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作 者:袁群[1] 葛红花[1] 蒋以奎 薛慧[1] 周振[1]
机构地区:[1]上海电力学院上海热交换系统节能工程技术研究中心上海市电力材料防护与新材料重点实验室,上海200090
出 处:《功能材料》2015年第23期23101-23105,共5页Journal of Functional Materials
基 金:国家自然科学基金资助项目(51471104);上海市科委资助项目(10DZ2210400;14DZ2261000);上海市教委科创重点资助项目(12ZZ173)
摘 要:在模拟冷却水中添加Al_2O_3纳米颗粒制备纳米流体,用zeta电位表征纳米流体的稳定性。研究了十二烷基苯磺酸钠(SDBS)浓度、超声处理时间、溶液pH值对纳米流体稳定性的影响及最佳优化条件。单因素实验结果表明,随着SDBS浓度、超声处理时间、溶液pH值的增加,纳米颗粒zeta电位绝对值#ζ#均先增加后减小。在此基础上,运用响应曲面法中的BoxBehnken设计(BBD)模型对纳米颗粒分散条件进行优化,结果显示,SDBS浓度对zeta电位的贡献最大,其次为溶液p H值;SDBS浓度与pH值、超声时间与pH值两两之间的交互作用较明显;BBD模型给出模拟冷却水中纳米颗粒分散稳定性的优化条件为SDBS浓度0.339%(质量分数),超声时间61 min,pH值8.05,预测#ζ#为50.8 mV,实验测得优化条件下#ζ#为50.6 mV,与预测值接近。Nanofluids were prepared using Al_2O_3 nanoparticles in simulated cooling water. The stability of nanofluids was characterized by zeta potential. The effect of dodecyl benzene sulfonate( SDBS) concentration,sonication time,solution p H on the stability of nanofluids and the optimum conditions were researched in this paper. Results of single factor experiments revealed that the absolute value of zeta potential #ζ # of nanoparticles increased first but then decreased with the increase of the SDBS concentration,sonication time and p H value. Based on the preliminary experimental results,the boxbehnken design( BBD) model of response surface methodology was applied to optimize nanoparticle dispersion conditions in simulated cooling water. Results showed that the contribution of SDBS concentration to #ζ # was maximum,than the solution p H value; the interactions between SDBS concentration and p H,sonication time and p H were relatively obvious;the optimal condition to obtain stable Al_2O_3 nanofluid achieved from BBD model was SDBS at weight concentration of 0.339%,ultrasonic time 61 min,p H value 8. 05,and the predicted value of #ζ # was 50. 8 m V. The experimental value of#ζ # at the optimal condition was 50. 6 m V,which was very close to the predicted value.
关 键 词:Al2O3纳米颗粒 纳米流体 ZETA电位 响应曲面法 BBD模型
分 类 号:TK124[动力工程及工程热物理—工程热物理]
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