Evidence map›Paper›PMID 27886051›Full record

ArticleSensors (Basel, Switzerland)2016

A Laminar Flow-Based Microfluidic Tesla Pump via Lithography Enabled 3D Printing.

Mohammed-Baker Habhab, Tania Ismail, Joe Fujiou Lo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Recent Advancements towards Full-System Microfluidics.Sensors (Basel, Switzerland) · 2017
    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.

Mohammed-Baker HabhabDepartment of Mechanical Engineering, Bioengineering Program, University of Michigan at Dearborn, 2088 IAVS Building, 4901 Evergreen Rd., Dearborn, MI 48128, USA. mihabhab@umich.edu.
Tania IsmailDepartment of Mechanical Engineering, Bioengineering Program, University of Michigan at Dearborn, 2088 IAVS Building, 4901 Evergreen Rd., Dearborn, MI 48128, USA. tismail@umich.edu.
Joe Fujiou LoDepartment of Mechanical Engineering, Bioengineering Program, University of Michigan at Dearborn, 2088 IAVS Building, 4901 Evergreen Rd., Dearborn, MI 48128, USA. jfjlo@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tesla turbine and its applications in power generation and fluid flow were demonstrated by Nicholas Tesla in 1913. However, its real-world implementations were limited by the difficulty to maintain laminar flow between rotor disks, transient efficiencies during rotor acceleration, and the lack of other applications that fully utilize the continuous flow outputs. All of the aforementioned limits of Tesla turbines can be addressed by scaling to the microfluidic flow regime. Demonstrated here is a microscale Tesla pump designed and fabricated using a Digital Light Processing (DLP) based 3D printer with 43 µm lateral and 30 µm thickness resolutions. The miniaturized pump is characterized by low Reynolds number of 1000 and a flow rate of up to 12.6 mL/min at 1200 rpm, unloaded. It is capable of driving a mixer network to generate microfluidic gradient. The continuous, laminar flow from Tesla turbines is well-suited to the needs of flow-sensitive microfluidics, where the integrated pump will enable numerous compact lab-on-a-chip applications.

Indexed as

3D printingDLPmicrofluidicTesla turbineTesla valve

Identifiers

PMID27886051
PMCPMC5134628

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.