Evidence map›Paper›PMID 31906037›Full record

ArticleMicromachines2019

Engineered Lateral Roughness Element Implementation and Working Fluid Alteration to Intensify Hydrodynamic Cavitating Flows on a Chip for Energy Harvesting.

Moein Talebian Gevari, Ali Hosseinpour Shafaghi, Luis Guillermo Villanueva, Morteza Ghorbani, Ali Koşar

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 2 institutions in 3 countries.

Moein Talebian GevariSabanci University Nanotechnology Research and Application Center, 34956 Tuzla, Istanbul, Turkey.ORCID 0000-0002-7959-6630
Ali Hosseinpour ShafaghiSabanci University Nanotechnology Research and Application Center, 34956 Tuzla, Istanbul, Turkey.
Luis Guillermo VillanuevaDepartment of Mechanical Engineering, École Polytechnique Fedérale de Lausanne, Lausanne CH-1015, Switzerland.
Morteza GhorbaniSabanci University Nanotechnology Research and Application Center, 34956 Tuzla, Istanbul, Turkey.ORCID 0000-0003-4883-7347
Ali KoşarSabanci University Nanotechnology Research and Application Center, 34956 Tuzla, Istanbul, Turkey.ORCID 0000-0001-6283-6717
Sabancı Üniversitesi · TRÉcole Polytechnique Fédérale de Lausanne · CH

Funding

Sabanci University I.A.CF-18-01877Türkiye Bilimsel ve Teknolojik Araştirma Kurumu 217M869
6 · The paper itself

Abstract

Hydrodynamic cavitation is considered an effective tool to be used in different applications, such as surface cleaning, ones in the food industry, energy harvesting, water treatment, biomedical applications, and heat transfer enhancement. Thus, both characterization and intensification of cavitation phenomenon are of great importance. This study involves design and optimization of cavitation on chip devices by utilizing wall roughness elements and working fluid alteration. Seven different microfluidic devices were fabricated and tested. In order to harvest more energy from cavitating flows, different roughness elements were used to decrease the inlet pressure (input to the system), at which cavitation inception occurs. The implemented wall roughness elements were engineered structures in the shape of equilateral triangles embedded in the design of the microfluidic devices. The cavitation phenomena were also studied using ethanol as the working fluid, so that the fluid behavior differences in the tested cavitation on chip devices were explained and compared. The employment of the wall roughness elements was an effective approach to optimize the performances of the devices. The experimental results exhibited entirely different flow patterns for ethanol compared to water, which suggests the dominant effect of the surface tension on hydrodynamic cavitation in microfluidic channels.

Indexed as

cavitation on chipenergy harvestinghydrodynamic cavitationmicrofluidicsoptimizationparametric effect study

Identifiers

PMID31906037
PMCPMC7019874
OpenAlexW2997397262

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.