| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Influence of water environment on paint removal and the selection criteria of laser parameters |
| Li-Jun Zhang(张丽君)1, Kai-Nan Zhou(周凯南)2,3, Guo-Ying Feng(冯国英)1, Jing-Hua Han(韩敬华)1,†, Na Xie(谢娜)2,3, and Jing Xiao(肖婧)4 |
1 College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;
2 Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621999, China;
3 Science and Technology on Plasma Physics Laboratory, Mianyang 621999, China;
4 Southwest Institute of Technical Physics, Chengdu 610041, China |
|
|
|
|
Abstract Laser paint removal in a water environment does not diffuse ablation pollution products into air. Characteristics of water, such as high specific heat and heat flux, generate different effects of the laser paint removal than in an air environment. In this study, the effects of air and water environments on the mechanism and effect of laser paint removal are analyzed and compared experimentally and theoretically. In air, thermodynamic ablation causes removal of paint, whereas in water, stress coupled with plasma shock waves cause tear and splash removal of paint layers after fracture and damage. Fracture and pressure thresholds of the paint and substrate, respectively, indicate the optimum energy density range for laser paint removal in water, providing a reference for engineering applications.
|
Received: 28 November 2021
Revised: 23 January 2022
Accepted manuscript online: 10 February 2022
|
|
PACS:
|
42.62.-b
|
(Laser applications)
|
| |
79.20.Ap
|
(Theory of impact phenomena; numerical simulation)
|
| |
81.65.Cf
|
(Surface cleaning, etching, patterning)
|
|
| Fund: Project supported by the Joint Fund of the National Natural Science Foundation of China and the China Academy of Engineering Physics NSAF (No. U2030108), Sichuan Science and Technology Program (No. 2021YFSY0027), and the National Natural Science Foundation of China (No. U2004162). |
Corresponding Authors:
Jing-Hua Han
E-mail: hanjinghua@scu.edu.cn
|
Cite this article:
Li-Jun Zhang(张丽君), Kai-Nan Zhou(周凯南), Guo-Ying Feng(冯国英), Jing-Hua Han(韩敬华),Na Xie(谢娜), and Jing Xiao(肖婧) Influence of water environment on paint removal and the selection criteria of laser parameters 2022 Chin. Phys. B 31 064205
|
[1] Chen G X, Kwee T J, Tan K P, Choo Y S and Hong M H 2010 Appl. Phys. A 101 249
[2] Liu Y, Liu W, Zhang D, Tian Z, Sun X and Wei Z 2020 Appl. Phys. A 126 866
[3] Sarwono A, Man Z, Idris A, Nee T H, Muhammad N, Khan A S and Ullah Z 2018 Prog. Org. Coat 122 79
[4] Daurelio G, Chita G, Cinquepalmi M and Daurelio G 1999 Appl. Phys. A 69 543
[5] Schweizer G and Werner L 1995 Proc. SPIE 2505
[6] Jasim H A, Demir A G, Previtali B and Taha Z A 2017 Opt. Laser Technol. 93 60
[7] Zhu G D, Wang S R, Cheng W, Ren Y and Wen D S 2020 Opt. Laser Technol. 132 106475
[8] Fox J A 1974 Appl. Phys. Lett. 24 461
[9] Tsunemi A, Hagiwara K, Saito N, Nagasaka K, Miyamoto Y, Suto O and Tashiro H 1996 Appl. Phys. A 63 435
[10] Madhukar Y K, Mullick S, Chakraborty S S and Nath A K 2013 Procedia Eng. 64 467
[11] Han J H, Cui X D, Wang S, Feng G Y, Deng G L and Hu R F 2017 J. Mod. Opt. 64 1947
[12] Gondal M A, Nasr M M, Ahmed M M, Yamani Z H and Alsalhi M S 2011 J. Environ. Sci. Heal. A 46 42
[13] Strzelec M and Marczak J 2001 Proc. SPIE 4402
[14] Jiao J and Wang X 2008 Opt. Laser Technol. 40 297
[15] Hale G M and Querry M R 1973 Appl. Opt. 12 555
[16] Zou W F, Xie Y M, Xiao X, Zeng X Z and Luo Y 2014 Chin. Phys. B 23 074205
[17] Grottker S, Viöl W and Gerhard C 2017 Appl. Opt. 56 3365
[18] Sane A, Satija A, Lucht R P and Gore J P 2014 Appl. Phys. B 117 7
[19] De Cruz A, Andreotti A, Ceccarini A and Colombini M P 2014 Appl. Phys. B 117 533
[20] Wu C W, Xu J W, Xiong B X, Gao F, Yu T C and Yuan X 2018 Proc. SPIE 10964
[21] Ashraf M, Shaikh N M, Kandhro G A, Murtaza G and Lashari S A 2019 J. Mol. Struct. 1203 127412
[22] Phipps C R, Turner T P, Harrison R F, York G W, Osborne W Z, Anderson G K, Corlis X F, Haynes L C, Steele H S and Spicochi K C 1988 J. Appl. Phys. 64 1083
[23] Fabbro R, Fournier J, Ballard P, Devaux D and Virmont J 1990 J. Appl. Phys. 68 775
[24] Sasmita F, Tarigan T Z S, Judawisastra H and Priambodo T A 2019 Int. J. Adv. Sci. Eng. Inf. Technol. 9 874
[25] Berthe L, Fabbro R, Peyre P, Tollier L and Bartnicki E 1997 J. Appl. Phys. 82 2826
[26] Wang Z P, Feng G Y, Han J H, Wang S T, Hu R F, Li G, Dai S Y and Zhou S H 2016 Opt. Eng. 55 105101
[27] Lee W, Yeon Y and Jung S 2003 J. Mater. Sci. 38 4183 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
