Exploring Pressure Dynamics in Rough-Surfaced U-Bend Pipelines: A Comparative Study of Water and Nanofluid Composites Across Varying Mass Flow Rates

This study investigates fluid flow in U-bend pipes with rough walls, an essential aspect of fluid engineering to improve system efficiency in applications such as heat exchangers and industrial piping. It compares numerical calculation results with Computational Fluid Dynamics (CFD) simulations performed in Ansys Fluent for three types of fluids: water, nano-Al₂O₃ (Water/Al₂O₃), and nano-ZnO (Water/ZnO), at mass flow rates of 0.74 kg/s, 0.75 kg/s, and 0.76 kg/s. These findings are validated against a reference value of 0.735 kg/s from Ansys. The results indicate an increase in total pressure with rising mass flow rates: water achieved the highest total pressure, ranging from 2132.72 Pa (at 0.74 kg/s) to 2252.316 Pa (at 0.76 kg/s), followed by Water/Al₂O₃, with pressures from 2100.92 Pa to 2220.59 Pa, and Water/ZnO, which had the lowest pressures ranging from 2091.69 Pa to 2208.73 Pa. ANOVA analysis reveals a significant impact of both fluid type and mass flow rate on total pressure, along with a significant interaction between the two factors. This underscores the importance of selecting appropriate combinations of fluid type and flow rate for optimal efficiency and reliability in industrial system design.

Authors

Publication Details

Journal
Semarak International Journal of Nanotechnology
Published
2024-12-31
DOI
https://doi.org/10.37934/sijn.3.1.121
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Pressure Dynamics in Rough-Surfaced U-Bend Pipelines: A Comparative Study of Water and Nanofluid Composites Across Varying Mass Flow Rates

Singgih Dwi Prasetyo, Mochamad Subchan Mauludin, Catur Harsito, Yuki Trisnoaji et al.
Semarak International Journal of Nanotechnology
Geotechnical Engineering and Underground Structures
article

Exploring Pressure Dynamics in Rough-Surfaced U-Bend Pipelines: A Comparative Study of Water and Nanofluid Composites Across Varying Mass Flow Rates

Singgih Dwi Prasetyo, Mochamad Subchan Mauludin, Catur Harsito, Yuki Trisnoaji, Abram Anggit
article en

Abstract

This study investigates fluid flow in U-bend pipes with rough walls, an essential aspect of fluid engineering to improve system efficiency in applications such as heat exchangers and industrial piping. It compares numerical calculation results with Computational Fluid Dynamics (CFD) simulations performed in Ansys Fluent for three types of fluids: water, nano-Al₂O₃ (Water/Al₂O₃), and nano-ZnO (Water/ZnO), at mass flow rates of 0.74 kg/s, 0.75 kg/s, and 0.76 kg/s. These findings are validated against a reference value of 0.735 kg/s from Ansys. The results indicate an increase in total pressure with rising mass flow rates: water achieved the highest total pressure, ranging from 2132.72 Pa (at 0.74 kg/s) to 2252.316 Pa (at 0.76 kg/s), followed by Water/Al₂O₃, with pressures from 2100.92 Pa to 2220.59 Pa, and Water/ZnO, which had the lowest pressures ranging from 2091.69 Pa to 2208.73 Pa. ANOVA analysis reveals a significant impact of both fluid type and mass flow rate on total pressure, along with a significant interaction between the two factors. This underscores the importance of selecting appropriate combinations of fluid type and flow rate for optimal efficiency and reliability in industrial system design.

Semarak International Journal of NanotechnologyVol. 3(1)
Openalex Percentile: Top 69%
Geotechnical Engineering and Underground Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.