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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 27 , No. 4

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 27, No. 4, pp. 317-328
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Aug 2018
Received 26 Jul 2018 Revised 07 Aug 2018 Accepted 10 Aug 2018
DOI: https://doi.org/10.7735/ksmte.2018.27.4.317
Temperature Prediction Model for Laser Polishing on Aluminum and a Measurement of Polishing Effect
Jong Min Kim^a ; Hyun Woo Choi^b ; Min Sung Hong^c ; Cheol Soo Lee^a^{, *}
aSogang University Mechanical Engineering, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea
bSogang University Mechanical Engineering Graduated School, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea
cAjou University Mechanical Engineering, 206 Worldcup-ro, Yeongtong-gu, Suwon 16499, Korea


Correspondence to : ^*Tel.: +82-2-705-8646 Fax: +82-2-705-7968 E-mail address: cscam@sogang.ac.kr (Cheol Soo Lee).

Abstract

Laser polishing involves the local melting of a product’s surface using a laser beam, thereby improving its surface roughness. Processing parameters such as laser power, feed rate, frequency, and tool path affect laser polishing. The surface temperature changes depending on these parameters, and determines the completeness of the polishing. For example, when a specimen is irradiated using a high-energy laser beam, its temperature increases excessively, leading to extensive melting. In contrast, a low-energy laser beam results in incomplete polishing. Therefore, it is important to be able to predict the surface temperature that can be easily changed by various parameters before conducting the actual experiment. In this study, a temperature prediction model is established to predict the time evolution of the surface temperature of an aluminum specimen irradiated using a laser beam. Furthermore, the feasibility of the prediction model is verified via comparisons with simulation results.


Keywords: Laser polishing, Surface temperature prediction model, Zig-Zag tool path, CAE, Temperature distribution simulation

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