INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Numerical research on effect of overlap ratio on thermal-stress behaviors of the high-speed laser cladding coating |
Xiaoxi Qiao(乔小溪)†, Tongling Xia(夏同领)†, and Ping Chen(陈平)‡ |
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China |
|
|
Abstract High-speed laser cladding technology, a kind of surface technology to improve the wear-resistance and corrosion-resistance of mechanical parts, has the characterizations of fast scan speed, high powder utilization rate, and high cladding efficiency. However, its thermal-stress evolution process is very complex, which has a great influence on the residual stress and deformation. In the paper, the numerical models for the high-speed laser cladding coatings with overlap ratios of 10%, 30%, and 50% are developed to investigate the influence rules of overlap ratio on the thermal-stress evolution, as well as the residual stresses and deformations. Results show that the heat accumulation can reheat and preheat the adjacent track coating and substrate, resulting in stress release of the previous track coating and decreased longitudinal stress peak of the next track coating. With the overlap ratio increasing, the heat accumulation and the corresponding maximum residual stress position tend to locate in the center of the cladding coating, where the coating has a high crack susceptibility. For a small overlap ratio of 10%, there are abrupt stress changes from tensile stress to compressive stress at the lap joint, due to insufficient input energy in the position. Increasing the overlap ratio can alleviate the abrupt stress change and reduce the residual deformation but increase the average residual stress and enlarge the hardening depth. This study reveals the mechanism of thermal-stress evolution, and provides a theoretical basis for improving the coating quality.
|
Received: 25 September 2020
Revised: 03 November 2020
Accepted manuscript online: 02 December 2020
|
PACS:
|
81.16.Mk
|
(Laser-assisted deposition)
|
|
75.40.Mg
|
(Numerical simulation studies)
|
|
Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2018YFC0810500), the National Natural Science Foundation of China (Grant No. 51975042), and the Fundamental Research Funds for the Central Universities, China (Grant No. FRF-TP-19-004A3). |
Corresponding Authors:
†These authors contributed equally to this work. \raisebox\ht\strutbox \hypertargetcauthor ‡Corresponding author. E-mail: chenp@ustb.edu.cn
|
Cite this article:
Xiaoxi Qiao(乔小溪), Tongling Xia(夏同领), and Ping Chen(陈平) Numerical research on effect of overlap ratio on thermal-stress behaviors of the high-speed laser cladding coating 2021 Chin. Phys. B 30 018104
|
1 Raghuram H, Katsich C, Pichelbauer K, Koschatzky K, Gachot C and Cihak-Bayr U 2019 Surf. Coatings Technol. 377 124897 2 Tamanna N, Crouch R and Naher S 2019 Opt. Lasers Eng. 122 151 3 Yan Z, Liu W, Tang Z, Liu X, Zhang N, Li M and Zhang H 2018 Opt. Laser Technol. 106 427 4 Beretta S and Romano S 2017 Int. J. Fatigue 94 178 5 Chew Y and Pang J H L 2016 Int. J. Fatigue 87 235 6 Shao S, Khonsari M M, Guo S, Meng W J and Li N 2019 Addit. Manuf. 29 100779 7 Bailey N S, Katinas C and Shin Y C 2017 J. Mater. Process. Technol. 247 223 8 Wang L, Jiang X, Zhu Y, Zhu X, Sun J and Yan B 2018 Int. J. Adv. Manuf. Technol. 97 3535 9 Alizadeh-Sh M, Marashi S P H, Ranjbarnodeh E, Shoja-Razavi R and Oliveira J P 2020 Opt. Laser Technol. 128 106244 10 Jiang Y, Cheng Y, Zhang X, Yang J, Yang X and Cheng Z 2020 Optik . 203 164044 11 Li C, Yu Z, Gao J, Zhao J and Han X 2019 Surf. Coatings Technol. 357 965 12 Jiang W, Yahiaoui K, Hall F R and Laoui T 2005 J. Strain Anal. Eng. Des. 40 587 13 Li Y and Gu D 2014 Mater. Des. 63 856 14 Gao W, Zhao S, Wang Y, Zhang Z, Liu F and Lin X 2016 Int. J. Heat Mass Transf. 92 83 15 Farahmand P and Kovacevic R 2014 Opt. Laser Technol. 63 154 16 Hao M and Sun Y 2013 Int. J. Heat Mass Transf. 64 352 17 Wirth F and Wegener K 2018 Addit. Manuf. 22 307 18 Gao J, Wu C, Hao Y, Xu X and Guo L 2020 Opt. Laser Technol. 129 106287 19 Mohajernia B, Urbanic R J and Nazemi N 2019 IFAC-PapersOnLine 52 236 20 Khamidullin B A, Tsivilskiy I V, Gorunov A I and Gilmutdinov A K 2019 Surf. Coatings Technol. 364 430 21 Sun S, Fu H, Chen S, Ping X, Wang K, Guo X, Lin J and Lei Y 2019 Opt. Laser Technol. 117 175 22 Chew Y, Pang J H L, Bi G and Song B 2015 J. Mater. Process. Technol. 224 89 23 Ghorashi M S, Farrahi G H and Movahhedy M R 2019 J. Manuf. Process. 42 149 24 Lian G F, Yao M P, Liu Z C, Yang S, Chen CR, Wang H, Xiang Y S and Cong W L 2019 Procedia Manuf. 34 233 25 Prasad R, Waghmare D T, Kumar K and Masanta M 2020 Surf. Coatings Technol. 385 125417 26 Zhao Y, Chen L, Sun J and Yu T 2020 Optik. 212 164714 27 Shen F, Tao W, Li L, Zhou Y, Wang W and Wang S 2020 Appl. Surf. Sci. 517 146085 28 Cui Z, Qin Z, Dong P, Mi Y, Gong D and Li W 2020 Mater. Lett. 259 126769 29 Yan Z, Liu W, Tang Z, Liu X, Zhang N, Wang Z and Zhang H 2019 J. Manuf. Process. 44 309 30 Schopphoven T, Gasser A, Wissenbach K and Poprawe R 2016 J. Laser Appl. 28 022501 31 Liang W, Murakawa H and Deng D 2015 Mater. Des. 67 303 32 Chen Q, Yang J, Liu X, Tang J and Huang B 2019 J. Manuf. Process. 45 290 33 Yevko V, Park C B, Zak G, Coyle T W and Benhabib E B 1998 Rapid Prototyp. J. 4 168 34 Deshpande A A, Tanner D W J, Sun W, Hyde T H and McCartney G 10.1177/14644207JMDA349 2011 Proc. Inst. Mech. Eng. Part L J. Mater. Des. Appl. 225 1 35 Javadi Y, Akhlaghi M and Najafabadi M A 2013 Mater. Des. 45 628 36 Zou S, Xiao H, Ye F, Li Z, Tang W, Zhu F, Chen C and Zhu C 2020 Results Phys. 16 103005 37 Deus A M and Mazumder J2006 ICALEO\circledR 2006: 25th International Congress on Laser Materials Processing and Laser Microfabrication 496 38 Zhang H, Wang Y, Han T, Bao L, Wu Q and Gu S 2020 J. Manuf. Process. 51 95 39 Toyserkani E, Khajepour A and Corbin S 2004 Opt. Lasers Eng. 41 849 40 Zhao H Y, Zhang H T, Xu C H and Yang X Q 2009 Trans. Nonferrous Met. Soc. China 19 s495 41 Tao Y, Li J, Lü Y and Hu L 2017 Trans. Nonferrous Met. Soc. China 27 2043 42 Du L, Gu D, Dai D, Shi Q, Ma C and Xia M 2018 Opt. Laser Technol. 108 207 43 Koruba P, Wall K and Reiner J 2018 Procedia CIRP 74 719 44 Simchi A and Pohl H 2003 Mater. Sci. Eng. A 359 119 |
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
|
|
|