Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

MASMICRO micro-/nano-materials processing, analysis, inspection and materials knowledge management

Chronakis, Ioannis S. and Mekras, Nikolaos D. and Wiesauer, Karin and Breuer, Eva and Stifter, David and Fuentes, Gonzalo F. and Qin, Yi (2010) MASMICRO micro-/nano-materials processing, analysis, inspection and materials knowledge management. International Journal of Advanced Manufacturing Technology, 47 (9-12). pp. 963-971. ISSN 0268-3768

[img] PDF (strathprints013820.pdf)
strathprints013820.pdf
Restricted to Registered users only
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (680kB) | Request a copy from the Strathclyde author

Abstract

A main goal of the 'Material Innovation and Testing' within MASMICRO is identification of the miniature/micro-materials which are formable, development of new materials for forming and machining, development of an integrated material-testing system, and study of material properties for design/analysis applications. Examples of collaborative work and results are presented regarding the processing of functional electrospun polymer micro-/nano-fibre structures and the characterization of their interface properties with tribological testing. By means of Optical Coherence Tomography, a non-destructive inspection approach for these micro-/nano-structured webs was developed and it is also documented in the paper. Further, an application example of Artifical Neural Networks (ANNs) is given, concerning the modelling of nanofibres material behaviour under tensile testing. It is shown how Artificial Intelligence approaches (Knowledge Based Systems - KBS and ANNs) can support, significantly, the representation and processing of materials' knowledge of both, symbolic type in the case of KBS and algorithmic type in the case of ANNs, for the cases dealt within the MASMICRO.