TY - JOUR
T1 - MASMICRO micro-/nano-materials processing, analysis, inspection and materials knowledge management
AU - Chronakis, Ioannis S.
AU - Mekras, Nikolaos D.
AU - Wiesauer, Karin
AU - Breuer, Eva
AU - Stifter, David
AU - Fuentes, Gonzalo F.
AU - Qin, Yi
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - electrospun micro- and nano-structures
KW - friction
KW - wear
KW - resistance
KW - optical coherence tomography
KW - artificial neural networks
KW - knowledge-based systems
KW - design engineering
KW - MASMICRO micro-/nano-materials
KW - processing
KW - analysis
KW - inspection
KW - materials knowledge management
UR - http://www.scopus.com/inward/record.url?scp=84860629320&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1007/s00170-009-2126-4
U2 - 10.1007/s00170-009-2126-4
DO - 10.1007/s00170-009-2126-4
M3 - Article
SN - 0268-3768
VL - 47
SP - 963
EP - 971
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-12
ER -