Experimental Investigation on the Temperature Distribution Characteristics of the Evaporation Section in a Pulsating Heat Pipe

Wang, Xuehui; Gao, Xu; Bao, Kangli; Hua, Changzhou; Han, Xiaohong; Chen, Guangming

doi:10.1007/s11630-019-1065-0

Cited by 15 publications

(4 citation statements)

References 22 publications

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“…A train of liquid slugs and vapor plugs are formed within the channel, and through their oscillation motions, the heat is dissipated [6]. Many studies were conducted to study its heat transfer characteristics by theoretical modelling and experimental investigation over the past decades [7][8][9]. Some potential applications of PHP in electronics cooling, heat exchangers, and solar energy utilisation also have been preliminarily investigated [10].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Wang¹,

Wright²,

Liu³

et al. 2022

Energy Engineering

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The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips, as it is characterised by excellent heat transfer ability and flexibility for miniaturisation. To boost the application of PHP, reliable heat transfer performance evaluation models are especially important. In this paper, a heat transfer correlation was firstly proposed for closed PHP with various working fluids (water, ethanol, methanol, R123, acetone) based on collected experimental data. Dimensional analysis was used to group the parameters. It was shown that the average absolute deviation (AAD) and correlation coefficient (r) of the correlation were 40.67% and 0.7556, respectively. For 95% of the data, the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13 K/W and 40.76 K, respectively. Meanwhile, an artificial neural network model was also proposed. The ANN model showed a better prediction accuracy with a mean square error (MSE) and correlation coefficient (r) of 7.88e-7 and 0.9821, respectively.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Wang¹,

Wright²,

Liu³

et al. 2022

Energy Engineering

Self Cite

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“…Heat exchanger is the most common means of energy transfer in industry, 7,8 which is widely used in various fields, including thermal power plants, 9 electronic components, 10,11 aerospace, 12 and so on. Therefore, a good heat exchanger system plays an irreplaceable role in the sustainable development of energy 13 .…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the influence of bionic channel structure on waste heat utilization equipment

Ding

et al. 2021

Asia-Pacific J Chem Eng

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In this paper, in order to improve the efficiency of waste heat utilization, based on the movement type and shape of the snake, snake bionic surfaces with different structures were designed, and CuO–H2O nanofluids were used instead of traditional working fluids, and they were coupled together and applied to waste heat utilization equipment. The main work is to experimentally study the effects of nanofluids mass fraction (w = 0.1 wt%, 0.3 wt%, 0.5 wt%), amplitude of bionic channel structure (A = 1 mm, A = 2 mm, A = 3 mm), angular frequency of bionic channel structure (ω = 20 rad/s, ω = 25 rad/s, ω = 30 rad/s), phase shift of bionic channel structure (α = 0°, 90°, 180°), and Reynolds number (Re = 1,300–1800) on the flow and heat transfer characteristics of working fluid. It was found that the heat transfer capacity of nanofluids increases with nanofluids mass fraction, angular frequency, amplitude and phase shift. Finally, the comprehensive performance of the whole experimental system was studied, and it was found that the greater the angular frequency, amplitude and phase shift, the better the comprehensive performance of the heat exchanger.

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“…and operating parameters (filling ratio, inclination angle, heat flux, etc.). In the past decades, plenty of experimental investigations 7,8 and theoretical analyses 9 have been reported to reveal the influence of the abovementioned parameters and internal heat and mass transfer characteristics of the PHP, respectively. Meanwhile, some preliminary applications of the PHP in solar energy, electronics cooling and waste heat recovery are also presented.…”

Section: Introductionmentioning

confidence: 99%

Development of a novel artificial neural network model for closed pulsating heat pipe with water and aqueous solutions

Wang

Wright

Liu

et al. 2021

Asia-Pacific J Chem Eng

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Aqueous solutions are increasingly introduced as the working fluids of pulsating heat pipe (PHP), to balance and optimise certain thermo-physical properties of pure water. In this paper, a first attempt is conducted to predict the heat transfer performance of closed PHP with pure water and available aqueous solutions based on a fully connected feed-forward artificial neural network (ANN). The notable dimensionless numbers, Kutateladze number (Ku), Bond number (Bo), Morton number (Mo), Jackob number (Ja), Prandtl number (Pr), Laplace number (La), d/L e and number of turns (N) were selected as the inputs of the ANN model. It was found that the prediction of proposed ANN model posed a good agreement with experimental data with the MSE and correlation coefficient of 0.026 and 0.979, respectively. For 81.02% of the collected data, the absolute deviation of prediction for thermal resistance was within 25%. For 95% of collected data, the prediction of thermal resistance and temperature difference between the evaporation and condensation section fell within ±0.37 K/W, and ±17.1 K, respectively. The evaluation of evaporation and condensation section temperatures was also presented based on the proposed ANN model.

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Experimental Investigation on the Temperature Distribution Characteristics of the Evaporation Section in a Pulsating Heat Pipe

Cited by 15 publications

References 22 publications

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Experimental study on the influence of bionic channel structure on waste heat utilization equipment

Development of a novel artificial neural network model for closed pulsating heat pipe with water and aqueous solutions

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