Analytical Models for Grain Size Determination of Metallic Coatings and Machined Surface Layers Using the Four-Point...

Area of Science:

• Materials Science
• Surface Engineering
• Corrosion Science

Background:

• Metallic coating and surface layer grain size significantly influences material properties like corrosion resistance, wear, and fatigue.
• Accurate characterization of grain size is vital for predicting and ensuring material performance in various applications.

Purpose of the Study:

• To develop a rapid, non-destructive method for determining the grain size of metallic coatings and machined surfaces.
• To establish analytical models correlating electrical resistance measurements with grain size for different grain shapes.

Main Methods:

• Utilizing the four-point probe method to measure the combined electrical resistance of the surface layer and substrate.
• Deriving analytical models based on the measured electrical resistance and considering various grain shapes.
• Employing calibration measurements to determine model parameters accurately.

Main Results:

• A non-destructive technique for determining grain size was successfully developed.
• Analytical models were established to relate electrical resistance to grain size for different grain morphologies.
• The method allows for quick and efficient grain size assessment.

Conclusions:

• The four-point probe method offers a fast and non-destructive approach to assess grain size in metallic coatings and machined surfaces.
• This technique is suitable for industrial quality control, ensuring consistent surface layer properties.
• Accurate grain size determination enhances the prediction of corrosion, wear, and fatigue behavior.