2 research outputs found
Similarity Measuring Approuch for Engineering Materials Selection
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.Comment: International Journal of Computational Intelligence Systems (IJCIS),
Vol.3, Issue 1, April 2010, pp.115-122. (ISSN: 1875-6883
Similarity Measuring Approach for Engineering Materials Selection
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