Evidence map›Paper›PMID 29051631›Full record

ArticleJournal of fluid mechanics2017

Acoustic streaming: an arbitrary Lagrangian-Eulerian perspective.

Nitesh Nama, Tony Jun Huang, Francesco Costanzo

Abstract read
In one paragraph

Article in Journal of fluid mechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Capillary wave tweezer.Scientific reports · 2024
    Article
  2. Article
  3. Sonoporation: Past, Present, and Future.Advanced materials technologies · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nitesh NamaDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
Tony Jun HuangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Francesco CostanzoDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.

Funding

Standing Surface Acoustic Wave Based Cell Sorters for Maintaining Cell IntegrityR01GM112048 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2014 to 2017
$1.1M
Validation of acoustic tweezers for single-cell analyses of purine metabolismR33EB019785 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2014 to 2016
$1.1M
NIBIB NIH HHS R33 EB019785NIGMS NIH HHS R01 GM112048
6 · The paper itself

Abstract

We analyse acoustic streaming flows using an arbitrary Lagrangian Eulerian (ALE) perspective. The formulation stems from an explicit separation of time scales resulting in two subproblems: a first-order problem, formulated in terms of the fluid displacement at the fast scale, and a second-order problem, formulated in terms of the Lagrangian flow velocity at the slow time scale. Following a rigorous time-averaging procedure, the second-order problem is shown to be intrinsically steady, and with exact boundary conditions at the oscillating walls. Also, as the second-order problem is solved directly for the Lagrangian velocity, the formulation does not need to employ the notion of Stokes drift, or any associated post-processing, thus facilitating a direct comparison with experiments. Because the first-order problem is formulated in terms of the displacement field, our formulation is directly applicable to more complex fluid-structure interaction problems in microacoustofluidic devices. After the formulation's exposition, we present numerical results that illustrate the advantages of the formulation with respect to current approaches.

Indexed as

computational methodsflow–structure interactionsmicrofluidics

Identifiers

PMID29051631
PMCPMC5643019

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.