Porosity Measurement in B4C-Nb Composite Through Digital Image Analysis and Processing

Authors

  • Marcos Paulo Dornellas Universidade do Estado do Rio de Janeiro
  • Vinicio Coelho da Silva Universidade do Estado do Rio de Janeiro
  • Getúlio da Silva Abreu Universidade Estadual do Norte Fluminense
  • Geronimo Perez Universidade Federal Fluminense
  • Marcello Filgueira Universidade Estadual do Norte Fluminense
  • Marília Garcia Diniz Universidade do Estado do Rio de Janeiro

DOI:

https://doi.org/10.14295/vetor.v32i1.13687

Keywords:

Advanced ceramics, Boron carbide with niobium, Porosity, Digital image processing

Abstract

Constant research efforts have been conducted in materials selection to combine and improve the properties of interest, service life and production cost. In this context, boron carbide (B4C) stands out for having a high mechanical performance, being the material that has the fourth highest hardness (> 29.1GPa) among ceramic materials. However, porosity is seen as a limiting factor for the high performance of this group of materials, to which boron carbide is found. Porosity control is usually conducted through imprecise techniques, and indirect or costly measures for quantification. This work quantified the porosity of boron-niobium carbide (B4C-Nb) composites obtained from high pressure - high temperature (HPHT - high pressure high temperature) sintering process through analysis and digital image processing (PDI) by microscopy optical (MO) after surface preparation with controlled and automated parameters. The results obtained were compared with those obtained using the mercury intrusion porosimetry method. The semi-quantitative chemical characterization of the composites was performed using the Energy Dispersive Spectroscopy (EDS) technique.

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References

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Published

2022-07-15 — Updated on 2022-07-15

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How to Cite

Paulo Dornellas, M., Coelho da Silva, V. ., da Silva Abreu, G. ., Perez, G. ., Filgueira, M. ., & Garcia Diniz , M. . (2022). Porosity Measurement in B4C-Nb Composite Through Digital Image Analysis and Processing. VETOR - Journal of Exact Sciences and Engineering, 32(1), 62–71. https://doi.org/10.14295/vetor.v32i1.13687

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