Kinetic models and distribution of activation energy in complex systems using Hopfield Neural Network

Araújo, Natália R.S.; Duarte, Álvaro C.M.; Pujatti, Fabrício José Pacheco; Freitas-Marques, Maria Betânia de; Sebastião, Rita C. O.

doi:10.1016/j.tca.2020.178847

Cited by 7 publications

(1 citation statement)

References 25 publications

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“…Hayat et al [15] evaluated the effect of activation energy on entropy generation (EG) in a 3-dimensional magnetohydrodynamic (MHD) rotational flowing of nanofluids containing a binary chemical process. Araújo et al [16] scrutinized the kinetic modeling and Arrhenius activation energy distributions in complicated systems with Hopfield Neural Network-based system. Elangovan and Natarajan [17] reported the primary treatment influences on qualitative characteristics, hydration diffusivity, and Arrhenius activation energy of solar drying gourd.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Higher-Order Slip Consequence in Bioconvection Nanofluid Flow Configured by a Variable Thick Surface of Disk

Waqas

Yasmin

Althobaiti

et al. 2022

Journal of Nanomaterials

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For innovations in manufacturing and engineering scientific fields, the devices (electrical and computer systems) with large thermal effectiveness are needed. As a result, their thermal efficiency has become a very hot problem for many canvassers. With the novelty of this analysis, a mathematical study is performed to estimate the Darcy-Forchheimer flow of viscous magnetized fluid with Arrhenius activation energy and bioconvection effects through a variable thick surface of a rotating disk. The impact of thermal conductivity, heat source, and nonlinear thermal radiation is considered. The higher-order velocity slip impacts are also scrutinized. The system of partial differential equations (PDEs) and specific boundary restrictions is altered into a system of ODEs by adopting the suitable similarity transformations. The reduced ODE’s system is tackled with the aid of shooting scheme under (bvp4c) built-in tool commercial software MATLAB. Moreover, the effects of different parameters over velocity components, thermal conductivity, concentration, and microorganism’s fields are also examined. The confirmation of our findings is also explained through tables and graphical results. The results revealed that the radial velocity increases with the growing estimations of mixed convection parameter. The second-order velocity slip in radial direction causes a decrement in the estimation of axial velocity. Temperature distribution increases with a larger temperature ratio parameter. The concentration field of species and microorganism profile is reduced via a Brownian motion parameter and Peclet number, respectively.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Higher-Order Slip Consequence in Bioconvection Nanofluid Flow Configured by a Variable Thick Surface of Disk

Waqas

Yasmin

Althobaiti

et al. 2022

Journal of Nanomaterials

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Physicochemical characterisation and kinetic modelling of wet torrefied oil palm trunk in pyrolysis condition

Wang,

Phang,

Soh

et al. 2024

Asia-Pacific J Chem Eng

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Over 218 million tonnes of oil palm trunks (OPT) waste is produced annually by Malaysian oil palm industry, which can be converted to biofuels via wet torrefaction. This study assessed the fuel characteristics of wet torrefied OPT (WT‐OPT) using proximate analysis, higher heating value (HHV) analysis, Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy–energy dispersive X–ray spectroscopy (SEM–EDX). Increasing wet torrefaction temperature and residence time increased the fixed carbon content and HHV of OPT. SEM–EDX revealed the presence of microspheres of 5‐hydroxymethylfurfural (5‐HMF) in OPT wet torrefied at 180 and 220°C for 72 h, an intermediate compound that can contribute to the HHV enhancement in WT‐OPT. FTIR and EDX results revealed that higher temperature and residence time concentrate the carbon content of OPT. Wet torrefaction at 180°C for 72 h decreased the activation energy and pre‐exponential factor of OPT from 301.88 to 171.70 kJ mol−1 and from 4.43 × 1028 to 3.25 × 1012 s−1, respectively, during pyrolysis. The estimated thermodynamic parameters, particularly the change in entropy which generally decreased by more than 140 J mol−1 K−1, indicated increase in stability of certain WT‐OPT.

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Kinetic study of domestic sewage sludge combustion using Hopfield neural network

Araújo

Amaral

Pujatti

et al. 2022

J Therm Anal Calorim

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Kinetic models and distribution of activation energy in complex systems using Hopfield Neural Network

Cited by 7 publications

References 25 publications

Evaluating the Higher-Order Slip Consequence in Bioconvection Nanofluid Flow Configured by a Variable Thick Surface of Disk

Evaluating the Higher-Order Slip Consequence in Bioconvection Nanofluid Flow Configured by a Variable Thick Surface of Disk

Physicochemical characterisation and kinetic modelling of wet torrefied oil palm trunk in pyrolysis condition

Kinetic study of domestic sewage sludge combustion using Hopfield neural network

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