Fractal Analysis to Determine Self-Similar Characteristics in the Microstructure of HSLA Steel

Tarafder, Mita and Chattoraj, I and Tarafder, S and Nasipuri, M (2009) Fractal Analysis to Determine Self-Similar Characteristics in the Microstructure of HSLA Steel. Materials and Manufacturing Processes, 24 . pp. 145-149.

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Abstract

A procedure based on statistical pattern recognition algorithm adopted for verifying the statistical self-similarity or fractal characteristics in microstructural images of metallic materials is reported in this article. The procedure is first applied on a synthetic image to show the degree of self-similarity in them and finally it has been applied on a microstructural image of steel. The results reported in this article have been used as a precursor for implementing fractal based quantification of microstructural images. Fractal based quantification is valid when the microstructure is homogeneous within certain length scales. Self-similar or self-affine characteristics of microstructures attribute such homogeneity in materials.

Item Type:Article
Official URL/DOI:DOI: 10.1080/10426910802612148
Uncontrolled Keywords:Autocorrelation; Bilinear; Dimension; Fractal; HSLA; Hurst exponent; Image analysis; Lath; Microstructure; Martensite; Monoscale; Power spectral density; Power spectrum; Self-similar; Steel.
Divisions:Business Development and Monitoring
ID Code:1927
Deposited By:Dr. Raghuvir Singh
Deposited On:11 Oct 2010 10:15
Last Modified:17 Feb 2012 16:40
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