Evidence map›Paper›PMID 33597601›Full record

ArticleScientific reports2021

Application of response surface methodology on the nanofluid flow over a rotating disk with autocatalytic chemical reaction and entropy generation optimization.

Tahir Mehmood, Muhammad Ramzan, Fares Howari, Seifedine Kadry, Yu-Ming Chu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Tahir MehmoodSchool of Natural Sciences (SNS), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Muhammad RamzanDepartment of Computer Science, Bahria University, Islamabad, 44000, Pakistan.
Fares HowariCollege of Natural and Health Sciences, Zayed University, 144543, Abu Dhabi, UAE.
Seifedine KadryDepartment of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, 115020, Lebanon.
Yu-Ming ChuDepartment of Mathematics, Huzhou University, Huzhou, 313000, People's Republic of China. chuyuming@zjhu.edu.cn.

Funding

National Natural Science Foundation of China 11601485National Natural Science Foundation of China 11626101National Natural Science Foundation of China 11701176National Natural Science Foundation of China 11871202National Natural Science Foundation of China 11971142National Natural Science Foundation of China 61673169
6 · The paper itself

Abstract

The role of nanofluids is of fundamental significance in the cooling process of small electronic devices including microchips and other associated gadgets in microfluidics. With such astounding applications of nanofluids in mind, it is intended to examine the flow of magnetohydrodynamic nanofluid comprising a novel combination of multi-walled carbon nanotubes and engine oil over a stretched rotating disk. The concentration equation is modified by considering the autocatalytic chemical reaction. The succor of the bvp4c numerical technique amalgamated with the response surface methodology is secured for the solution of a highly nonlinear system of equations. The sensitivity analysis is performed using a response surface methodology. The significant impacts of the prominent arising parameters versus involved fields are investigated through graphical illustrations. It is observed that the skin friction coefficient and local Nusselt number are positively sensitive to nanoparticle volume fraction while it is positively sensitive to the suction parameter. It is negatively sensitive to the Magnetic parameter. The skin friction coefficient is negatively sensitive to all input parameters.

Identifiers

PMID33597601
PMCPMC7890068

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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.