Albedo parameter-based characterization of surface roughness in chemically etched zirconium samples
Demet Yılmaz1, Abdul Fatah Pathman2, Sedanur Kalecik1
1Department of Physics, Faculty of Science, Atatürk University, Erzurum, 25040, Turkey.
Gamma-ray albedo parameters can non-destructively measure surface roughness on etched zirconium foils. This radiation-based technique offers a promising alternative to contact methods for material characterization.
Area of Science:
- Materials Science
- Nuclear Physics
- Surface Engineering
Background:
- Surface roughness is a critical parameter influencing material performance and behavior.
- Traditional surface characterization methods often require physical contact, limiting their application in certain environments.
- Zirconium alloys are used in various demanding applications, necessitating precise surface control.
Purpose of the Study:
- To investigate gamma-ray albedo parameters as a non-contact method for characterizing surface roughness.
- To correlate albedo parameters with established profilometric measurements of etched zirconium foils.
- To assess the sensitivity of gamma-ray scattering to surface topography variations.
Main Methods:
- Zirconium foils were chemically etched using hydrofluoric acid for varying durations.
- Surface morphology was quantified using profilometry (Ra, Rq, Rp, Rv, Rt).
- Gamma-ray albedo parameters were determined by measuring Compton and coherent scattering of 59.54 keV photons from an Am-241 source.
Main Results:
- A strong positive correlation was observed between etching time and surface roughness.
- Albedo parameters increased with increasing surface roughness.
- Photon scattering intensity proved sensitive to the surface topography of the zirconium foils.
Conclusions:
- Gamma-ray albedo parameters can effectively serve as an indirect probe for surface roughness.
- This radiation-based technique is suitable for non-contact surface characterization, especially in challenging environments.
- Potential applications include nuclear materials diagnostics, surface treatment monitoring, and biomedical implant evaluation.
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