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Author Mitrašinović, Aleksandar M. ♦ D’Souza, Ryan
Source SpringerLink
Content type Text
Publisher Springer US
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Environment ♦ Engineering ♦ Earth Sciences ♦ Chemistry/Food Science ♦ Physics
Abstract With expansion of integrated computational materials engineering, new mathematical models are required for the assessment of processes that traditionally were manually monitored on factory production floors. The Richards logistic function is used to describe the total amount of porosity in an as-cast aluminum alloy sample after treatment under near vacuum and atmospheric pressures. The acquired function constants were correlated to the different process parameters during solidification. It is found that the Richards logistic function describes the best formation of porosity in aluminum alloy melts. The maximum porosity (M $_{P}$) and lowest porosity level (L $_{P}$) constants are directly related to the highest and lowest porosity levels in the analyzed samples, while the rate (r) defines the increase of porosity with respect to an increase in dissolved hydrogen between the threshold and mass transfer limits. The Richards logistic function can be used instead of traditional low-order mathematical equations to predict threshold limit and amount of porosity in solidified aluminum alloys by assessing the hydrogen concentration in aluminum alloy melts.
ISSN 10474838
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-11-07
Publisher Institution The Minerals, Metals & Materials Society (TMS)
Publisher Place Boston
e-ISSN 15431851
Journal JOM
Volume Number 64
Issue Number 12
Page Count 5
Starting Page 1448
Ending Page 1452

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Source: SpringerLink