Evidence map›Paper›PMID 36517500›Full record

ArticleScientific reports2022

Thermal and solute aspects among two viscosity models in synovial fluid inserting suspension of tri and hybrid nanomaterial using finite element procedure.

Umar Nazir, Muhammad Sohail, Poom Kumam, Yasser Elmasry, Kanokwan Sitthithakerngkiet, Mohamed R Ali, Muhammad Jahangir Khan, Ahmed M Galal

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Umar NazirDepartment of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand.
Muhammad SohailDepartment of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, 64200, Pakistan. muhammad_sohail111@yahoo.com.
Poom KumamCenter of Excellence in Theoretical and Computational Science (TaCS-CoE) & KMUTT Fixed Point Research Laboratory, Room SCL 802 Fixed Point Laboratory, Science Laboratory Building, Departments of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thung Khru, Bangkok, 10140, Thailand.
Yasser ElmasryDepartment of Mathematics, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, 61466, Saudi Arabia.
Kanokwan SitthithakerngkietIntelligent and Nonlinear Dynamic Innovations Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok (KMUTNB), 1518, Wongsawang, Bangsue, Bangkok, 10800, Thailand.
Mohamed R AliFaculty of Engineering and Technology, Future University in Egypt, New Cairo, 11835, Egypt. mohamed.reda@fue.edu.eg.
Muhammad Jahangir KhanDepartment of Advance Materials and Technologies, Faculty of Materials Engineering, Silesian University of Technology, 44-100, Gliwice, Poland.
Ahmed M GalalMechanical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inclusion of nanoparticles boosts thermal performance and is essential for thermal transport. The current investigation has been made to conduct research on heat mass transport in synovial material with the mixing of hybrid and tri-hybrid comprising variable viscosity past over a heated surface having constant density and a steady environment. The conservation laws have been considered in the presence of Lorentz force, heat generation/absorption, modified heat and mass fluxes together with chemical reaction. The mathematical model is developed in Cartesian coordinate in the form of coupled partial differential equation (PDEs). The derived PDEs are simplified by a boundary layer approach (BLA) and reduced PDEs have been converted into ordinary differential equation (ODEs) using scaling group Similarity transformation. The converted ODEs are highly nonlinear and have been solved numerically by finite elements scheme (FES). The used scheme is effective for nonlinear problem and can be frequently utilized to tackle nonlinear problems arising in mathematical physics.

Indexed as

NanostructuresSynovial FluidDiethylstilbestrolFinite Element AnalysisSuspensionsViscosityDiethylstilbestroldiethylstilbestrol monophosphateSuspensions

Identifiers

PMID36517500
PMCPMC9751286

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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.