Theoretical investigation and sensitivity analysis of non-Newtonian fluid during roll coating process by response surface methodology DOI Creative Commons
Fateh Ali,

Basma Souayeh,

Yanren Hou

et al.

Open Physics, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract In the current investigation, we propose analytical and numerical solutions of Navier–Stokes equation for reverse roll coating process (RRCP) using a bath Sisko fluid model (SFM). A suitable transformation is applied to partial differential equation-based mathematical SFM-RRCP, resulting in set nonlinear ordinary equations. The perturbation method has been employed find velocity, flow rate, pressure gradient, pressure, temperature distribution. Newton–Raphson used thickness. Furthermore, integration compute some mechanical quantities interest, including power input separation force. Sensitivity analysis another approach implemented response surface methods examine impacts velocity ratio non-Newtonian parameters on thickness, input, separating forces. residual graphs contour diagrams are also shown. It observed that as value increases, profile decreases. However, thickness web decreasing function. Further, it points moved toward nip region when was raised. Moreover, sensitivity forces negative.

Language: Английский

CFD Study and Regression Analysis of the MHD Mixed Convection of CNT-Water Nanofluid in a Vented Rounded Edge Rectangular Cavity Having Inner Vertical Rod Bundle DOI Creative Commons
Walid Aich, Inès Hilali-Jaghdam, Amnah Alshahrani

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(23), P. 3677 - 3677

Published: Nov. 24, 2024

Abstract: This current work provides a comprehensive Computational Fluid Dynamics (CFD) investigation of three-dimensional magnetohydrodynamic (MHD) mixed convection carbon nanotube (CNT)-water nanofluid within vented rectangular cavity featuring an internal vertical rod bundle with circular, square, and triangular cross-sections. The finite element method (FEM) was used to investigate the effects key parameters, including Richardson number (0.01 ≤ Ri 10), Hartmann (0 Ha 100), CNT nanoparticle concentration ф 0.045), in relation fluid flow heat transfer performance. incorporation increases nanofluid’s capacity by up 22%, highest average Nusselt (Nuav) achieved circular rods at = 0.045, which corresponds higher convective efficiency. magnetic field further stabilizes reducing thermal irregularities, 15% improvement temperature distribution uniformity when 100. investigation’s outcomes reveal that due their smoother geometries, exhibit better exchange rates compared square rods. Moreover, polynomial regression model is correlate governing parameters rates, it achieves high R2 0.964. These findings highlight potential CNT-water applications for management optimization various engineering systems.

Language: Английский

Citations

0
Recycled Aggregate Concrete Incorporating GGBS and Polypropylene Fibers Using RSM and Machine Learning Techniques DOI Creative Commons

Anjali Jaglan,

R. Singh

Buildings, Journal Year: 2024, Volume and Issue: 15(1), P. 66 - 66

Published: Dec. 28, 2024

In this study, Response Surface Methodology (RSM) and machine learning models were used to predict the mechanical properties of recycled aggregate concrete (RAC) containing ground granulated blast furnace slag (GGBS) polypropylene fibers (PPFs). The investigation focused on compressive strength (CS) split tensile (STS) tests at curing periods 7, 28, 56, 90 days, with variations in percentages GGBS (0–50%), (RA) (0–100%), PPF (0–1%). RSM model showed high accuracy predicting both CS STS, statistically significant results (p-value < 0.0001). Among models, Gradient Boosting Machine (GBM) exhibited highest performance, achieving an R2 value 0.98961 during training testing phases for prediction. It also demonstrated strong STS prediction, MSE 0.02773, MAPE 2.69775, 0.99404 phase, 0.14141, 5.71691, 0.96947 testing. Stacked Ensemble Learning performed similarly GBM, 0.99251 0.96619 However, GBM consistently outperformed other terms balancing low error rates values across datasets. Distributed Random Forest provided performance but slightly higher lower than GBM. Overall, significantly enhanced workability concrete, highlighting importance these additives optimizing performance.

Language: Английский

Citations

0
Sensitivity analysis on optimizing heat transfer rate in hybrid nanofluid flow over a permeable surface for the power law heat flux model: Response surface methodology with ANOVA test DOI Creative Commons
S. R. Mishra, Subhajit Panda, Mansoor H. Alshehri

et al.

AIMS Mathematics, Journal Year: 2024, Volume and Issue: 9(5), P. 12700 - 12725

Published: Jan. 1, 2024

<abstract> <p>Joule dissipation has an important role in the conversion of mechanical energy to heat within a fluid due internal friction and viscosity. Moreover, Darcy is measure resistance flow porous medium. In response efficient transfer performance, robust statistical approach was established optimize rate two-dimensional nanofluid over permeable surface embedded with matrix. The electrically conducive affected phenomena include carbon nanotube nanoparticle conventional liquid water for enhanced properties; additionally, power-law flux model considered. Appropriate transformation rules were adopted obtain non-dimensional system that brought developed equipped several factors. traditional numerical technique (i.e., shooting based Runge-Kutta) proposed handle coupled nonlinear system. Furthermore, methodology (RSM) optimized transportation considered An analysis variance (ANOVA) utilized validate result regression analysis. However, it evident concentrations useful augment velocity temperature distributions; displayed effect as compared effect.</p> </abstract>

Language: Английский

Citations

0
Micro Heat Exchanger: Design, Operation and Economics DOI
Somayeh Sohrabi, Leila Hajshahvaladi, Hamid Reza Ahmadzadeh

et al.

Chemical Engineering & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Where precision is paramount in managing temperature and fluid dynamics, micro heat exchangers (MHXs) emerge as indispensable tools. This review investigates the significance of MHX technology, offering readers a comprehensive roapmap from conceptualization to market application. We dissect nuances material selection, shedding light on cutting‐edge advancements poised revolutionize efficiency. Furthermore, we explore how geometry influences transfer dynamics pressure drop, providing insights into enhancing overall effectiveness. delve various types control instrumentation, detailed analysis their applicability. Beyond technical prowess, economic landscape plays pivotal role adoption technology.

Language: Английский

Citations

0
Theoretical investigation and sensitivity analysis of non-Newtonian fluid during roll coating process by response surface methodology DOI Creative Commons
Fateh Ali,

Basma Souayeh,

Yanren Hou

et al.

Open Physics, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract In the current investigation, we propose analytical and numerical solutions of Navier–Stokes equation for reverse roll coating process (RRCP) using a bath Sisko fluid model (SFM). A suitable transformation is applied to partial differential equation-based mathematical SFM-RRCP, resulting in set nonlinear ordinary equations. The perturbation method has been employed find velocity, flow rate, pressure gradient, pressure, temperature distribution. Newton–Raphson used thickness. Furthermore, integration compute some mechanical quantities interest, including power input separation force. Sensitivity analysis another approach implemented response surface methods examine impacts velocity ratio non-Newtonian parameters on thickness, input, separating forces. residual graphs contour diagrams are also shown. It observed that as value increases, profile decreases. However, thickness web decreasing function. Further, it points moved toward nip region when was raised. Moreover, sensitivity forces negative.

Language: Английский

Citations

0