Evidence map›Paper›PMID 33669613›Full record

ArticleMicromachines2021

Enhancement of Mixing Performance of Two-Layer Crossing Micromixer through Surrogate-Based Optimization.

Shakhawat Hossain, Nass Toufiq Tayeb, Farzana Islam, Mosab Kaseem, P D H Bui, M M K Bhuiya, Muhammad Aslam, Kwang-Yong Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Shakhawat HossainDepartment of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore 7408, Bangladesh.
Nass Toufiq TayebGas Turbine Joint Research Team, University of Djelfa, Djelfa 17000, Algeria.
Farzana IslamDepartment of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 05006, Korea.
Mosab KaseemDepartment of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul 05006, Korea.
P D H BuiDepartment of Mechanical Engineering, University of Tulsa, Tulsa, OK 74104, USA.
M M K BhuiyaDepartment of Mechanical Engineering, Chittagong University of Engineering & Technology (CUET), Chittagong 4349, Bangladesh.
Muhammad AslamDepartment of Chemical Engineering, Lahore Campus, COMSATS University Islamabad (CUI), Lahore 53720, Pakistan.
Kwang-Yong KimDepartment of Mechanical Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea.ORCID 0000-0002-1046-3071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimum configuration of a micromixer with two-layer crossing microstructure was performed using mixing analysis, surrogate modeling, along with an optimization algorithm. Mixing performance was used to determine the optimum designs at Reynolds number 40. A surrogate modeling method based on a radial basis neural network (RBNN) was used to approximate the value of the objective function. The optimization study was carried out with three design variables; viz., the ratio of the main channel thickness to the pitch length (H/PI), the ratio of the thickness of the diagonal channel to the pitch length (W/PI), and the ratio of the depth of the channel to the pitch length (d/PI). Through a primary parametric study, the design space was constrained. The design points surrounded by the design constraints were chosen using a well-known technique called Latin hypercube sampling (LHS). The optimal design confirmed a 32.0% enhancement of the mixing index as compared to the reference design.

Indexed as

mixing indexNavier–Stokes equationsoptimizationpassive micromixersRBNN

Identifiers

PMID33669613
PMCPMC7922677

What OpenQuestion holds

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Registered trials

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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.