Prediction of microporosity in Al-Si castings in low pressure permanent mould casting using criteria functions

Download
  1. (PDF, 2 MB)
  2. Get@NRC: Prediction of microporosity in Al-Si castings in low pressure permanent mould casting using criteria functions (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1179/136404604225020650
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeArticle
Journal titleInternational Journal of Cast Metals Research
Volume17
Issue4
Pages193200; # of pages: 8
SubjectAluminium; Aluminum Alloys; Low Pressure; Permanent Mould Casting; Al-Si castings; Microporosity; Prediction; Criteria Functions
AbstractMicroporosity, a serious defect in Al-Si based castings, severely prevents their widespread applications in many critical conditions. The use of criteria functions to predict quantitatively microporosity level holds promise. To date, an ideal criteria function has yet to be obtained. In the present work, microporosity distribution in three prominently used hypoeutectic Al-Si alloys (319, 356 and 332) was investigated. The prediction effectiveness of single solidification parameter and existing criteria functions was evaluated by correlating thermal data of simulation studies to experimentally obtained microporosity values. Two new criteria functions are proposed based on experimental observation and multivariable regression analysis. The results indicate that thermal parameter-based criteria functions may be used to predict the microporosity in Al-Si castings but have their limitations. A general criteria function tf1.18 Vs1.13 (tf, local solidification time; Vs, solidification velocity) can be applied to predict microporosity for the family of hypoeutectic Al-Si casting alloys within a certain error.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Industrial Materials Institute
Peer reviewedNo
NRC number47596
NPARC number12922851
Export citationExport as RIS
Report a correctionReport a correction
Record identifier3f62d03c-a52a-431d-819e-51fef5da0a61
Record created2009-11-13
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)