Numerical exploration of thermal transport in water-based nanoparticles: A computational strategy

Naseem, Tahir; Nazir, Umar; Sohail, Muhammad; Alrabaiah, Hussam; Sherif, El‐Sayed M.; Park, Choonkil

doi:10.1016/j.csite.2021.101334

Cited by 24 publications

(10 citation statements)

References 25 publications

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“…Additionally, when solid volume fraction is used, the difference in the average Nusselt number is nonlinear. Naseem et al 33 investigated the three-dimensional flow properties and heat transfer of a nanofluid travelling across a bidirectional surface using the Tiwari and Das model and the nanofluid's thermophysical parameters. Additionally, higher Eckert and Prandtl values indicate a lower thermal profile.…”

Section: Introductionmentioning

confidence: 99%

Thin film flow and heat transfer of Cu-nanofluids with slip and convective boundary condition over a stretching sheet

Shahzad

Liaqat

Ellahi

et al. 2022

Sci Rep

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The flow and heat transfer in thin film of Cu-nanofluid over a stretching sheet by considering different shape factors (platelets, blades, bricks, sphere and cylinder) along with slip and convective boundary conditions is investigated. The governing partial differential equations are converted to nonlinear ordinary differential equations by means of suitable similarity transformation and then solved by using BVP4C in MATLAB. The physical significance of various parameters on velocity and temperature profiles are investigated and provided in the form of table and also presented graphically. It is noted that the Platelet-shaped nanoparticles has the highest heat transfer rate as compare to other particle’s shapes.

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Section: Introductionmentioning

confidence: 99%

Thin film flow and heat transfer of Cu-nanofluids with slip and convective boundary condition over a stretching sheet

Shahzad

Liaqat

Ellahi

et al. 2022

Sci Rep

Self Cite

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“…Shoaib et al [19] Here, scrutinization about the consequences of size of solid-particles, fraction of CNT particles, volumetric concentration of solid particles, and Rayleigh number in heat transference process is presented. Some additional considerations about water based hybrid nano-fluids and their modeling are highlighted by some experts in [23][24][25][26][27]. Few of scholar-works also emphasized the impression of tiny-particles shapes on the thermophysical possessions which reveal the thermal augmentation of the nanofluids.…”

Section: Introductionmentioning

confidence: 99%

Convective Heat Transport in Bidirectional Water Driven Hybrid Nanofluid Using Blade Shaped Cadmium Telluride and Graphite Nanoparticles under Electromagnetohydrodynamics Process

Ahmad

Zan-Ul-Abadin

Faisal

et al. 2022

Journal of Mathematics

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The recent progress in nanotechnology provides the concept of hybrid-class nano-fluids having advanced thermal features comparing to regular nanofluids. The idea of a hybrid nanofluid has motivated many researchers because of its convincible performance in thermal systems. The novel theme of the present effort is to scrutinize the consequences of convective heat transfer in bidirectional water driven hybridclass nanofluid involving blade shaped cadmium telluride CdTe and graphite C nanoparticles with electromagnetohydrodynamics (EMHD) process. The transport equations representing the aforementioned topic are firstly nondimensionalized by using scaling-group transformation and then tackled by the Keller-box method, numerically. The significant results for pertinent parameters have been simulated and presented graphically as well as in tabular forms. Coefficients of drag forces are diminished with the more loadings of cadmium telluride and graphite nanoparticles and opposite results are noticed in the case of the Nusselt number. Heat transport has been improved significantly with more loadings of nanoparticles from 1 wt% to 10 wt%. A comparison benchmark for a limited version of the investigation is made with the previously published data.

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“…It is difficult to convert the relaxation modulus and dynamic modulus in practical engineering, which creates a large inconsistency in their application in engineering practice and the finite element, resulting in the problem that relevant dynamic and static studies cannot achieve mutual verification. Therefore, many scholars have conducted relevant studies on this problem [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Zhao and Shen et al proposed an approximate conversion equation for calculating the stress relaxation modulus of solid propellants via the derivation, analysis, and correction of the theoretical conversion equation of dynamic–static mechanical properties based on dynamic–static viscoelastic experiments [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Numerical Conversion Method for the Dynamic Storage Modulus and Relaxation Modulus of Hydroxy-Terminated Polybutadiene (HTPB) Propellants

Cao

et al. 2022

Polymers

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As a typical viscoelastic material, solid propellants have a large difference in mechanical properties under static and dynamic loading. This variability is manifested in the difference in values of the relaxation modulus and dynamic modulus, which serve as the entry point for studying the dynamic and static mechanical properties of propellants. The relaxation modulus and dynamic modulus have a clear integral relationship in theory, but their consistency in engineering practice has never been verified. In this paper, by introducing the “catch-up factor λ” and “waiting factor γ”, a method for the inter-conversion of the dynamic storage modulus and relaxation modulus of HTPB propellant is established, and the consistency between them is verified. The results show that the time region of the calculated conversion values of the relaxation modulus obtained by this method covers 10−8–104 s, spanning twelve orders of magnitude. Compared to that of the relaxation modulus (10−4–104 s, spanning eight orders of magnitude), an expansion of four orders of magnitude is achieved. This enhances the expression ability of the relaxation modulus on the mechanical properties of the propellant. Furthermore, when the conversion method is applied to the dynamic–static modulus conversion of the other two HTPB propellants, the results show that the correlation coefficient between the calculated and measured conversion values is R2 > 0.933. This proves the applicability of this method to the dynamic–static modulus conversion of other types of HTPB propellants. It was also found that λ and γ have the same universal optimal value for different HTPB propellants. As a bridge for static and dynamic modulus conversion, this method greatly expands the expression ability of the relaxation modulus and dynamic storage modulus on the mechanical properties of the HTPB propellant, which is of great significance in the research into the mechanical properties of the propellant.

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Numerical exploration of thermal transport in water-based nanoparticles: A computational strategy

Cited by 24 publications

References 25 publications

Thin film flow and heat transfer of Cu-nanofluids with slip and convective boundary condition over a stretching sheet

Thin film flow and heat transfer of Cu-nanofluids with slip and convective boundary condition over a stretching sheet

Convective Heat Transport in Bidirectional Water Driven Hybrid Nanofluid Using Blade Shaped Cadmium Telluride and Graphite Nanoparticles under Electromagnetohydrodynamics Process

Numerical Conversion Method for the Dynamic Storage Modulus and Relaxation Modulus of Hydroxy-Terminated Polybutadiene (HTPB) Propellants

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