Quantitative analysis of s-PB/SBR blend dispersion morphology using computer image processing-assisted Raman spectroscopic techniques

Abstract

In the materials industry, it is significant to clarify the correlation between the material dispersion morphology and the mechanical properties of rubber blends, which are comprehensively employed and are always in the spotlight. However, there are no generalized automatic visual characterization methods for dispersion morphology at present. In this paper, we wish to introduce a novel computer image processing-assisted approach for quantitative evaluation based on Raman mapping images, in which inhomogeneity factor K_c was defined to characterize the homogeneity of rubber blends. This numerical processing technique will provide a more objective standard for the quality control of relevant materials and products. It may be of profound impact on the information and automation of material engineering and is a key technique for automatic production and quality inspection of the related materials in industry.