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

Area of Science:

• Materials Science and Engineering
• Polymer Science
• Computational Materials Science

Background:

• Understanding the relationship between material dispersion morphology and mechanical properties is crucial for rubber blends used across industries.
• Current methods for characterizing dispersion morphology in rubber blends lack generalization and automation, hindering efficient quality control.
• The need for objective and automated visual characterization techniques is paramount for advancing material engineering and production.

Purpose of the Study:

• To introduce a novel computer image processing-assisted approach for the quantitative evaluation of rubber blend dispersion morphology.
• To develop an objective standard for quality control of rubber blend materials and products.
• To explore the potential impact on the automation of material engineering and industrial inspection processes.

Main Methods:

• Utilized Raman mapping images as the basis for quantitative evaluation.
• Developed a computer image processing-assisted approach for analyzing dispersion morphology.
• Defined a novel inhomogeneity factor (Kc) to characterize the homogeneity of rubber blends.

Main Results:

• Successfully implemented a quantitative evaluation method for rubber blend dispersion.
• The inhomogeneity factor (Kc) provides an objective measure for characterizing blend homogeneity.
• Demonstrated the potential for automated visual characterization, overcoming limitations of existing methods.

Conclusions:

• The proposed computer image processing technique offers a more objective standard for quality control of rubber blends.
• This approach has profound implications for the information and automation of material engineering.
• It represents a key technique for the automatic production and quality inspection of related industrial materials.