• DocumentCode
    2398511
  • Title

    A sequential experimentation strategy and response surface methodologies for process optimization

  • Author

    Flores, Gary E. ; Norbury, David H.

  • Author_Institution
    KTI Chem. Inc., Sunnyvale, CA, USA
  • fYear
    1991
  • fDate
    21-23 Oct 1991
  • Firstpage
    165
  • Lastpage
    174
  • Abstract
    The effective implementation of a three-level sequential experimentation strategy has been illustrated for systematically and efficiently optimizing a novel dual-tone lithographic process. Starting from an initial group of seven factors, the design strategy converged on reversal bake temperature, softbake temperature, and develop strength as significantly dominant factors. Through the use of a transformation of variable technique on the final RSM (response surface model) design, three potential process alternatives were located, based on model predictions that simultaneously minimize photoresist loss, optimize resolution, and maximize process latitude. The model validity of the three process alternatives was experimentally verified
  • Keywords
    photolithography; design strategy; develop strength; dominant factors; dual-tone lithographic process; implementation; model predictions; photoresist loss minimization; process alternatives; process latitude maximisation; process optimization; resolution optimization; response surface methodologies; response surface model; reversal bake temperature; sequential experimentation strategy; softbake temperature; Automotive engineering; Design for experiments; Design optimization; Lithography; Manufacturing processes; Noise robustness; Optimization methods; Resists; Response surface methodology; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference and Workshop, 1991. ASMC 91 Proceedings. IEEE/SEMI 1991
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7803-0152-8
  • Type

    conf

  • DOI
    10.1109/ASMC.1991.167404
  • Filename
    167404