Search: onr:"swepub:oai:DiVA.org:ri-13370" > MASMICRO micro-/nan...
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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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