About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Minerals, Metals and Materials 2022
|
| Presentation Title |
Employing a Semi-quantitative System to Elucidate Particle Spacing in Particle-reinforced Composite |
| Author(s) |
Andrew O'Connor, Cheol Park, Michele V. Manuel |
| On-Site Speaker (Planned) |
Andrew O'Connor |
| Abstract Scope |
Particle spacing can significantly affect the mechanical and particle-dependent properties of particle-reinforced composites. Concepts such as particle dispersion and distribution express the relative adequacy of particle spacing; however, there exists no agreement in the literature on the best parameterization of these values. Additionally, the typical characterization techniques using optical or electron microscopy of cross-sections necessitate stereological arguments, which are often inconsistently applied. Here is presented a system built on three different methods of quantifying particle spacing: nearest-neighbor distance, interparticle distance, and free space distance. To assist interpretation of these varied particle spacing metrics, cross-section(s) of analyzed composites with descriptive captions are presented to complete this semi-quantitative characterization system. As an example, this system is applied to reveal the effect of changing volume fractions and fabrication techniques in a particular composite system. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Composites, Characterization, |