ANN与MARS模型:在板翅式换热器中增强二氧化钛/水二元纳米流体和二氧化钛/水单纳米流体的实验性能

IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Emre Askin Elibol , Yunus Emre Gonulacar , Fatih Aktas , Burak Tigli
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引用次数: 0

摘要

本研究通过实验测试了摩托车上使用的PFHE(板翅式换热器)的冷却性能/传热率、效率和UA产品,除了纯水外,还使用了二氧化钛-TiO2/水二元纳米流体和二氧化钛/水单纳米流体,在不同浓度(0%、0.00645%、0.0125%、0.025%和0.05%)、进口温度(70°C和80°C)和流量(6.5 LPM、9.5 LPM和12.5 LPM)下。当MgO-TiO2/水二元纳米流体浓度为0.025%,入口温度为80℃,流速为6.5 LPM时,最大换热率、效率和UA值分别为673.868 W、0.856 W和27.768 W。相同条件下纯水(0%)的换热率为591.152 W,效率为0.809 W, UA积为23.534 W。利用获取的数据,分别采用人工神经网络和火星神经网络进行预测效果,并对两种方法进行比较。ANN (Tin = 80°C, MgO-TiO2/water)的最佳结果,MARS结果的MSE为1.17 × 10−5,RMSE为0.0034,SSE为0.0002,MAPE为0.3411,R2为0.9921。与之相比,人工神经网络结果的MSE为2.52 × 10−6,RMSE为0.0016,SSE为3.78 × 10−5,MAPE为0.0876,R2为0.9983。对于MARS (Tin = 80°C, TiO2/water), ANN结果的MSE为6.03 × 10−5,RMSE为0.0025,SSE为9.05 × 10−5,MAPE为0.1359,R2为0.9961。MARS结果的MSE为3.97 × 10−6,RMSE为0.0020,SSE为5.96 × 10−5,MAPE为0.2003,R2为0.9974。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANN vs. MARS modeling: Experimental performance enhancement of MgO-TiO2/water binary and TiO2/water mono nanofluids in a plate-fin heat exchanger
This study has experimentally examined the cooling performance/heat transfer rate, effectiveness, and UA product of a PFHE (plate-fin heat exchanger) used on a motorcycle, employing MgO-TiO2/water binary and TiO2/water mono nanofluids, in addition to pure water, at various concentrations (0 %, 0.00645 %, 0.0125 %, 0.025 % and 0.05 %), inlet temperatures (70 °C and 80 °C), and flow rates (6.5 LPM, 9.5 LPM and 12.5 LPM). The maximum heat transfer rate, effectiveness, and UA product values observed were 673.868 W, 0.856, and 27.768, respectively, with a 0.025 % concentration of MgO-TiO2/water binary nanofluid at an inlet temperature of 80 °C and a flow rate of 6.5 LPM. The heat transfer rate, effectiveness, and UA product values for pure water (0 %) under the same conditions were 591.152 W, 0.809, and 23.534, respectively. By applying the acquired data, both ANN and MARS were employed to predict effectiveness, and a comparison was established between the two methods. According to the best result for ANN (Tin = 80 °C and MgO-TiO2/water), the MARS result indicates an MSE of 1.17 × 10−5, RMSE of 0.0034, SSE of 0.0002, MAPE of 0.3411, and an R2 of 0.9921. By comparison, the ANN results indicate an MSE of 2.52 × 10−6, RMSE of 0.0016, SSE of 3.78 × 10−5, MAPE of 0.0876, and an R2 of 0.9983. According to the best result for MARS (Tin = 80 °C and TiO2/water), the ANN result shows an MSE of 6.03 × 10−5, RMSE of 0.0025, SSE of 9.05 × 10−5, MAPE of 0.1359, and an R2 of 0.9961. On the other hand, the MARS results exhibit a MSE of 3.97 × 10−6, RMSE of 0.0020, SSE of 5.96 × 10−5, MAPE of 0.2003, and an R2 of 0.9974.
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来源期刊
International Journal of Heat and Fluid Flow
International Journal of Heat and Fluid Flow 工程技术-工程:机械
CiteScore
5.00
自引率
7.70%
发文量
131
审稿时长
33 days
期刊介绍: The International Journal of Heat and Fluid Flow welcomes high-quality original contributions on experimental, computational, and physical aspects of convective heat transfer and fluid dynamics relevant to engineering or the environment, including multiphase and microscale flows. Papers reporting the application of these disciplines to design and development, with emphasis on new technological fields, are also welcomed. Some of these new fields include microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.
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