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Can I read Numerical Characterization of Wear Particles Morphology and Angularity of Particles and Surfaces on EtoBox?

Numerical Characterization of Wear Particles Morphology and Angularity of Particles and Surfaces by G.W. Stachowiak is a Engineering article available to read on EtoBox.

What is Numerical Characterization of Wear Particles Morphology and Angularity of Particles and Surfaces about?

The morphology of wear particles, in terms of their shape, size and surface texture, reflects the complex nature of wear processes involved in particle formation. Currently, wear particle morphology is usually assessed qualitatively based on microscopy observations. This procedure, since it relies upon the 'expert's' experience, is not always objective and it can also be expensive. Hence, recent research efforts concentrate on the development of numerical descriptors and the application of computer technology and image analysis techniques to the assessment of particle morphology. Wear particle boundaries often exhibit rugged characteristics and fractal methods appear to be suitable for their description. Another problem is associated with the characterization of particle surface texture. In this case, fractal methods also seem to give promising results, especially in characterizing the surface anisotropy and directionality. An inherent feature of many tribological systems are abrasive particles. It is intuitively felt that the shape of abrasive particles is related to their abrasivity and subsequently influences the wear rates. Research efforts have been directed to the development

Who reads Numerical Characterization of Wear Particles Morphology and Angularity of Particles and Surfaces?

It is typically read by researchers, students, and practitioners in Engineering.

Author
G.W. Stachowiak
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0301-679X)
Published
1998
Language
EN
Field
Engineering (Physical Sciences)

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