Experimental analysis and modeling of micro-texture and vickers hardness impact on polished stone value in high-friction aggregates Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3389/fmats.2024.1340828
This article intends to study the influence of micro-texture and Vickers hardness on the Polished Stone Value (PSV) of four types of high friction aggregates (90# Bauxite, 75# Bauxite, Basalt, and Granite) during the long-term polishing process. For this purpose, profile roughness, Vickers hardness, and PSV were tested. The relationship between profile roughness, Vickers hardness, and PSV was analyzed with gray correlation analysis and mathematical fitting. The results show that arithmetic mean roughness (R a ) and maximum height (R z ) influenced PSV significantly while root mean square height (R q ), skewness (R sk ), kurtosis (R ku ), and load length ratio (R mr (c)) had a relatively weak effect. Because of the high correlation with PSV, R a and R z were chosen as indicators, and the relationship between variables (R a , R z ) and PSV was established. There is a good linear relationship between the attenuation rate of R a and R z per polishing cycle (K 1 and K 2 ) and Vickers hardness. Finally, a model of estimation of the polished stone value of high friction aggregate based on micro-texture and Vickers hardness during the long-term polishing process is developed. Measuring the profile roughness and Vickers hardness to obtain R a , R z , and H correlation values and substituting them into the modeling equations in this paper can be used for optimal selection and life estimation of high friction aggregates, which belong to the raw materials, and the optimal selection of high friction aggregates will be helpful for the design of wear-resistant coatings, especially for high friction surface treatments.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmats.2024.1340828
- https://www.frontiersin.org/articles/10.3389/fmats.2024.1340828/pdf?isPublishedV2=False
- OA Status
- gold
- Cited By
- 2
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391537485
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391537485Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmats.2024.1340828Digital Object Identifier
- Title
-
Experimental analysis and modeling of micro-texture and vickers hardness impact on polished stone value in high-friction aggregatesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-05Full publication date if available
- Authors
-
Zhenqing He, Jun Li, Juanni Nian, Bowen GuanList of authors in order
- Landing page
-
https://doi.org/10.3389/fmats.2024.1340828Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fmats.2024.1340828/pdf?isPublishedV2=FalseDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fmats.2024.1340828/pdf?isPublishedV2=FalseDirect OA link when available
- Concepts
-
Vickers hardness test, Texture (cosmology), Materials science, Composite material, Indentation hardness, Value (mathematics), Metallurgy, Microstructure, Computer science, Artificial intelligence, Machine learning, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5093863241, https://openalex.org/A5100341757 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I25355098 |
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| sustainable_development_goals[0].display_name | Responsible consumption and production |
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| citation_normalized_percentile.is_in_top_10_percent | False |