Answers are grounded in this paper and cite their sources.
Jamming of monodisperse metal disks flowing through two-dimensional hoppers and silos is studied experimentally. Repeating the flow experiment M times in a hopper or silo (HS) of exit size d, we measure the histograms $h(n)$ of the number of disks n through the HS before jamming. By treating the states of the HS as a Markov chain, we find that the jamming probability $J(d)$, which is defined as the probability that jamming occurs in a HS containing m disks, is related to the distribution function F(n)≡(1∕M)∑ₛ₌ₙ^s=∞h(s) by J(d)=1-F(m)=1-e^-α(m-nₒ). The decay rate α, as a function of d, is found to be the same for both hoppers and silos with different widths. The average number of disks N≡1∕α=⟨n⟩ passing through the HS can be fitted to N=Ae^Bd², N=Ae^B∕(dc-d), or N=A(dc-d)^-γ. The implications of these three forms for N to the stability of dense flow are discussed.
No takes yet. Share an insight, caveat, or question.
Kiwing To (2005) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: