Journal of Thermal Science and Engineering Applications最新文献_第2页

Numerical Investigation of Nanofluid as a Coolant in a Prismatic Battery for Thermal Management Systems 将纳米流体作为棱柱电池冷却剂用于热管理系统的数值研究

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-12-07 DOI: 10.1115/1.4064232

V. B, Sung Chul Kim, Sang Woo Joo, Santosh Chavan

{"title":"Numerical Investigation of Nanofluid as a Coolant in a Prismatic Battery for Thermal Management Systems","authors":"V. B, Sung Chul Kim, Sang Woo Joo, Santosh Chavan","doi":"10.1115/1.4064232","DOIUrl":"https://doi.org/10.1115/1.4064232","url":null,"abstract":"\u0000 This study delves into the realm of numerical investigation of the heat transfer performance of nanofluids as coolants for prismatic batteries. Nanofluids are being employed in battery cooling systems to enhance overall thermal management and ensure the safe operation of batteries, particularly in situations involving high heat generation. In this study, different types of nanofluids were used along with a base fluid of ethylene glycol-water (EG-water 50%). The energy equations consider the effects of viscous dissipation and heat generation. The model generates a set of nonlinear partial differential equations (PDEs), which can be transformed into ordinary differential equations (ODEs) using appropriate similarity variables. These ODEs are then solved numerically by employing the Range-Kutta-Fehlberg method along with the shooting method to obtain solutions. The simulations in both 2D and 3D showcase the results for various parameters pertaining to thermal and velocity fields, heat transfer rate, and drag force. The findings reveal that heat generation leads to a staggering increase in temperature of 78.22%. However, using aluminum nanoparticles as opposed to copper nanoparticles quickly reduced the battery's maximum temperature by 9.31%. The exceptional heat generation strengths of CuO-EG and Al2O3-EG nanofluids also resulted in a significant increase in their heat transfer rates of around 40.42% and 42.13%, respectively. Additionally, the aluminum NPs exhibited a more rapid heat transfer rate of 4.06% when compared to the copper nanoparticles.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"30 18","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138591035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

EFFECT OF RIBS/FINS AND ASPECT RATIO ON FLOW BOILING CHARACTERISTICS IN CONVENTIONAL CHANNELS 肋片/鳍片和长宽比对常规水道中水流沸腾特性的影响

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-12-01 DOI: 10.1115/1.4064168

Madan K, Sathyabhama A

引用次数: 0

Prediction of heat transfer for compact tube heat exchanger based on porous models 基于多孔模型的紧凑管式热交换器传热预测

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-30 DOI: 10.1115/1.4064169

Xuheng Chen, Na Li, Xin Zhou, Zhenyu Duan

{"title":"Prediction of heat transfer for compact tube heat exchanger based on porous models","authors":"Xuheng Chen, Na Li, Xin Zhou, Zhenyu Duan","doi":"10.1115/1.4064169","DOIUrl":"https://doi.org/10.1115/1.4064169","url":null,"abstract":"A prediction method for temperature distributions in compact heat exchanger was developed by modeling the microchannel as a fluid-saturated porous medium. The study focused on the mathematical formulas and solution methods for convective heat transfer of heat core. Firstly, the correlation mechanisms and laws between the key parameters' effects and heat transfer were revealed and explained. The results show that the temperature/pressure/velocity contours obtained from the porous-media model are consistent with those of the tube-matrix. The longitudinal pitch has little effect on the flow characteristics and the Reynolds number. Transverse pitch has significant effects on the flow characteristics and the Reynolds number. Under different pitch conditions, the Nusselt number obtained by Zukauskas-correlation is larger than that of porous-media model, which is larger than that of tube-matrix. Secondly, the simplified model and fast calculation method were developed. Tube bundles of the heat exchanger core were modelled as micro-channels and theoretically as fluid-saturated porous structures. Results show that the heat transfer performance predicted by the micro-channels, tube-matrix, and porous-media model is consistent under the same boundary conditions. These results are consistent with the experiment. In addition, the computing cost and time required for the porous-media and micro-channels model is relatively reduced. Especially for the micro-channels model, the calculating time is less than one tenth of the original. Compared with the time-consuming numerical method, the new analytical solution has the advantages of cost and speed.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"6 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139205734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Artificial neural networks application on average and stagnation Nusselt number prediction for impingement cooling of flat plate with helically coiled air jet 人工神经网络在用螺旋卷绕气流冲击冷却平板的平均和停滞努塞尔特数预测中的应用

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-23 DOI: 10.1115/1.4064139

Hany Fawaz, Mostafa Osama, Hussein Maghrabie

{"title":"Artificial neural networks application on average and stagnation Nusselt number prediction for impingement cooling of flat plate with helically coiled air jet","authors":"Hany Fawaz, Mostafa Osama, Hussein Maghrabie","doi":"10.1115/1.4064139","DOIUrl":"https://doi.org/10.1115/1.4064139","url":null,"abstract":"In order to estimate the average and stagnation Nusselt numbers for turbulent flow for impingement cooling of a flat plate with a helically coiled air jet, a new artificial neural network (ANN) model is presented in the present study. A new dataset of stagnation and average Nusselt numbers as a function of Reynolds number (Re) varied from 5000 to 30000, nozzle plate spacing ratio changed from 2 to 8, and jet helical angle varied from 0 to 60 degrees was created based on an experimental investigation. The ANN structure composed of three layers with hidden neurons of 14-10-8. The training process comprises feed-forward propagation of the selected input parameters, back-propagation with biases and weight adjustments, and loss function evaluation for the training and validation datasets. The activation function of the output layer is a linear function, and the rectified linear unit activation function is utilized in the hidden layers. The adaptive moment estimation algorithm(ADAM) is employed to minimize the loss function to accelerate the ANN training. For the ANN model, the mean absolute percent error values were 2.35% for the average Nusselt number and 2.52% for the stagnation Nusselt number. As a result, greater accuracy was obtained as compared to generalized correlations. According to the comparison of projected data with the outcomes of earlier experiments, the derived model's performance was validated and the findings showed outstanding accuracy.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"27 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139245332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Pool boiling of CNT+GO nano materials coated copper substrate: An Experimental study 涂覆铜基底的 CNT+GO 纳米材料的池沸腾：实验研究

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-23 DOI: 10.1115/1.4064134

Ranjan Kumar, Dipak Sen, Sandip Kumar Mandal

引用次数: 0

Experimental Investigation of Energy-Saving Potential of Ground Source Heat Pump during Peak Hour Operations 地源热泵在高峰时段运行的节能潜力实验研究

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-23 DOI: 10.1115/1.4064138

Shammy Kumar, Krishnan Murugesan, Elangovan Rajasekar

{"title":"Experimental Investigation of Energy-Saving Potential of Ground Source Heat Pump during Peak Hour Operations","authors":"Shammy Kumar, Krishnan Murugesan, Elangovan Rajasekar","doi":"10.1115/1.4064138","DOIUrl":"https://doi.org/10.1115/1.4064138","url":null,"abstract":"Ground source heat pump (GSHP) systems have emerged as energy-efficient alternate systems for conventional the Air-Source Air-Conditioning (ASAC) systems for space heating and cooling applications. GSHPs have gained widespread popularity globally and are extensively utilized in residential and commercial buildings. However, in countries like India where both space cooling and heating are required, it becomes essential to evaluate the performance of GSHP system, especially during peak hour operation to estimate peak load energy demand. This research paper tries to identify the energy efficiency of GSHP system during peak-hour operations in comparison to ASAC system using experimental techniques. Experimental trials were conducted in a laboratory equipped with a single unit of 17.58 kW cooling/heating capacity GSHP system and a 17.57 kW cooling/heating ASAC system (two units of 7.023 kW and 10.548 kW). Experimental trials were conducted in peak summer in the month of June for cooling mode operation and January for heating mode operation for Roorkee weather conditions in northern part of India. The performance of both the systems was compared by defining instantaneous COP and cyclic COP. The instantaneous COP was found to be higher for both the systems during peak hour cooling and heating mode operations. Energy-saving analysis indicates that the ground source heat pump system saves 36.85% and 38.65% of electrical energy in cooling and heating modes, respectively, compared to the ASAC system.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"33 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

MACHINE LEARNING AIDED NUMERICAL AND EXPERIMENTAL INVESTIGATION OF HYDRODYNAMIC PERFORMANCE IN THE CIRCULATING FLUIDIZED BED BOILER 循环流化床锅炉流体力学性能的机器学习辅助数值和实验研究

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-17 DOI: 10.1115/1.4064077

Mercy Vasan A, Sridharan M, Gopalakrishnan V, Shiva Ranjani R S

{"title":"MACHINE LEARNING AIDED NUMERICAL AND EXPERIMENTAL INVESTIGATION OF HYDRODYNAMIC PERFORMANCE IN THE CIRCULATING FLUIDIZED BED BOILER","authors":"Mercy Vasan A, Sridharan M, Gopalakrishnan V, Shiva Ranjani R S","doi":"10.1115/1.4064077","DOIUrl":"https://doi.org/10.1115/1.4064077","url":null,"abstract":"This research aims to demonstrate the advantages of combining machine learning algorithms with the realm of thermo-fluidic applications. The primary objective of this investigation is to pinpoint the essential hydrodynamic input parameters that can maximize the advantages of fluidization and lead to an improved design for a CFB furnace, utilizing the Apriori algorithm. Also, this algorithm is capable of identifying the right combinations of parameters that can produce maximum fluidization performance. The end results suggested by this AA are validated using computational fluid dynamics package. For this, the transient behavior of a scaled down (1:20) reactor model of a real time industrial CFB boiler is simulated using ANSYS FLUENT 18.0. In specific, the effects of fluidizing velocities, inventory heights of the bed, and particle sizes recommended by the AA are investigated. Here, the effects are assessed in terms of volume fraction distribution and axial velocity profile distribution profiles. From the results of simulations, it was clearly found that 2 m/s inlet velocity produced good circulating fluidized bed patterns on a bed inventory height of 0.5 m for a mean particle size of 200 microns. The results obtained from the simulations are once again validated visually against snapshots obtained during real-time laboratory fluidization experimental runs. Also, it is found that the manual time taken to identify the right combinations of parameters is drastically reduced by this method as against conventional optimization algorithm and trial -error methods.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"19 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 neural networks for thermal analysis of heat conduction 利用神经网络进行热传导分析

IF 2.1 4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-11-17 DOI: 10.1115/1.4064076

Daud Abdoh

{"title":"Using neural networks for thermal analysis of heat conduction","authors":"Daud Abdoh","doi":"10.1115/1.4064076","DOIUrl":"https://doi.org/10.1115/1.4064076","url":null,"abstract":"Predicting heat transfer mechanisms through solids and fluids is a continuously demanding research topic since accurate and fast temperature calculation is crucial in many engineering and industrial applications. The paper presents a new model to calculate the temperature variation of solids and fluids instantly, in less than 0.04 s, for the whole simulation period based on a novel computational framework of deep learning. The partial differential equation, such as the heat transfer equation, can be solved directly at any point according to a well-known boundary condition point without the need for domain discretization. Therefore, instant and accurate temperature calculation is achieved with the minimum computational resources. The proposed deep learning model can be applied in many engineering applications and products by using it in online thermal monitoring or digital twin technology. The new model is well validated by comparing the temperature values obtained from the deep learning model with the experimental temperature measurements. Moreover, a computational cost comparison with other numerical models is conducted to prove the high efficiency of the proposed deep learning model, where MATLAB is utilized to develop the required codes.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"38 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Experimental Investigation of Local Heat Transfer Coefficient in a Plate Heat Exchanger Using a Thin Heat Transfer Surface 薄换热面板式换热器局部换热系数的实验研究

4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-10-27 DOI: 10.1115/1.4063916

Tomoki Hirokawa, Ayarou Yamasaki, Osamu Kawanami

引用次数: 0

Experimental study for the enhancement of thermal efficiency and development of Nusselt number correlation for the roughened collector of solar air heater 太阳能空气加热器粗化集热器提高热效率的实验研究及努塞尔数相关关系的发展

4区工程技术

Journal of Thermal Science and Engineering Applications Pub Date : 2023-10-27 DOI: 10.1115/1.4063915

Dheeraj Kumar, Apurba Layek, Amit Kumar, Rakesh Kumar

{"title":"Experimental study for the enhancement of thermal efficiency and development of Nusselt number correlation for the roughened collector of solar air heater","authors":"Dheeraj Kumar, Apurba Layek, Amit Kumar, Rakesh Kumar","doi":"10.1115/1.4063915","DOIUrl":"https://doi.org/10.1115/1.4063915","url":null,"abstract":"Abstract The solar air heater's thermal efficiency is relatively poor owing to the flat collector surface. This article's primary objective is to increase the collectors' thermal efficiency of rectangular ducts of solar air heater by adopting a novel V-shaped twisted rib element with staggering orientation. Experimentations are performed for various flow Reynolds numbers ranging from 3k-21k, roughness pitch-to-rib height ratio ranging from 7-11, and staggering distance to rib height ratio between 2-6. Dispersion of Nusselt number over the collector surface is achieved through liquid crystal thermography technique. Among the varied rib and flow constraints, it is observed that a maximum thermal performance enhancement index of 2.69 is observed, with the optimum value of the roughness parameter at a rib pitch-to-height ratio of 9 and a staggering distance-to-height ratio of 4. Mathematical correlation has also been developed using a regression model to estimate the Nusselt number in terms of non-dimensional roughness parameters. The percentage deviation between the Nusselt number attained from established relationships and the investigational results are found to be giving very satisfactory outcomes. The thermal efficiency of the smooth surface is recognized at 42.64% which increases for the roughened surface of twisted V-ribs to 73.63%. Hence employing twisted V-ribs as an artificial roughness element no doubt increases the Nusselt number, thermohydraulic performance enhancement index, and thermal efficiency, but it also exerts less frictional power of solar air heater.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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