| Title |
Flux of granular particles through a shaken sieve plate
|
|---|---|
| Published in |
Scientific Reports, June 2015
|
| DOI | 10.1038/srep09880 |
| Pubmed ID | |
| Authors |
Pingping Wen, Ning Zheng, Junwei Nian, Liangsheng Li, Qingfan Shi |
| Abstract |
We experimentally investigate a discharging flux of granular particles through a sieve plate subject to vertical vibrations. The mean mass flux shows a non-monotonic relation with the vibration strength. High-speed photography reveals that two stages, the free flight of the particles' bulk over the plate and the adhesion of the particles' bulk with the plate, alternately appear, where only the adhesion stage contributes to the flow. With two independent methods, we then measure the adhesion time under different vibration conditions, and define an adhesion flux. The adhesion flux monotonically increases with increasing vibration strength. By rescaling the adhesion flux, we find that the adhesion flux is approximately determined by the peak vibration velocity of the shaker. The conclusion is examined with other sieve geometries. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 31% |
| Physics and Astronomy | 3 | 19% |
| Environmental Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2015.
All research outputs
#20,278,422
of 22,811,321 outputs
Outputs from Scientific Reports
#105,200
of 123,133 outputs
Outputs of similar age
#222,515
of 266,419 outputs
Outputs of similar age from Scientific Reports
#1,547
of 1,860 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,860 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.