• DocumentCode
    1127735
  • Title

    Spatial and Temporal Distributions of a Gaseous Pollutant During Simulated Preventive Maintenance and Pipe Leaking Events in a Working Cleanroom

  • Author

    Huang, Shih-Hsuan ; Shih, Hui-Ya ; Li, Shou-Nan ; Chen, Sheng-Chieh ; Tsai, Chuen-Jinn

  • Author_Institution
    Inst. of Environ. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    22
  • Issue
    3
  • fYear
    2009
  • Firstpage
    391
  • Lastpage
    398
  • Abstract
    Sulfur hexafluoride (SF6) of > 99.9% in 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. The temporal and spatial dispersion patterns of the gas pollutant were studied during the simulated preventive maintenance (PM) and pipe leaking exhaust events experimentally and numerically. Three mobile Fourier transform infrared spectrometers (FTIRs, detection limit: 10 ppb) were used simultaneously to measure the real time SF6 concentrations in different locations of the etching/thin-film area of the cleanroom. An additional open-path FTIR with very low detection limit of 0.4 ppb was installed before the recirculation duct in the lithography area to monitor if the pollutant drifted from the etching/thin-film area to the lithography area. The results show that the 3-D numerical model predicts the unsteady gas concentration accurately in both the peak concentration and the time required to reach the peak concentration. Due to high dilution of the pollutant in the cleanroom, the current gas sensors may not be sensitive enough and a better monitoring system and strategy is needed to protect workers from injury and ensure good product yield. The well-mixed model predicts 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. Although it is not able to predict the time required to reach the peak concentration and the time for the concentration to drop below a small level, the simple well-mixed model can be used to obtain an estimation of the peak concentration quickly when the emission rate and the ventilation condition of the cleanroom are different than the current study.
  • Keywords
    Fourier transform spectra; SF6 insulation; air pollution; contamination; gas sensors; infrared spectra; lithography; pipes; preventive maintenance; spatiotemporal phenomena; ventilation; 3-D numerical model; FTIR; SF6; current gas sensors; emission sources; etching; gaseous pollutant; injury protection; lithography; mobile Fourier transform infrared spectrometers; monitoring system; pipe leaking events; recirculation duct; semiconductor fabrication; simulated preventive maintenance; spatial dispersion patterns; spatial distribution; sulfur hexafluoride; temporal distribution; thin-film; ventilation condition; working cleanroom; Airborne molecular contamination; cleanroom; gas sensors; preventive maintenance;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/TSM.2009.2024874
  • Filename
    5159411