<p>Dry Electrolytic Chemical Polishing (DECP) is an advanced surface finishing technique that utilizes porous solid particles impregnated with electrolyte to selectively remove material peaks, achieving significant surface smoothing with minimal material removal and notable environmental benefits. However, traditional ion exchange resins used as electrolyte particles exhibit poor mechanical strength, deformation, and thermal degradation, leading to electrolyte leakage and surface damage. To overcome these limitations, this study proposes porous ceramic-based composite solid electrolyte particles as an alternative, which offer superior mechanical strength, thermal stability, and chemical durability. The focus of this study is to develop a conductive model for porous ceramic-based composite solid electrolyte particles used in DECP. Based on Archie's law and fractal theory, an equivalent resistance model is established to describe the electrical behavior of individual solid dielectric units. The model elucidates the mathematical relationship between equivalent resistance and key parameters such as pore structure, porosity, and particle size. Extensive experimental data validate the accuracy and reliability of the model: The actual equivalent resistance values of the samples exhibit linear and nonlinear variation patterns that are highly consistent with the model. For regular porous homogeneous ceramic samples, the model error is generally maintained within 20%. This work introduces porous ceramic-based composite solid electrolyte particles as a solution to the limitations of traditional ion exchange resins in DECP applications and provides a quantitative theoretical framework for evaluating their electrical conductivity. The proposed model offers significant advantages in matching electrolyte particles with specific electrical parameters, thereby enhancing the efficiency and reliability of DECP processes.</p> Graphical Abstract <p></p>

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Study on Conductive Model of Porous Ceramic-Based Composite Solid Electrolyte Particles for Dry Electrolytic Chemical Polishing (DECP)

  • Bibing Xiao,
  • Jun Yi,
  • Kanglin Pei,
  • Hui Deng

摘要

Dry Electrolytic Chemical Polishing (DECP) is an advanced surface finishing technique that utilizes porous solid particles impregnated with electrolyte to selectively remove material peaks, achieving significant surface smoothing with minimal material removal and notable environmental benefits. However, traditional ion exchange resins used as electrolyte particles exhibit poor mechanical strength, deformation, and thermal degradation, leading to electrolyte leakage and surface damage. To overcome these limitations, this study proposes porous ceramic-based composite solid electrolyte particles as an alternative, which offer superior mechanical strength, thermal stability, and chemical durability. The focus of this study is to develop a conductive model for porous ceramic-based composite solid electrolyte particles used in DECP. Based on Archie's law and fractal theory, an equivalent resistance model is established to describe the electrical behavior of individual solid dielectric units. The model elucidates the mathematical relationship between equivalent resistance and key parameters such as pore structure, porosity, and particle size. Extensive experimental data validate the accuracy and reliability of the model: The actual equivalent resistance values of the samples exhibit linear and nonlinear variation patterns that are highly consistent with the model. For regular porous homogeneous ceramic samples, the model error is generally maintained within 20%. This work introduces porous ceramic-based composite solid electrolyte particles as a solution to the limitations of traditional ion exchange resins in DECP applications and provides a quantitative theoretical framework for evaluating their electrical conductivity. The proposed model offers significant advantages in matching electrolyte particles with specific electrical parameters, thereby enhancing the efficiency and reliability of DECP processes.

Graphical Abstract