International Communications in Heat and Mass Transfer最新文献

Modeling the mechanical behavior of platinum-graphene nanocomposites prepared via powder metallurgy at various initial temperatures and pressures

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108727

Yi Ru , Ali Basem , Rasha Abed Hussein , Narinderjit Singh Sawaran Singh , Mohammed Al-Bahrani , Soheil Salahshour , Ali Mokhtarian , M. Hekmatifar , Mengxia Wang

Introduction

This study investigated the mechanical properties of platinum-graphene nanocomposites synthesized through powder metallurgy, focusing on how temperature and pressure affected their behavior. The aim was to understand these influences, which are crucial for industrial and medical applications. Using molecular dynamics simulations, the study investigated to optimize these materials for enhanced performance, particularly in improving the biocompatibility of platinum-based materials for medical use.

Development

This study aimed to analyze the impact of various temperatures and pressures on the stress-strain curve, ultimate strength, and Young's modulus of platinum-graphene nanocomposites using molecular dynamics simulations. The study examined how these factors influenced the material's performance under different conditions.

Conclusion

The results indicate that ultimate strength decreased from 116 to 105 MPa, and Young's modulus decreased from 1099 to 1000 MPa as temperature increased from 300 to 400 K. This decrease was due to higher temperatures causing increased atomic vibrations and weaker interatomic bonds, reducing resistance to deformation and failure. Similarly, fracture stress decreased from 106.744 to 97.655 MPa, and the strain ratio decreased from 27.15 to 25.92 at the fracture stress point with rising temperature. Conversely, changing the pressure from 1 to 5 bar resulted in an increase in Young's modulus and ultimate strength to 1297 MPa and 137 MPa, respectively. Higher pressure enhanced atomic packing, strengthening interatomic bonds and improving fracture resistance. At 5 bar pressure, fracture stress rose from 106.744 to 119.40 MPa, while the strain ratio at the fracture stress point increased from 27.15 to 31.914. In conclusion, temperature and pressure significantly influenced the mechanical properties of platinum-graphene nanocomposites, impacting their industrial and medical applications.

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引用次数: 0

Experimental investigations on heat transfer to highly buoyant sCO2 flows in a large horizontal tube

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108725

Xiongzhou Xie , Jishuang Gong , Jianyong Wang

The horizontal layout is commonly employed for heat exchangers equipped within energy and power systems. However, experimental investigations on horizontal supercritical heat transfer are scarce, with limited published studies primarily focusing on small-diameter (below 10 mm) tubes. In this work, the flow and heat transfer experiments of horizontal sCO₂ within a large tube (22.14 mm) have been conducted under mass fluxes of

100 - 225 kg \cdot m^{- 2} \cdot s^{- 1}

, heat fluxes of

5 - 25 kW \cdot m^{- 2}

, inlet temperatures of

15 - 45^{°} C

and pressures of

7.75 - 9 MPa

. The results indicate that buoyancy effects are significant for all the operating conditions. The ratio of

{Nu}_{top} / {Nu}_{bottom}

gradually decreases as the buoyancy level strengthens. Further analysis reveals that the buoyancy-driven natural convection significantly enhances bottom heat transfer, with improvements even up to be eightfold; whereas for the top surface, buoyancy effects generally have a negative impact on heat transfer except within initial heating section where a limited number of enhancement data may occur. The wall temperature peak over the top surface induced by heat transfer deterioration has also been identified using the buoyancy parameter. In addition, the existing heat transfer correlations exhibit considerable deviations in predicting the experimental results, and new Nusselt correlations have been developed and validated for the sCO₂ heat transfer in this large size pipe with strong buoyancy.

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引用次数: 0

Prediction of overall heat transfer coefficient in concentric tube heat exchangers using artificial neural networks: A comparative study with empirical correlations

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108723

Ahmed Mohsin Alsayah , Mohammed J. Alshukri , Samer Ali , Jalal Faraj , Mahmoud Khaled

This study presents the development and implementation of an Artificial Neural Network (ANN) model for predicting the

U

-value in a counter-flow concentric tube heat exchanger (CTHE). A dataset comprising 2,700 CFD simulations was generated by varying key parameters, including Reynolds numbers (1,000–20,000), fluid pairings (hot air-cold air, hot air-cold water,hot water-cold air, and hot water-cold water), inner diameters (0.01–0.05 m), diameter ratios (1.25, 1.5, and 3), and heat exchanger lengths (0.4–4 m). The simulations captured both laminar and turbulent flow regimes, providing a robust basis for training the ANN model. The neural network, comprising three hidden layers, L2 regularization and ReLU activation, demonstrated excellent accuracy, with a low mean absolute error (MAE) of 5.503 and mean absolute percentage error (MAPE) of 3.08%, as evaluated on the test dataset. The ANN model demonstrated superior performance compared to traditional empirical correlations from the literature, such as those by Baehr and Stephan, Dittus and Boelter, and Gnielinski, particularly in mixed flow regimes (laminar-turbulent and turbulent-laminar). While existing literature correlations in these regimes often exceeded 20% APE, our ANN model demonstrated a median APE of less than 1%. This illustrates the superiority of the artificial neural network (ANN) in capturing complex heat transport dynamics over empirical models. Furthermore, SHAP feature importance analysis revealed that the cold fluid thermal conductivity, hot fluid Reynolds number, hot fluid dynamic viscosity and inner diameter have the greatest impact on the overall heat transfer coefficient. The ANN model offers a flexible and accurate alternative to empirical correlations, with the potential to be extended to more complex heat exchanger configurations and additional performance metrics such as pressure drop and heat exchanger effectiveness.

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引用次数: 0

Numerical simulation and machine learning study on heat transfer enhancement of nanofluids in Taylor–Couette flow with an elliptical slit surface

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108788

Si-Liang Sun , Dong Liu , Can Kang , Hyoung-Bum Kim , Ya-Zhou Song , Peng-Gang Zhang

Energy-efficient and high-performance rotating machinery is essential to address the pressing global need for energy consumption saving and emission reduction. One critical design challenge for their thermal performance is managing the maximum hotspot temperature in annular gaps. To tackle this issue, nanofluids is used to enhance the heat transfer efficiency of Taylor-Couette flows. The flow and heat transfer characteristics of Al₂O₃/water nanofluid within annular gap is evaluated in present study. The Eulerian-Lagrangian method is employed to track the trajectories of the particles. In addition, machine learning is considered to predict the flow and heat transfer behavior of nanofluid. The findings indicate that the heat transfer performance of Taylor-Couette flow is positively correlated with volume fraction and negatively correlated with particle size, while the friction factor follows a similar trend. The maximum thermal performance factor is 1.064. The enhanced heat transfer performance of nanofluid is attributed to the migratory motion of particles from the inner to the outer cylinder and the microturbulence of particles within the boundary layer. Adaptive neuro-fuzzy inference system (ANFIS) serves as the most effective model in predicting Nu, while the Multigene genetic programming (MGGP) presents good results in estimating f. The high-precision predictive model for the convective heat transfer of nanofluid in annular gap is established with the assistance of machine learning.

{"title":"Numerical simulation and machine learning study on heat transfer enhancement of nanofluids in Taylor–Couette flow with an elliptical slit surface","authors":"Si-Liang Sun , Dong Liu , Can Kang , Hyoung-Bum Kim , Ya-Zhou Song , Peng-Gang Zhang","doi":"10.1016/j.icheatmasstransfer.2025.108788","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108788","url":null,"abstract":"<div><div>Energy-efficient and high-performance rotating machinery is essential to address the pressing global need for energy consumption saving and emission reduction. One critical design challenge for their thermal performance is managing the maximum hotspot temperature in annular gaps. To tackle this issue, nanofluids is used to enhance the heat transfer efficiency of Taylor-Couette flows. The flow and heat transfer characteristics of Al<sub>2</sub>O<sub>3</sub>/water nanofluid within annular gap is evaluated in present study. The Eulerian-Lagrangian method is employed to track the trajectories of the particles. In addition, machine learning is considered to predict the flow and heat transfer behavior of nanofluid. The findings indicate that the heat transfer performance of Taylor-Couette flow is positively correlated with volume fraction and negatively correlated with particle size, while the friction factor follows a similar trend. The maximum thermal performance factor is 1.064. The enhanced heat transfer performance of nanofluid is attributed to the migratory motion of particles from the inner to the outer cylinder and the microturbulence of particles within the boundary layer. Adaptive neuro-fuzzy inference system (ANFIS) serves as the most effective model in predicting <em>Nu</em>, while the Multigene genetic programming (MGGP) presents good results in estimating <em>f</em>. The high-precision predictive model for the convective heat transfer of nanofluid in annular gap is established with the assistance of machine learning.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108788"},"PeriodicalIF":6.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heat transfer coefficient for upward forced convective flows of heated supercritical carbon dioxide in vertical tubes

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108732

Kwun Ting Lau, Jiyun Zhao, Takashi Hibiki

Accurate heat transfer prediction is crucial for optimizing supercritical power cycles. This study presents new Nusselt number correlations for forced convection heat transfer of supercritical carbon dioxide flowing upward in heated tubes. Existing correlations often suffer from reduced accuracy near the pseudocritical point. The study addresses this challenge by employing a systematic correlation modelling framework to develop region-specific correlations tailored to distinct fluid regions, namely liquid-like, near-pseudocritical, and gas-like regions. A novel interpolation methodology utilizing sigmoid functions is implemented to ensure smooth transitions between these regions. Furthermore, stability functions based on kinematic viscosity are introduced to enhance the stability of the correlations during iterative processes. The resulting three-variable correlation, incorporating the Reynolds number, Prandtl number, and a stability function, demonstrates significantly improved accuracy relative to existing correlations, achieving a maximum percentage error of 52 % and a mean absolute percentage error of 11 %. This work provides valuable tools for the design and optimization of supercritical power cycles, particularly during transient events in which precise heat transfer predictions are essential.

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引用次数: 0

Numerical investigation on the dual influence mechanism of combustion cracking reaction on thermal protection/resistance in transpiration cooling

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108785

Jiayue Zheng , Xue Liu , Yuyang Bian , Yanqi Diao , Weixing Zhou

Transpiration cooling is an effective method in solving the complex and variable thermal environment. Employing fuel as a coolant has proven to be an efficacious approach for enhancing the aircraft payload, but the combustion-cooling coupling effect of fuel as coolant is a worthy study subject. The present study utilizes n-decane as coolant to conduct a numerical simulation of the transpiration cooling involving combustion reaction under supersonic conditions, based on thermal equilibrium model. Combustion liberates heat in outer zone of boundary layer, it also strengthens turbulent heat transport capacity of the fluid, consequently enhancing heat transfer of high-enthalpy mainstream to porous wall. Simultaneously, combustion reaction enlarges low momentum region within the boundary layer. This reduction in the influence of the aerodynamic thermal load is beneficial for thermal protection. Boosting the coolant injection rate can effectively diminish wall temperature, but it also induces an increase in wall friction coefficient. Furthermore, enhancing coolant injection rate causes a growth in comprehensive heat transfer coefficient and subsequently weakens whole thermal protection effect. Research conducted in this paper furnishes a valuable reference for the thermal protection where hydrocarbon fuel serves as a coolant.

{"title":"Numerical investigation on the dual influence mechanism of combustion cracking reaction on thermal protection/resistance in transpiration cooling","authors":"Jiayue Zheng , Xue Liu , Yuyang Bian , Yanqi Diao , Weixing Zhou","doi":"10.1016/j.icheatmasstransfer.2025.108785","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108785","url":null,"abstract":"<div><div>Transpiration cooling is an effective method in solving the complex and variable thermal environment. Employing fuel as a coolant has proven to be an efficacious approach for enhancing the aircraft payload, but the combustion-cooling coupling effect of fuel as coolant is a worthy study subject. The present study utilizes <em>n</em>-decane as coolant to conduct a numerical simulation of the transpiration cooling involving combustion reaction under supersonic conditions, based on thermal equilibrium model. Combustion liberates heat in outer zone of boundary layer, it also strengthens turbulent heat transport capacity of the fluid, consequently enhancing heat transfer of high-enthalpy mainstream to porous wall. Simultaneously, combustion reaction enlarges low momentum region within the boundary layer. This reduction in the influence of the aerodynamic thermal load is beneficial for thermal protection. Boosting the coolant injection rate can effectively diminish wall temperature, but it also induces an increase in wall friction coefficient. Furthermore, enhancing coolant injection rate causes a growth in comprehensive heat transfer coefficient and subsequently weakens whole thermal protection effect. Research conducted in this paper furnishes a valuable reference for the thermal protection where hydrocarbon fuel serves as a coolant.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108785"},"PeriodicalIF":6.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using evolutionary algorithms and group method of data handling ANN for prediction of the viscosity MWCNT-ZnO /oil SAE 50 nano-lubricant

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108749

Zuozhi Liu , Ali B.M. Ali , Rasha Abed Hussein , Narinderjit Singh Sawaran Singh , Mohammed Al-Bahrani , Barno Abdullaeva , Salman Saeidlou , Soheil Salahshour , Sh. Esmaeili

This study looked at ANNs' ability to predict the rheological properties of MWCNT-ZNO / Oil SAE 50 nano lubricant. Five artificial intelligence algorithms—Group Method of Data Handling (GMDH), Extreme Gradient Boosting (XGBoost), Multivariate Adaptive Regression Splines (MARS), Support vector machine (SVM), and Multilayer Perceptron (MLP)—were employed in this work to forecast this nanofluid. The most optimum objective function (μ_nf) as an output is the foundation of algorithms used in artificial intelligence. This capacity is developed so that the values predicted by ANN were more consistent with the laboratory numbers by combining GMDH with the metaheuristic approach. This combination enables the metaheuristic algorithm to optimize the evaluation indices and get the predicted data closer to the experimental data by using the GMDH activation parameters as input. For optimization, three metaheuristic algorithms are used, and the combination of GMDH and MOGWO produced the best results. Ultimately, the finest condition that could be achieved is found to have the following input data values: share rate (γ), temperature (T), and solid volume fraction (φ): 0.0625 %, 50 °C, and 5499.6783 s⁻¹ correspondingly.

{"title":"Using evolutionary algorithms and group method of data handling ANN for prediction of the viscosity MWCNT-ZnO /oil SAE 50 nano-lubricant","authors":"Zuozhi Liu , Ali B.M. Ali , Rasha Abed Hussein , Narinderjit Singh Sawaran Singh , Mohammed Al-Bahrani , Barno Abdullaeva , Salman Saeidlou , Soheil Salahshour , Sh. Esmaeili","doi":"10.1016/j.icheatmasstransfer.2025.108749","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108749","url":null,"abstract":"<div><div>This study looked at ANNs' ability to predict the rheological properties of MWCNT-ZNO / Oil SAE 50 nano lubricant. Five artificial intelligence algorithms—Group Method of Data Handling (GMDH), Extreme Gradient Boosting (XGBoost), Multivariate Adaptive Regression Splines (MARS), Support vector machine (SVM), and Multilayer Perceptron (MLP)—were employed in this work to forecast this nanofluid. The most optimum objective function (μ<sub>nf</sub>) as an output is the foundation of algorithms used in artificial intelligence. This capacity is developed so that the values predicted by ANN were more consistent with the laboratory numbers by combining GMDH with the metaheuristic approach. This combination enables the metaheuristic algorithm to optimize the evaluation indices and get the predicted data closer to the experimental data by using the GMDH activation parameters as input. For optimization, three metaheuristic algorithms are used, and the combination of GMDH and MOGWO produced the best results. Ultimately, the finest condition that could be achieved is found to have the following input data values: share rate (γ), temperature (T), and solid volume fraction (φ): 0.0625 %, 50 °C, and 5499.6783 s<sup>−1</sup> correspondingly.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108749"},"PeriodicalIF":6.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing a power transfer system for the investigation of the magnetorheological characteristics of a magnetic fluid

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-26 DOI: 10.1016/j.icheatmasstransfer.2025.108789

Xuan Wang , Ali B.M. Ali , Narinderjit Singh Sawaran Singh , Mohsin O. AL-Khafaji , Dilsora Abduvalieva , Navid Teimourimanesh , Mohammed Faris Shakir Alhashemi , Soheil Salahshour , Maboud Hekmatifar

This study explored the performance of magnetic fluids in couplings, focusing on optimizing torque and rotational transfer. It investigated how variations in mass fraction, oil film thickness, and cylinder diameter impacted the efficiency and torque transfer capabilities of the system. The research aimed to identify the optimal combination of these parameters for improved performance under magnetic field conditions. The study employed both experimental and numerical simulation methods. Cylinders with diameters of 80 mm, 105 mm, and 130 mm were tested to analyze the dynamics of fluid flow between internal and external cylinders. Numerical simulations predicted optimal system performance, and the results were validated through laboratory experiments. Key metrics included torque transfer, rotational velocity, oil film thickness, and shear stress applied to the cylinder walls. The findings show that reducing oil film thickness enhanced torque and rotational transfer. The 80 mm cylinder performed poorly at low mass fractions, while the 105 mm cylinder achieved effective performance at a 60 % mass fraction. The 130 mm cylinder demonstrated superior performance across all mass fractions due to its thinner oil film and higher shear stress. However, torque transfer plateaued at magnetic field intensities above 0.33 T, indicating limitations in system control. In conclusion, optimizing mass fraction and cylinder diameter enabled significant improvements in torque and rotational transfer. The system achieved a maximum torque of 2.75 N.m and a peak rotational speed of 820 rpm with a 130 mm cylinder at a 60 % mass fraction.

{"title":"Designing a power transfer system for the investigation of the magnetorheological characteristics of a magnetic fluid","authors":"Xuan Wang , Ali B.M. Ali , Narinderjit Singh Sawaran Singh , Mohsin O. AL-Khafaji , Dilsora Abduvalieva , Navid Teimourimanesh , Mohammed Faris Shakir Alhashemi , Soheil Salahshour , Maboud Hekmatifar","doi":"10.1016/j.icheatmasstransfer.2025.108789","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108789","url":null,"abstract":"<div><div>This study explored the performance of magnetic fluids in couplings, focusing on optimizing torque and rotational transfer. It investigated how variations in mass fraction, oil film thickness, and cylinder diameter impacted the efficiency and torque transfer capabilities of the system. The research aimed to identify the optimal combination of these parameters for improved performance under magnetic field conditions. The study employed both experimental and numerical simulation methods. Cylinders with diameters of 80 mm, 105 mm, and 130 mm were tested to analyze the dynamics of fluid flow between internal and external cylinders. Numerical simulations predicted optimal system performance, and the results were validated through laboratory experiments. Key metrics included torque transfer, rotational velocity, oil film thickness, and shear stress applied to the cylinder walls. The findings show that reducing oil film thickness enhanced torque and rotational transfer. The 80 mm cylinder performed poorly at low mass fractions, while the 105 mm cylinder achieved effective performance at a 60 % mass fraction. The 130 mm cylinder demonstrated superior performance across all mass fractions due to its thinner oil film and higher shear stress. However, torque transfer plateaued at magnetic field intensities above 0.33 T, indicating limitations in system control. In conclusion, optimizing mass fraction and cylinder diameter enabled significant improvements in torque and rotational transfer. The system achieved a maximum torque of 2.75 N.m and a peak rotational speed of 820 rpm with a 130 mm cylinder at a 60 % mass fraction.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108789"},"PeriodicalIF":6.4,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation on the melting delay of PCM top heated with a constant heat flux

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-25 DOI: 10.1016/j.icheatmasstransfer.2025.108779

Wenbin Cui , Sixiang Zhang , Jiaxun Zhang , Hongrui Fan , Xianzhe Zhang

When heated with a constant power, melting delay occurs at the initial stage of the phase change material (PCM) melting process. This phenomenon is particularly pronounced in enclosures equipped with fins, where the delay prolongs the overall melting time. In order to quantify the fin effect on the melting delay and to explore methods for reducing its duration, a numerical work was conducted to simulate the melting process of PCM under a top heated condition. By varying the quantity and the length of the fins, a dimensionless equation was proposed to elucidate the relationship between fin configuration and the duration of the melting delay. Its predictive accuracy for the melting delay was found to be within an error of 5 %. After that, innovative designs were proposed by relocating the fins from the heating surface to the base of the container. This rearrangement effectively mitigated the melting delay and was accompanied with higher heating temperature. The best performance was achieved by the fin design of non-attachment arrangement, and this design led to a reduction in the overall melting duration by 8.2 %. Moreover, the effectiveness of the non-attachment arrangement was further enhanced by increasing the number and decreasing the length of fins. The findings in this study will provide new ideas for the fin design to enhance the rate of latent heat thermal energy storage operating under a constant heat flux.

{"title":"Numerical investigation on the melting delay of PCM top heated with a constant heat flux","authors":"Wenbin Cui , Sixiang Zhang , Jiaxun Zhang , Hongrui Fan , Xianzhe Zhang","doi":"10.1016/j.icheatmasstransfer.2025.108779","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108779","url":null,"abstract":"<div><div>When heated with a constant power, melting delay occurs at the initial stage of the phase change material (PCM) melting process. This phenomenon is particularly pronounced in enclosures equipped with fins, where the delay prolongs the overall melting time. In order to quantify the fin effect on the melting delay and to explore methods for reducing its duration, a numerical work was conducted to simulate the melting process of PCM under a top heated condition. By varying the quantity and the length of the fins, a dimensionless equation was proposed to elucidate the relationship between fin configuration and the duration of the melting delay. Its predictive accuracy for the melting delay was found to be within an error of 5 %. After that, innovative designs were proposed by relocating the fins from the heating surface to the base of the container. This rearrangement effectively mitigated the melting delay and was accompanied with higher heating temperature. The best performance was achieved by the fin design of non-attachment arrangement, and this design led to a reduction in the overall melting duration by 8.2 %. Moreover, the effectiveness of the non-attachment arrangement was further enhanced by increasing the number and decreasing the length of fins. The findings in this study will provide new ideas for the fin design to enhance the rate of latent heat thermal energy storage operating under a constant heat flux.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108779"},"PeriodicalIF":6.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on material removal behavior and influence mechanism of electrochemical electric arc machining

IF 6.4 2区工程技术 Q1 MECHANICS

International Communications in Heat and Mass Transfer

Pub Date : 2025-02-25 DOI: 10.1016/j.icheatmasstransfer.2025.108786

Jianping Zhou , Shengsheng Zhang , Yinan Zhao , Zongjie Zhou , Guoyu Hu , Lizhong Wang , Yan Xu

A research method combining plasma-electrochemical corrosion multi-field coupled simulation and discharge/dissolution experiments was used to reveal the material removal mechanism of electrochemical electric arc machining (ECEAM). A jet-based plasma-electrochemical corrosion multi-field coupling model was established to describe the arc-breaking, heat-transfer, and dissolution processes under the jet electrolyte, as well as the material removal behavior of dissolution/discharge alternation. A single discharge/dissolution experiment with a constant feed rate was designed to verify the reliability of the simulation results and explain the influence mechanism and sensitivity factors of the discharge/dissolution action ratio. Continuous discharge/dissolution experiment was carried out to construct the linkage between the single discharge/dissolution of material and the material surface removal process in order to comprehensively elaborate the material removal mechanism of ECEAM.

{"title":"Research on material removal behavior and influence mechanism of electrochemical electric arc machining","authors":"Jianping Zhou , Shengsheng Zhang , Yinan Zhao , Zongjie Zhou , Guoyu Hu , Lizhong Wang , Yan Xu","doi":"10.1016/j.icheatmasstransfer.2025.108786","DOIUrl":"10.1016/j.icheatmasstransfer.2025.108786","url":null,"abstract":"<div><div>A research method combining plasma-electrochemical corrosion multi-field coupled simulation and discharge/dissolution experiments was used to reveal the material removal mechanism of electrochemical electric arc machining (ECEAM). A jet-based plasma-electrochemical corrosion multi-field coupling model was established to describe the arc-breaking, heat-transfer, and dissolution processes under the jet electrolyte, as well as the material removal behavior of dissolution/discharge alternation. A single discharge/dissolution experiment with a constant feed rate was designed to verify the reliability of the simulation results and explain the influence mechanism and sensitivity factors of the discharge/dissolution action ratio. Continuous discharge/dissolution experiment was carried out to construct the linkage between the single discharge/dissolution of material and the material surface removal process in order to comprehensively elaborate the material removal mechanism of ECEAM.</div></div>","PeriodicalId":332,"journal":{"name":"International Communications in Heat and Mass Transfer","volume":"163 ","pages":"Article 108786"},"PeriodicalIF":6.4,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0