Roughness prediction on laser polished surfaces

► A method for the estimation of the topography of a laser polished process is presented. ► The model starts with the initial surface and the resultant topography is estimated. ► The model is based on the simulation of the thermal field generated by a laser beam. ► A critical filter frequency is def...

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Bibliographic Details
Published in:Journal of materials processing technology 2012-06, Vol.212 (6), p.1305-1313
Main Authors: Ukar, E., Lamikiz, A., Martínez, S., Tabernero, I., Lacalle, L.N. López de
Format: Article
Language:English
Subjects:
Conduction heating
Differential equations
DIN 1.2379 tool steel
Direct diode laser
Filtering
Laser polishing
Lasers
Methodology
Polished
Roughness
Roughness prediction
Topography
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Summary:► A method for the estimation of the topography of a laser polished process is presented. ► The model starts with the initial surface and the resultant topography is estimated. ► The model is based on the simulation of the thermal field generated by a laser beam. ► A critical filter frequency is defined and the initial profile frequencies are filtered. ► A thermal model is developed considering the solid-phase transformations. ► The model has been validated for laser polishing of DIN 1.2379 tool steel. ► The proposed method obtains coherent topographies agree with experimental data. The paper presents a methodology to predict the surface topography on laser polished surfaces. The method is based on the thermal field prediction generated by the laser. The thermal field is obtained through the differential equation of heat transfer by conduction. The prediction of the resulting topography is based on the filtering of the spatial frequency spectrum of the initial topography which is obtained by FFT analysis. Once the temperature field is obtained, a critical frequency is calculated and a low-pass filter is applied to cut the frequencies higher than the critical one. The resulting surface is reconstructed using the remaining frequencies. The methodology has been tested on a DIN 1.2379 tool steel and the experimental validation shows a relatively good agreement between the predicted and measured values of mean roughness (Ra) and mean roughness depth (Rz), with errors lower than 15% in all the cases.
ISSN:0924-0136
DOI:10.1016/j.jmatprotec.2012.01.007