Return
Sensitivity analysis of the wire-coting process using a generalized Newtonian nanofluid with temperature-dependent properties
A
A
DOI:10.1016/j.jppr.2026.02.008.png)
Abstract
En 中文
In this work the Carreau-Yasuda nanofluid is used to coat the wire in pressure type die. The properties of the liquid are considered temperature dependent in this study. This study involves theoretical results and data is collected with suitable numerical scheme Runge-Kutta-Fehlberg method. This numerical data is further utilized to check the parametric sensitivity of coated thickness and heat transfer rate with Surface Methodology (RSM). In order to do this, we formulated Analysis of Variance (ANOVA) tables and establish correlations between our results and the input parameters. The wire-coated thickness (R) is more sensitive to variable thermal conductivity; the wire-coated thickness decreases with increasing the values of variable viscosity. The current analysis reveals that the heat transfer rate (Nur) is very less sensitive to thermophoretic effects at a low level as we input the higher value of the thermophoretic the depth of the heat transfer rate (Nur) starts reducing. It is observed that heat transfers rate (Nur) decreases 215.29% and 8.45% by increasing thermophoretic parameter (Nt) and Brownian motion (Nb) from 0 to 1 and Nb from 0.1 to 1 respectively. Increasing the values of variable viscosity parameter from 0 to 3, the radius of coated thickness, shear stress and heat transfer rate decreases 8.59%, 96.1% and 129.15% respectively.
Keywords:
Wire-coating
Response surface methodology
Buongiorno model
Coated thickness
Runge-Kutta-Fehlberg algorithm
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.3
Papers:
336
Citations:
1.7K
