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

Chronakis, Ioannis (författare)
RISE,IVF
Mekras, N.D. (författare)
ANTER Ltd, Greece
Wiesauer, K. (författare)
Upper Austrian Research GmbH, Austria
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Breuer, E. (författare)
Upper Austrian Research GmbH, Austria
Stifter, D. (författare)
Upper Austrian Research GmbH, Austria
Fuentes, G.F. (författare)
AIN, Spain
Qin, Y. (författare)
University of Strathclyde, UK
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 (creator_code:org_t)
2009-06-04
2010
Engelska.
Ingår i: The International Journal of Advanced Manufacturing Technology. - : Springer Science and Business Media LLC. - 0268-3768 .- 1433-3015. ; 47, s. 963-971
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The main goals of the 'Material Innovation and Testing' within MASMICRO are the 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 artificial neural networks (ANNs) is given, concerning the modelling of nano-fibres 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. © Springer-Verlag London Limited 2009.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Materialteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Materials Engineering (hsv//eng)

Nyckelord

Artificial neural networks
Electrospun micro- and nano-structures
Friction and wear resistance
Knowledge-based systems
Optical coherencetomography

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