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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/79043

    Title: Integration of Grey Model and Computational Fluid Dynamics to Estimate the Chip Temperature
    Authors: Chang, Shih-Hsing;Chen, Shang-Yan;Yang, Jr-Syu;Wang, Cheng-Huei
    Contributors: 淡江大學機械與機電工程學系
    Keywords: Grey model;Grey prediction;Experimental design;Computational Fluid Dynamics(CFD);Temperature
    Date: 2011
    Issue Date: 2012-11-22 16:30:06 (UTC+8)
    Publisher: Burnham: Research Information Ltd.
    Abstract: Computer chip is always accompanied by the increase of heat dissipation and miniaturization, a system to predict the temperature of the semiconductor chip is presented by integrating the grey model and the computation fluid dynamics techniques. In the present methodology, one hundred sets of training data obtained from the CFD simulations results were sent to the grey model for the training. There are other eight generated input sets to be the test data and compared the results between CFD simulation and grey, it shows that the grey model is able to accurately estimate the corresponding temperature distribution as well as the maximum temperature values under different power distribution after well trained. Finally results show that the grey model only needs a few experimentation data and more accurate than CFD model.
    Relation: The Journal of Grey System 23(4), pp.335-344
    Appears in Collections:[機械與機電工程學系暨研究所] 期刊論文

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