Application of statistical filtering technique to single and double electron beam textured surfaces

The texturing of steel surfaces is well known to affect their functional performance. Different processes (e.g. forming, painting) are affected by different wavelengths of surface structures which, in order to study the phenomena, are usually separated through filtering processes. New texturing proc...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of machine tools & manufacture Vol. 43; no. 11; pp. 1151 - 1156
Main Authors:	Porrino, Alessandro, Sacerdotti, Franco, Vermeulen, Michel, Butler, Clive
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01-09-2003 Elsevier
Subjects:	Applied sciences Artificial intelligence Computer science; control theory; systems Deterministic texture Exact sciences and technology Gram-Schmidt Industrial metrology. Testing Mechanical engineering. Machine design Pattern recognition. Digital image processing. Computational geometry Semi-deterministic texture Surface texture filtering Deterministic texture Surface texture filtering Semi-deterministic texture Gram-Schmidt
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	The texturing of steel surfaces is well known to affect their functional performance. Different processes (e.g. forming, painting) are affected by different wavelengths of surface structures which, in order to study the phenomena, are usually separated through filtering processes. New texturing processes call for new filtering techniques, and amongst the latest ones, the Gram-Schmidt (GS) decomposition technique proved to be suitable for deterministic patterns such as Electron-Beam Textured (EBT) surfaces. Optimisation lead to new textures, with more dense patterns, so extending the GS methodology seemed natural and meaningful. This paper describes how the technique was algorithmically adapted and how it will benefit process control.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0890-6955 1879-2170
DOI:	10.1016/S0890-6955(03)00109-3