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Related Experiment Videos

Dwell function algorithm in fluid jet polishing.

Hui Fang1, Peiji Guo, Jingchi Yu

  • 1Province Key Laboratory of Modern Optical Technology of Jiangsu, Soochow University, Suzhou, China. huimeir@126.com

Applied Optics
|June 17, 2006
PubMed
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We developed a discrete convolution algorithm for fluid jet polishing (FJP) dwell function computation, improving optical manufacturing accuracy. This method successfully refined a 1D depth profile, demonstrating its effectiveness in precision figuring.

Area of Science:

  • Optical Engineering
  • Manufacturing Processes
  • Computational Algorithms

Background:

  • Fluid Jet Polishing (FJP) is a precision manufacturing technique for optical components.
  • Accurate control of the dwell function is critical for achieving desired surface profiles.
  • Traditional deconvolution methods for dwell function computation often face convergence issues.

Purpose of the Study:

  • To present an effective discrete convolution algorithm for computing the dwell function in FJP.
  • To address the limitations of traditional deconvolution methods in optical figuring.
  • To experimentally validate the proposed algorithm's performance in a practical FJP application.

Main Methods:

  • Development of a discrete convolution algorithm to calculate the dwell function, bypassing deconvolution.

Related Experiment Videos

  • Implementation of the algorithm for controlling the figuring process in FJP.
  • Experimental machining of a one-dimensional depth profile on a flat optical sample.

    • Main Results:

    • The discrete convolution algorithm effectively computed the dwell function for FJP.
    • The experimental FJP process successfully refined a 1D depth profile from 0.914λ to 0.260λ (PV).
    • The algorithm demonstrated successful implementation for solving dwell functions in optical manufacturing.

    Conclusions:

    • The discrete convolution algorithm offers an effective alternative for dwell function computation in FJP.
    • This method enhances the precision and reliability of optical figuring processes.
    • The successful experimental validation confirms the algorithm's utility in advanced optical manufacturing.