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

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Fältnamn	Indikatorer	Metadata
000		03141naa a2200433 4500
001		oai:DiVA.org:ri-13370
003		SwePub
008		160922s2010 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-133702 URI
024	7	a https://doi.org/10.1007/s00170-009-2126-42 DOI
040		a (SwePub)ri
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Chronakis, Ioannisu RISE,IVF4 aut
245	1 0	a MASMICRO micro-/nano-materials processing, analysis, inspection and materials knowledge management
264		c 2009-06-04
264	1	b Springer Science and Business Media LLC,c 2010
338		a print2 rdacarrier
520		a 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.
650	7	a TEKNIK OCH TEKNOLOGIERx Materialteknik0 (SwePub)2052 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Materials Engineering0 (SwePub)2052 hsv//eng
653		a Artificial neural networks
653		a Electrospun micro- and nano-structures
653		a Friction and wear resistance
653		a Knowledge-based systems
653		a Optical coherencetomography
700	1	a Mekras, N.D.u ANTER Ltd, Greece4 aut
700	1	a Wiesauer, K.u Upper Austrian Research GmbH, Austria4 aut
700	1	a Breuer, E.u Upper Austrian Research GmbH, Austria4 aut
700	1	a Stifter, D.u Upper Austrian Research GmbH, Austria4 aut
700	1	a Fuentes, G.F.u AIN, Spain4 aut
700	1	a Qin, Y.u University of Strathclyde, UK4 aut
710	2	a RISEb IVF4 org
773	0	t The International Journal of Advanced Manufacturing Technologyd : Springer Science and Business Media LLCg 47, s. 963-971q 47<963-971x 0268-3768x 1433-3015
856	4	u http://rd.springer.com/article/10.1007%2Fs00170-009-2126-4
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-13370
856	4 8	u https://doi.org/10.1007/s00170-009-2126-4

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Av författaren/redakt...: Chronakis, Ioann ...; Mekras, N.D.; Wiesauer, K.; Breuer, E.; Stifter, D.; Fuentes, G.F.; visa fler...; Qin, Y.; visa färre...

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