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DBSCAN algorithm enabling multiscale quantitative characterization of agglomerates in liquid-containing gas-solid fluidized bed reactors
DOI:10.1016/j.powtec.2026.123141.png)
Abstract
En 中文
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Fully automatic quantitative identification of wet agglomerates was realized.
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Optimized DBSCAN retains all clusters and noise points for complete analysis.
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Micro-forces, micro-evolution, and macro-distribution of wet agglomerates were related.
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Both agglomeration degree and strength were realized via multi-scale study.
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A quantifiable analysis paradigm for complex multiphase flow systems was established.
Keywords:
Liquid-containing gas-solid fluidized bed reactor
DBSCAN algorithm
Particle agglomerate
Multiscale quantitative analysis
Journal
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4.6
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2.6K
Citations:
5.3W

