Title of article :
Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys
Author/Authors :
D.G. Leo Prakash، نويسنده , , D.G. and Prasanna، نويسنده , , B. and Regener، نويسنده , , D.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
9
From page :
480
To page :
488
Abstract :
Pressure die cast AZ91 magnesium alloy contains both shrinkage and gas microporosity. Quantification and characterization of shrinkage and gas microporosity is expected to be useful to understand the processing-properties-microstructure correlations. However, conventional image analysis techniques do not permit a separate quantification and characterization of shrinkage and gas microporosity. A computational microstructural (image) analyzing technique has been developed by the use of a programming language to quantify and analyze the microporosity. The shrinkage microporosity and gas microporosity were separated by the above technique and the size distributions of the above micropores were quantified. A microstructural montage from the AZ91 magnesium alloy is created for getting better and consistent results. In addition the image analyzing technique is used to measure the nearest neighbor distance of the shrinkage and the gas microporosity, and to quantify the clustering tendency of the porosity. A new parameter is defined to characterize the affinity of gas pores with the shrinkage pores and vice versa.
Keywords :
Gas pores , Quantification , Shrinkage pores , Computational microstructure analysis , Nearest neighbor distribution , Size distribution
Journal title :
Computational Materials Science
Serial Year :
2005
Journal title :
Computational Materials Science
Record number :
1680717
Link To Document :
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