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首页> 外文会议>National Conference on Biomedical Engineering;International Iranian Conference on Biomedical Engineering >Numerical Simulation and Designing Artificial Neural Network for Water-Diamond Nanofluid Flow for Micro-Scale Cooling of Medical Equipment
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Numerical Simulation and Designing Artificial Neural Network for Water-Diamond Nanofluid Flow for Micro-Scale Cooling of Medical Equipment

机译：用于医疗设备微尺度冷却的水-金刚石纳米流体流动的数值模拟和设计人工神经网络

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摘要

Simultaneous using of MEMS (Micro Electro Mechanical Systems) and nanotechnology systems in the cooling of micro-scale electrical equipment has attracted researchers in recent years. In the present study, cooling of medical equipment with electronic board is discussed. For this purpose, water and water-diamond nanofluid with a volume fraction of 1%, 2%, 3% and 4% are used as a coolant of micro-scale cooling system. Coolants are pumped into heat sink at pressures of 5, 15, 25 and 35 kPa. The electronic chip on the board is embedded in the base plate of heat sink and generates uniform heat flux of 85kW/m2. The governing equations have been solved using finite volume method based on finite element. The results show that utilizing water-diamond nanofluid compared to water improves the cooling process so that utilizing water-diamond nanofluid with volume fraction of 4% improves the cooling process between 4.46% and 7.22%. Moreover, increasing pressure drop from 5 kPa to 35 kPa improves cooling indexes between 17.86% and 25.52%. Moreover, designing radial basis function artificial neural network shows good agreement between numerical simulation and predicted results.
机译：近年来，在微型电气设备的冷却中同时使用MEMS（微电子机械系统）和纳米技术系统吸引了研究人员。在本研究中，讨论了用电子板冷却医疗设备。为此，将水和体积分数分别为1％，2％，3％和4％的水金刚石纳米流体用作微型冷却系统的冷却剂。将冷却剂以5 kPa，15 kPa，25 kPa和35 kPa的压力泵入散热器。板上的电子芯片嵌入散热器的底板中，并产生85kW / m的均匀热通量 2 。该控制方程采用基于有限元的有限体积法求解。结果表明，与水相比，使用水-金刚石纳米流体改善了冷却过程，因此，使用体积分数为4％的水-金刚石纳米流体改善了4.46％至7.22％的冷却过程。此外，将压降从5 kPa增加到35 kPa可以将冷却指数提高17.86％至25.52％。此外，设计径向基函数人工神经网络在数值模拟和预测结果之间显示出良好的一致性。

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