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This study models sandblasting pressure

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Area of Science:

  • Surface Engineering
  • Materials Science
  • Manufacturing Processes

Background:

  • Surface texture significantly impacts material performance.
  • Sandblasting is a common surface treatment method.
  • Predictive modeling of sandblasting effects is crucial for process optimization.

Purpose of the Study:

  • To model the influence of sandblasting working pressure on surface texture.
  • To identify optimal parameters for improved correlation modeling.
  • To establish a relationship between process conditions and surface texture outcomes.

Main Methods:

  • Utilized a multi-scale approach and statistical analysis.
  • Investigated various parameters: 3D roughness, cut-off lengths, filter types, and model types.
  • Employed experimental and theoretical justification.

Main Results:

  • A power law relationship was identified between working pressure and Sdq (a 3D roughness parameter).
  • Optimal parameter sets were identified for enhanced correlation.
  • The relationship was specifically observed using a 120 µm cut-off length and a low-pass filter.

Conclusions:

  • Sandblasting working pressure is a key factor in determining surface texture.
  • The identified power law provides a predictive model for surface texture.
  • Optimized parameter selection improves the accuracy of process-texture correlation.