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Three-Dimensional Adhesion Map Based on Surface and Interfacial Cutting Analysis System for Predicting Adhesion
Kyuman Kim1, Seoungwoo Byun1, Inseong Cho1
1Department of Chemical and Biological Engineering, Hanbat National University , 125, Dongseodaero, Yuseong-gu, Daejeon 34158, Republic of Korea.
ACS Applied Materials & Interfaces
|July 12, 2016
Summary
This study introduces a new method to measure composite electrode adhesion strength, finding it increases with electrode density and loading. The developed mathematical equation accurately predicts adhesion for battery components.
Area of Science:
- Materials Science
- Electrochemistry
- Surface Science
Background:
- Accurate measurement of composite electrode adhesion is crucial for battery performance and longevity.
- Existing methods may not fully capture interfacial adhesion characteristics within the electrode structure.
- Understanding adhesion at different depths is key to optimizing electrode design.
Purpose of the Study:
- To introduce and validate a novel method for subdividing and measuring composite electrode adhesion strength.
- To investigate the relationship between electrode density, loading level, and adhesion strength.
- To develop a predictive mathematical model for composite electrode adhesion.
Main Methods:
- Utilized the Surface and Interfacial Cutting Analysis System (SAICAS) to measure adhesion strength at specific depths.
- Subdivided adhesion strength into two key metrics: FAl-Ca (adhesion between Al current collector and cathode) and Fmid (mid-depth adhesion).
- Varied electrode density and loading levels to assess their impact on adhesion.
Main Results:
- Both FAl-Ca and Fmid adhesion strengths were found to increase with higher electrode density and loading levels.
- A mathematical equation was derived from SAICAS measurements to govern composite electrode adhesion.
- The developed equation achieved high prediction accuracy, reaching 97.2% for FAl-Ca and 96.1% for Fmid.
Conclusions:
- SAICAS provides a robust method for characterizing composite electrode adhesion at different depths.
- Electrode density and loading are critical factors influencing adhesion strength.
- The derived mathematical model offers a valuable tool for predicting and optimizing composite electrode adhesion in battery applications.
