<p>Knife and ball mills are widely used for size reduction in advanced biorefineries. Biomass valorisation processes such as hydrolysis, fermentation, pyrolysis, gasification, and combustion require biomass with specific particle sizes, uniformity, and a narrow distribution for stable and controlled processing. This study compares the particle size distributions of knife- and ball-milled beech chips, focusing on nominal sizes, relative span (RSM), uniformity index, curvature (Cu), and skewness (Cc). The knife mill produced a uniform distribution with RSM values of 1.44 ± 0.09. The ball mill exhibited a broad range of RSM values, from 1.66 to 300.75, with no limitations on the minimum particle size. Knife milling resulted in distributions with Cu values between 2.6 and 3.2 and Cc values between 1.13 and 1.16. In contrast, ball mill Cu values ranged from 3 to nearly 30,000, indicating a more uniform but broader distribution. The study highlights the distinct characteristics of both milling methods and their impact on biomass processing.</p>

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Comparing the Impact of Knife and Ball Milling of Beech Chips on the Particle Size Characteristics

  • Carlos Arce,
  • Lukáš Krátký

摘要

Knife and ball mills are widely used for size reduction in advanced biorefineries. Biomass valorisation processes such as hydrolysis, fermentation, pyrolysis, gasification, and combustion require biomass with specific particle sizes, uniformity, and a narrow distribution for stable and controlled processing. This study compares the particle size distributions of knife- and ball-milled beech chips, focusing on nominal sizes, relative span (RSM), uniformity index, curvature (Cu), and skewness (Cc). The knife mill produced a uniform distribution with RSM values of 1.44 ± 0.09. The ball mill exhibited a broad range of RSM values, from 1.66 to 300.75, with no limitations on the minimum particle size. Knife milling resulted in distributions with Cu values between 2.6 and 3.2 and Cc values between 1.13 and 1.16. In contrast, ball mill Cu values ranged from 3 to nearly 30,000, indicating a more uniform but broader distribution. The study highlights the distinct characteristics of both milling methods and their impact on biomass processing.