Chinese Journal of Lasers, Volume. 49, Issue 22, 2202001(2022)
Optimization of Laser Cleaning Process Parameters for Petroleum Pipe Threads Based on Response Surface Method and Particle Swarm Algorithm
Fig. 1. Laser cleaning platform. (a) Principle diagram of laser cleaning; (b) experimental equipment for laser cleaning; (c) scanning electron microscope; (d) confocal laser microscope; (e) ultra-depth-of-field microscope; (f) laser cleaning test bench for pipe thread
Fig. 2. Surface morphologies of rust layer. (a) Macro-morphology of petroleum pipe thread; (b) micro-morphology of peeling layer easy to fall off in rust layer; (c) micro-morphology of dense layer; (d) element content distribution of rust layer
Fig. 3. Thread surface after laser cleaning. (a) Overall morphology; (b) local amplification at A′
Fig. 5. Micro-morphologies under different laser powers. (a) 600 W; (b) 550 W; (c) 500 W; (d) 450 W; (e) 400 W
Fig. 8. Micro-morphologies under different defocusing amounts. (a) +4 mm; (b) +3 mm; (c) +2 mm; (d) +1 mm; (e) 0 mm
Fig. 11. Micro-morphologies under different scanning speeds. (a) 3000 mm/s; (b) 2500 mm/s; (c) 2000 mm/s; (d) 1500 mm/s; (e) 1000 mm/s
Fig. 18. Molten pool morphology after cleaning under optimized process parameters
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Xingwei Sun, Zhong Zhang, Heran Yang, Zhixu Dong, Yin Liu. Optimization of Laser Cleaning Process Parameters for Petroleum Pipe Threads Based on Response Surface Method and Particle Swarm Algorithm[J]. Chinese Journal of Lasers, 2022, 49(22): 2202001
Category: laser manufacturing
Received: Dec. 10, 2021
Accepted: Jan. 20, 2022
Published Online: Nov. 9, 2022
The Author Email: Yang Heran (yangheran@sut.edu.cn)