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Simulation and testing of pollutant dispersion during preventive maintenance in a cleanroom

机译:洁净室预防性维护期间污染物扩散的模拟和测试

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摘要

Sulfur hexafluoride (SF_6) of >99.9% purity was artificially released to simulate the emission sources in the etching-thin film area of a working cleanroom in a semiconductor fab at the rate of 492 g/h. Three mobile Fourier transform infrared spectrometers (FTIRs, detection limit: 10 ppb) were used simultaneously to measure the real time SF_6 concentrations at different locations of the cleanroom. A three-dimensional numerical model was also used to predict the unsteady gas concentration distribution and the results were compared with the experimental data. Due to high dilution of the pollutant in the cleanroom, it is found that the current gas sensors may not be sensitive enough and a better monitoring system and strategy is needed to protect workers from injury and to ensure good product yield. After comparison with the validated numerical results, the well-mixed model is found to predict the peak pollutant concentrations within a reasonable range which is 0.34-1.33 times the experimental values except when the monitored distance is very close to the release point. The well-mixed model is shown to be capable of predicting a reasonable attainable maximum concentration once a pollutant leaks in the cleanroom.
机译:人工释放纯度> 99.9%的六氟化硫(SF_6),以模拟492克/小时的速率在半导体晶圆厂工作洁净室的蚀刻薄膜区域中的排放源。同时使用三台移动傅立叶变换红外光谱仪(FTIR,检测极限:10 ppb)来测量洁净室不同位置的实时SF_6浓度。还使用三维数值模型来预测不稳定气体浓度分布,并将结果与​​实验数据进行比较。由于洁净室中污染物的高度稀释,因此发现当前的气体传感器可能不够灵敏,因此需要更好的监控系统和策略来保护工人免受伤害并确保良好的产品合格率。与验证的数值结果比较后,发现良好混合的模型可以预测污染物的峰值浓度在合理的范围内,该峰值范围是实验值的0.34-1.33倍,除非监控的距离非常接近释放点。一旦污染物在洁净室中泄漏,充分混合的模型就能够预测合理的最大浓度。

著录项

  • 来源
    《Building and Environment》 |2009年第12期|2319-2326|共8页
  • 作者单位

    Energy and Environment Research Laboratories, Industrial Technology Research Institute (ITRI), Hsin Chu, Taiwan;

    Institute of Environmental Engineering. National Chiao Tung University, No. 75 Poai Street, Hsin Chu 300, Taiwan;

    Energy and Environment Research Laboratories, Industrial Technology Research Institute (ITRI), Hsin Chu, Taiwan;

    Institute of Environmental Engineering. National Chiao Tung University, No. 75 Poai Street, Hsin Chu 300, Taiwan;

    Institute of Environmental Engineering. National Chiao Tung University, No. 75 Poai Street, Hsin Chu 300, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    airborne molecular contamination; gas sensors; cleanroom; preventive maintenance;

    机译:空气传播的分子污染;气体传感器整理房间;预防性的维护;

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