机译:Cu / TiO_2-水/ EG杂化纳米流体的热导率:使用人工神经网络和相关性的实验数据和建模
Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran;
Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Lab (FUTURE), Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangmod, Bangkok 10140, Thailand;
Faculty of Mechanical Engineering, Semnan University, P.O. Box 35131-19111, Semnan, Iran;
Department of Mechanical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran;
Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran;
Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran;
Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;
Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran;
Thermal conductivity; Artificial neural network; Experimental data; Correlation;
机译:开发人工神经网络(AONN)的最佳网络拓扑,以根据分散在乙二醇中的Al2O3 - Cu纳米粒子的经验数据预测杂化纳米流体导热率
机译:计算含水杂交石墨烯氧化物/二氧化硅水氧化物/二氧化硅的导热系数的新型相关性:合成,表征,制剂和人工神经网络建模
机译:水性Fe_3O_4纳米流体导热系数的实验研究:建立新的相关性并用人工神经网络建模
机译:Cu-Zn杂交牛油纳米流体的导热系数:使用神经网络的实验数据和建模
机译:提高热导率数据的可用性,并对不正确的热导率数据如何影响地热发电模型进行建模。
机译:氧化铝-水纳米流体的热导率和粘度的实验和人工神经网络预测
机译:铜锌杂化牛顿纳米流体的导热系数:实验数据和使用神经网络建模