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This study models green anode paste compaction using a nonlinear viscoplastic model. The model accurately predicts material behavior in complex geometries, crucial for manufacturing processes.

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X-ray tomographycompaction testfinite element methodgreen anode pastenonlinear viscoplastic constitutive law

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Chemical Engineering

Background:

  • Green anode paste is critical in aluminum smelting.
  • Understanding its compaction behavior is essential for process efficiency and product quality.
  • Existing models may not fully capture the complex, nonlinear mechanical responses.

Purpose of the Study:

  • To develop and validate a constitutive model for green anode paste compaction.
  • To characterize the nonlinear mechanical and radial behavior of the paste.
  • To assess the model's predictive capability in complex industrial scenarios.

Main Methods:

  • Utilized a nonlinear viscoplastic constitutive law for compressible materials under finite strain theory.
  • Conducted experimental compaction tests at 150°C using an instrumented mold.
  • Implemented the constitutive law in Abaqus via VUMAT for explicit dynamic analysis.
  • Employed inverse analysis for material parameter identification.

Main Results:

  • Experimental data revealed the nonlinear mechanical and significant radial behavior of the anode paste.
  • The implemented model accurately predicted results from simple compaction tests.
  • Simulations using complex geometries successfully predicted measured density profiles via X-ray tomography.

Conclusions:

  • The developed nonlinear viscoplastic model effectively captures green anode paste compaction behavior.
  • The model demonstrates strong predictive potential for industrial applications with density gradients.
  • Accurate modeling is vital for optimizing anode paste manufacturing and performance.