussed with European industries.

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UNIVERSITY OF BIRMINGHAM
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