Volume 3, Issue 1, April 2010, Pages 115 - 122
Similarity Measuring Approach for Engineering Materials Selection
H. Doreswamy, M.N. Vanajaskhi
Received 30 April 2009, Accepted 19 October 2009, Available Online 1 April 2010.
- https://doi.org/10.2991/ijcis.2010.3.1.11How to use a DOI?
- Data Mining and Knowledge Discovery, Composite Materials Selection, Similarity Measure
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ijcis.2010.3.1.11 ID - Doreswamy2010 ER -