2021
DOI: 10.3390/su13063023
|View full text |Cite
|
Sign up to set email alerts
|

Heat and Fluid Flow Analysis and ANN-Based Prediction of A Novel Spring Corrugated Tape

Abstract: A circular tube fitted with novel corrugated spring tape inserts has been investigated. Air was used as the working fluid. A thorough literature review has been done and this geometry has not been studied previously, neither experimentally nor theoretically. A novel experimental investigation of this enhanced geometry can, therefore, be treated as a new substantial contribution in the open literature. Three different spring ratio and depth ratio has been used in this study. Increase in thermal energy transport… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 16 publications
(3 citation statements)
references
References 84 publications
(102 reference statements)
0
3
0
Order By: Relevance
“…Souayeh et al tried to show the thermal performance of a circular tube fitted with corrugated spring tape inserts and highlights its potential for constructing heat exchangers. 36 The paper presents a statistical examination of heat transfer and fluid flow by constructing a machine learning model based on an artificial neural network which can help researchers understand and predict the output of heat transfer enhancement-based experiments. Skrypink et al presented a new artificial neural network model to estimate the friction factor and heat transfer coefficients for turbulent flow in tubes with inner helical finning.…”
Section: Introductionmentioning
confidence: 99%
“…Souayeh et al tried to show the thermal performance of a circular tube fitted with corrugated spring tape inserts and highlights its potential for constructing heat exchangers. 36 The paper presents a statistical examination of heat transfer and fluid flow by constructing a machine learning model based on an artificial neural network which can help researchers understand and predict the output of heat transfer enhancement-based experiments. Skrypink et al presented a new artificial neural network model to estimate the friction factor and heat transfer coefficients for turbulent flow in tubes with inner helical finning.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al (Kumar et al, 2019b) discussed the MHD stagnation point flow of Williamson and Casson fluids past an extended cylinder: a new heat flux model. Many related publications can be found also in the references (Saha et al, 2012;Bhattacharyya et al, 2016;Bhattacharyya et al, 2018;Bhattacharyya et al, 2019;Bhattacharyya, 2020a;Bhattacharyya et al, 2020a;Bhattacharyya, 2020b;Bhattacharyya et al, 2020b;Souayeh et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, there have been many laboratory experiments on heat augmentation techniques that utilize twisted tape as a passive technique [4][5][6][7][8][9][10][11]. Following this, the CFD modelling methodology was developed as a strong and useful method for better understanding complicated hydrodynamics [12][13][14][15][16][17][18] in many industrial processes, thanks to developments in computer hardware and software and the resulting increase in calculation speed.…”
Section: Introductionmentioning
confidence: 99%