机译:最新的图形方法作为结垢夹点,用于增加换热网络(HEN)现有技术中的结垢形成时间
Department of Mechanical Engineering, K.N. Toosi University of Technology, No. 19, Pardis Street, Molla Sadra Ave.. Vanak Sq., P.O. Box 19395-1999, Tehran, Iran;
Department of Mechanical Engineering, K.N. Toosi University of Technology, No. 19, Pardis Street, Molla Sadra Ave.. Vanak Sq., P.O. Box 19395-1999, Tehran, Iran;
Department of Mechanical Engineering, K.N. Toosi University of Technology, No. 19, Pardis Street, Molla Sadra Ave.. Vanak Sq., P.O. Box 19395-1999, Tehran, Iran,Energy Systems Division, Mechanical Engineering Department, K.N. Toosi University of Technology, Tehran, Iran;
fouling formation; pinch technology; streams replacing; time recovery;
机译:应用人工神经网络,以系统估算热交换器污垢程度
机译:一种多分辨率小波神经网络方法,用于污垢电阻预测板式换热器
机译:人工神经网络磷酸浓缩厂横流热交换器污染的参数研究与建模
机译:微通道换热器中的微粒污垢和缓解方法
机译:电子防污技术在换热器结垢控制中的研究
机译:由结垢细菌与结垢增强细菌共培养引起的AHL介导的可溶性微生物产物(SMP)形成引起的膜结垢
机译:人工神经网络(Ann-MLP)在MgO水和Cuo水纳米流体中预测热交换器污垢抗性的应用
机译:低温换热器污垢问题的评价。烟灰生产和冷凝系统污垢研究结果