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微通道內(nèi)納米制冷劑流動(dòng)沸騰傳熱預(yù)測模型
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國家自然科學(xué)基金項(xiàng)目(21276090)和廣西自然科學(xué)基金項(xiàng)目(2014GXNSFBA118051)


Prediction Model for Flow Boiling Heat Transfer of Nanorefrigerant in Microchannels
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    摘要:

    以R141b制冷劑為基液,Al2O3為納米顆粒,采用兩步法制備了質(zhì)量分?jǐn)?shù)分別為0.2%、0.5%和0.8%的Al2O3-R141b納米制冷劑,并進(jìn)行了納米制冷劑及R141b純制冷劑在水力直徑為1.33mm的矩形微通道內(nèi)流動(dòng)沸騰傳熱實(shí)驗(yàn)。實(shí)驗(yàn)工況范圍:飽和壓力為176kPa,入口過冷度為6~12℃,體積流量為20~50L/h,熱流密度為11.1~26.6kW/m。實(shí)驗(yàn)結(jié)果與7個(gè)純工質(zhì)傳熱模型、2個(gè)納米制冷劑傳熱模型進(jìn)行比較評價(jià)。結(jié)果發(fā)現(xiàn),在本實(shí)驗(yàn)研究范圍內(nèi),純工質(zhì)傳熱模型不適用于納米制冷劑傳熱系數(shù)的預(yù)測;Peng-Ding納米制冷劑傳熱模型與Kim-Mudawar純工質(zhì)傳熱模型組合對納米制冷劑傳熱系數(shù)的預(yù)測值最接近實(shí)驗(yàn)值,平均絕對誤差為17.22%,且能較好地反映納米顆粒對流動(dòng)沸騰傳熱影響的規(guī)律;結(jié)合實(shí)驗(yàn)數(shù)據(jù)對Peng-Ding模型的納米影響因子(納米制冷劑與純制冷劑的傳熱系數(shù)之比)關(guān)聯(lián)式進(jìn)行修正,新關(guān)聯(lián)式具有較好的預(yù)測效果,平均絕對誤差為15.2%,且與Bertsch模型的組合能較好地預(yù)測微通道內(nèi)納米制冷劑傳熱系數(shù),平均絕對誤差降為16.4%。

    Abstract:

    R141b and Al2O3 were selected as base fluid and nanoparticle, respectively, and the two-step method was used to prepare Al2O3-R141b nanorefrigerant. The mass fractions were 0.2%, 0.5% and 0.8%, respectively. The flow boiling heat transfer of Al2O3-R141b nanorefrigerant and R141b refrigerant in rectangular microchannels with hydraulic diameter of 1.33mm was experimentally investigated. Experimental conditions included saturation pressure of 176kPa,inlet subcooling from 6℃ to 12℃,volume flow rate from 20L/h to 50L/h,and heat flux from 11.1kW/m to 26.6kW/m. The experimental results were used to evaluate seven heat transfer models for pure working fluid and two heat transfer models for nanorefrigerant. Results showed that the pure working fluid heat transfer models were not suitable for nanorefrigerant. The Peng-Ding heat transfer model for nanorefrigerant combined with the Kim-Mudawar model for pure working fluid gave relatively good agreement with experimental data, the mean absolute error (MAE) was 17.22%, which reflected the effect of nanoparticles on flow boiling heat transfer. A new nanoparticle impact factor (the ratio of heat transfer coefficient of nanorefrigerant to refrigarant) correlation was proposed based on Peng-Ding model and experimental data, the new correlation had good predictability with MAE of 15.2%, and the new correlation combined with the Bertsch model provided good prediction of heat transfer coefficient for nanorefrigerant in microchannels, and the MAE was decreased to 16.4%.

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馮振飛,羅小平,周建陽,吳迪.微通道內(nèi)納米制冷劑流動(dòng)沸騰傳熱預(yù)測模型[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2016,47(8):346-355. Feng Zhenfei, Luo Xiaoping, Zhou Jianyang, Wu Di. Prediction Model for Flow Boiling Heat Transfer of Nanorefrigerant in Microchannels[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(8):346-355.

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  • 收稿日期:2016-01-18
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  • 在線發(fā)布日期: 2016-08-10
  • 出版日期: 2016-08-10