Similarity Measuring Approach for Engineering Materials Selection

DOI

10.2991/ijcis.2010.3.1.11How to use a DOI?

Keywords

Data Mining and Knowledge Discovery, Composite Materials Selection, Similarity Measure

Abstract

Advanced engineering materials design involves the exploration of massive multidimensional feature spaces, the correlation of materials properties and the processing parameters derived from disparate sources. The search for alternative materials or processing property strategies, whether through analytical, experimental or simulation approaches, has been a slow and arduous task, punctuated by infrequent and often expected discoveries. A few systematic efforts have been made to analyze the trends in data as a basis for classifications and predictions. This is particularly due to the lack of large amounts of organized data and more importantly the challenging of shifting through them in a timely and efficient manner. The application of recent advances in Data Mining on materials informatics is the state of art of computational and experimental approaches for materials discovery. In this paper similarity based engineering materials selection model is proposed and implemented to select engineering materials based on the composite materials constraints. The result reviewed from this model is sustainable for effective decision making in advanced engineering materials design applications.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - H. Doreswamy
AU  - M.N. Vanajaskhi
PY  - 2010
DA  - 2010/04/01
TI  - Similarity Measuring Approach for Engineering Materials Selection
JO  - International Journal of Computational Intelligence Systems
SP  - 115
EP  - 122
VL  - 3
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.1.11
DO  - 10.2991/ijcis.2010.3.1.11
ID  - Doreswamy2010
ER  -