4.7 Article

Utilizing artificial neural networks to predict the thermal performance of conical tubes with pulsating flow

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Upgrading the performance of shell and helically coiled heat exchangers with new flow path by using TiO2/water and CuO-TiO2/water nanofluids

Azim Dogus Tuncer et al.

Summary: The importance of efficient energy systems has increased with the development of technology. Shell and helically coiled heat exchangers are widely used in various applications due to their superior specifications. This study aimed to enhance the thermal performance of these heat exchangers using single and hybrid nanofluids, and also analyzed the effect of adding fins. The results showed that both TiO2/water and CuO-TiO2/water nanofluids significantly improved the overall heat transfer coefficient, and the hybrid nanofluid performed better than the single nanofluid. The outcomes also demonstrated the positive impact of integrating fins on performance enhancement.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2023)

Article Thermodynamics

Heat transfer and exergy efficiency analysis of 60% water and 40% ethylene glycol mixture diamond nanofluids flow through a shell and helical coil heat exchanger

L. Syam Sundar et al.

Summary: The thermodynamic, heat transfer and thermal performance factor of nanodiamond (ND) nanofluids in a shell and helical coiled tube heat exchanger were analyzed experimentally. The study investigated the effects of different particle volume loadings on these factors.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2023)

Article Thermodynamics

Hybrid CFD-ANN approach for evaluation of bio-inspired dolphins dorsal fin turbulators of heat exchanger in turbulent flow

Iman Bashtani et al.

Summary: The present investigation evaluates the effects of bio-inspired Dolphin's dorsal fin turbulators in a counter flow double pipe heat exchanger. The results show that the streamlined geometry of the turbulator reduces friction loss and improves heat transfer by destroying the boundary layer.

APPLIED THERMAL ENGINEERING (2023)

Article Thermodynamics

Artificial neural networks application on friction factor and heat transfer coefficients prediction in tubes with inner helical-finning

A. N. Skrypnik et al.

Summary: A new model of artificial neural network is proposed in this study to predict friction factor and heat transfer coefficients for turbulent flow in tubes with inner helical-finning. The model applies to all types of inner helical tube finning and achieves good accuracy over the entire database.

APPLIED THERMAL ENGINEERING (2022)

Article Thermodynamics

Application of two-phase pulsating flow in organic Rankine cycle system for diesel engine waste heat recovery

Wujie Zhang et al.

Summary: The article discusses the use of organic Rankine cycle in recovering waste heat from internal combustion engines and emphasizes the importance of improving evaporator performance. The study analyzes the two-phase flow characteristics of R245fa under continuous and pulsating flows and uses particle swarm optimization to optimize the parameters of the pulsating flow in a diesel engine operating under motorway road conditions. The results show that pulsating flow with a high angular frequency effectively improves the heat transfer performance of R245fa.

ENERGY (2022)

Article Thermodynamics

The investigation of molten pool dynamic behaviors during the ∞ shaped oscillating laser welding of aluminum alloy

Yuewei Ai et al.

Summary: The study shows that in the infinity shaped oscillating laser welding, the molten pool formed is wide and shallow, with a flat bottom, and complex fluid flow characteristics. By adjusting the oscillating amplitude and frequency, the maximum temperature and flow velocity of the molten pool can be reduced, making the pool more stable and shallower, which helps to reduce weld porosity.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2022)

Article Thermodynamics

Effect of cathode pulsating flow on mass transport and performance of solid oxide fuel cell

Abir Yahya et al.

Summary: The study investigates the impact of pulsating flow on the performance of a SOFC, finding that pulsating flow enhances convection species transport and increases cell performance. Pulsation frequency has a minimal effect, while increasing pulsation amplitude improves cell performance.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2022)

Article Thermodynamics

Profit and efficiency enhancement of a cylindrical solar collector by structural modification of helical tube

Jie Luo et al.

Summary: This research evaluates the influence of applying helical corrugation on a helical absorber in terms of energy achievement. The results show that the presence of helical corrugation can enhance heat transfer and provide economic advantage, especially at lower Dean numbers.

CASE STUDIES IN THERMAL ENGINEERING (2022)

Review Thermodynamics

Flow and heat transfer in the eccentric annulus of the helically coiled tube-in-tube heat exchanger used in an aero-engine

Muyi Fan et al.

Summary: This study investigated the impact of eccentricity on flow and heat transfer in a helically coiled tube-in-tube heat exchanger used in an aero-engine. The results showed that positive eccentricity enhanced heat transfer while negative eccentricity decreased heat transfer. It is important to consider the eccentricity caused by thermal deformation in the design of such heat exchangers.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2022)

Article Engineering, Manufacturing

Electrochemical milling of deep-narrow slots with a pulsating electrolyte flow field

Xiaolei Chen et al.

Summary: This paper proposes a method of electrochemical milling of deep-narrow slots (DNSs) with a pulsating flow field. By designing a tubular tool with a wedge-shaped end face, the quantity and velocity of electrolyte flowing into the inter-electrode gap (IEG) can be changed, leading to improved machining quality and efficiency. Experimental results demonstrate the successful fabrication of high-quality DNSs with optimized parameters.

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY (2022)

Article Computer Science, Artificial Intelligence

A general model for flow boiling heat transfer in microfin tubes based on a new neural network architecture

Lingnan Lin et al.

Summary: A new neural network architecture called DimNet was developed to correlate dimensionless quantities with power-law-like relations. The architecture is interpretable and was used to develop a data-driven empirical model for predicting the heat transfer coefficient of flow boiling. The model achieved excellent prediction performance and captured the parametric trends of the heat transfer coefficient.

ENERGY AND AI (2022)

Article Thermodynamics

Multi-objective optimization of micro-fin helical coil tubes based on the prediction of artificial neural networks and entropy generation theory

Jiaming Cao et al.

Summary: The heat transfer, flow resistance, and entropy generation characteristics of micro-fin helical coil tubes (MFHCTs) were numerically investigated, and the performance was compared to smooth helical coil tubes (SHCT). Artificial neural networks (ANNs) were used for prediction, showing better results than multiple linear regression. Optimization using entropy minimization method and NSGA-III algorithm highlighted the importance of higher Reynolds number, larger coil diameter, and coil pitch for better performance of MFHCT. The optimal Pareto points can guide the design and operation conditions of micro-fin helical coil tubes.

CASE STUDIES IN THERMAL ENGINEERING (2021)

Article Thermodynamics

Energy and entropy generation analyses of a nanofluid-based helically coiled pipe under a constant magnetic field using smooth and micro-fin pipes: Experimental study and prediction via ANFIS model

Sajjad Safarzadeh et al.

Summary: This experimental study focuses on expanded energy and entropy generation analyses for a helically coiled pipe using micro-fin tube and magnetic field, investigating the influence of various coil diameters, coil pitches, and test fluids. The ANFIS model accurately predicts Nusselt number, friction factor, and entropy generation, with the optimal cases identified in terms of exergy viewpoint. The average relative errors for the predicted results are found to be 0.67%, 4.48%, and 2.83% for Nusselt number, friction factor, and entropy generation, respectively.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2021)

Article Energy & Fuels

Thermal performance characteristics of a triple spiral tube heat exchanger

Mahmoud Abdelmagied

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION (2020)

Article Thermodynamics

Heat transfer and flow characteristics of a conical coil heat exchanger

A. Sheeba et al.

INTERNATIONAL JOURNAL OF REFRIGERATION (2020)

Article Engineering, Chemical

The effect of flow pulsation on Al2O3 nanofluids heat transfer behavior in a helical coil: A numerical analysis

Wenwen Guo et al.

CHEMICAL ENGINEERING RESEARCH & DESIGN (2020)

Article Engineering, Chemical

Experimental research on the performance of nanofluid flow through conically coiled tubes

M. M. Heyhat et al.

POWDER TECHNOLOGY (2020)

Article Thermodynamics

Investigation of the triple conically tube thermal performance characteristics

Mahmoud Mohammed Abdelmagied

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2020)

Article Thermodynamics

Experimental study of a triple spirally coiled tube heat exchanger thermo-fluid characteristics

Mahmoud Abdelmagied

APPLIED THERMAL ENGINEERING (2020)

Article Thermodynamics

Numerical Study of Thermofluid Characteristics of a Double Spirally Coiled Tube Heat Exchanger

Mahmoud Abdelmagied

JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS (2019)

Article Thermodynamics

Heat transfer enhancement and pressure drop by pulsating flow through helically coiled tube: An experimental study

Hamed Khosravi-Bizhaem et al.

APPLIED THERMAL ENGINEERING (2019)

Article Thermodynamics

Study of the performance of a vapor compression refrigeration system using conically coiled tube-in-tube evaporator and condenser

M. R. Salem et al.

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID (2019)

Article Thermodynamics

Prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger through artificial neural network technique

Anas A. Rahman et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2018)

Article Thermodynamics

CFD study of heat transfer and pressure drop for oscillating flow in helical rectangular channel heat exchanger

Changzhao Pan et al.

INTERNATIONAL JOURNAL OF THERMAL SCIENCES (2018)

Article Nuclear Science & Technology

Conceptual design of a bayonet tube steam generator with heat transfer enhancement using a helical coiled downcomer

Andrea Bersano et al.

PROGRESS IN NUCLEAR ENERGY (2018)

Article Thermodynamics

Pulsating TiO2/water nanofluids flow and heat transfer in the spirally coiled tubes with different magnetic field directions

Paisarn Naphon et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2017)

Article Nuclear Science & Technology

Development of a computer code for thermalehydraulic design and analysis of helically coiled tube once-through steam generator

Yaoli Zhang et al.

NUCLEAR ENGINEERING AND TECHNOLOGY (2017)

Article Thermodynamics

An experimental investigation of heat transfer in a spiral-coil tube with pulsating turbulent water flow

H. Ramezani Kharvani et al.

HEAT AND MASS TRANSFER (2016)

Article Thermodynamics

Investigation on thermal analysis of conical coil heat exchanger

Pramod S. Purandare et al.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2015)

Article Thermodynamics

Prediction of heat transfer and flow characteristics in helically coiled tubes using artificial neural networks

Reza Beigzadeh et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2012)

Article Thermodynamics

Modeling of heat transfer enhancement by wire, coil inserts using artificial neural network analysis

M. R. Jafari Nasr et al.

APPLIED THERMAL ENGINEERING (2010)

Article Biochemical Research Methods

Artificial neural networks: fundamentals, computing, design, and application

IA Basheer et al.

JOURNAL OF MICROBIOLOGICAL METHODS (2000)