Controllability of Laser Removal of Aircraft Skin Paint Layer Based on Response Surface Analysis

Wenfeng Yang; Dehui Lin; Mian Zhong; Shaolong Li; Ziran Qian; Guochun Liu; Yu Cao; Yi Xu; Sai Zhang; Guo Li

doi:10.3788/LOP221882

Laser & Optoelectronics Progress, Volume. 60, Issue 15, 1514004(2023)

Controllability of Laser Removal of Aircraft Skin Paint Layer Based on Response Surface Analysis

Wenfeng Yang^1、*, Dehui Lin¹, Mian Zhong¹, Shaolong Li¹, Ziran Qian¹, Guochun Liu¹, Yu Cao², Yi Xu¹, Sai Zhang¹, and Guo Li¹

Author Affiliations

¹Civil Aircraft Composites Maintenance Research Center, Civil Aviation Flight University of China, Guanghan618307, Sichuan, China

²Laser and Optoelectronic Intelligent Manufacturing Research Institute, Wenzhou University, Wenzhou 325035, Zhejiang, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(18)

Fig. 1. Laser processing equipment diagram and process diagram. (a) Laser processing equipment; (b) schematic diagram of the process

Download full size

Fig. 2. Schematic of laser cleaning. (a) Cleaning area; (b) path of spot scanning

Download full size

Fig. 3. Description of paint removal thickness measurement method

Download full size

Fig. 4. Illustration of the Box-Behnken experimental design with three factors and three levels

Download full size

Fig. 5. Effect of laser multiparameter coupling on T

Download full size

Fig. 6. Interaction of laser power and number of scans on the thickness of paint removal. (a) Contour graph; (b) response graph

Download full size

Fig. 7. Effect of laser multiparameter coupling on S_a

Download full size

Fig. 8. Schematic diagram of the lap joint shape of the crater

Download full size

Fig. 9. Interaction of laser power and number of scans on S_a. (a) Contour graph; (b) response graph

Download full size

Fig. 10. Macro effect and measurements of the samples obtained in scheme 1. (a) Macro effect; (b) thickness of the paint layer removal; (c) surface roughness

Download full size

Fig. 11. Macro effect and measurements of the samples obtained in scheme 2. (a) Macro effect; (b) thickness of the paint layer removal; (c) surface roughness

Download full size

Table 1. Main parameters of the laser
View table
Table 1. Main parameters of the laser
Average power
P /W
Pulse frequency
f /kHz
Beam diameter
D /μm
Scan speed
v /（mm·s^-1）
Pulse duration
τ_p /ns
0—120 1—200 50 0—8000 60—350

Table 2. Test factor and level coding table
View table
Table 2. Test factor and level coding table
Factor Extreme value
Low（-1） Medium（0） High（1）
Power P /W 24 30 36
Spot overlap rate $α$ /% 60 70 80
Number of scans N 1 2 3

Table 3. Response surface experimental design matrix and experimental results

View table

Table 3. Response surface experimental design matrix and experimental results

No.	Parameter			Result
No.	P /W	$α$ /%	N	T /μm	S_a /μm
R1	24	60	2	11.59	3.13
R2	36	60	2	24.39	4.16
R3	30	60	1	9.82	2.10
R4	30	60	3	29.94	3.02
R5	24	70	1	6.85	2.21
R6	36	70	3	16.74	2.47
R7	24	70	3	18.53	2.43
R8	36	70	2	65.50	2.99
R9	30	70	2	23.05	3.34
R10	30	70	2	24.93	3.31
R11	30	70	2	27.61	3.16
R12	30	70	2	27.59	3.00
R13	30	70	2	23.30	3.87
R14	24	80	2	18.09	2.95
R15	36	80	2	53.84	3.50
R16	30	80	1	15.93	2.31
R17	30	80	3	60.86	2.15

Table 4. Analysis of variance for paint removal thickness model

View table

Table 4. Analysis of variance for paint removal thickness model

Source	Sum of square	Degree of freedom	Mean square	F_value	Prob>F	Significant
Model	4652.43	6	775.40	121.09	<0.0001	Yes
A- $α$	665.76	1	665.76	103.97	<0.0001	—
B-P	1388.91	1	1388.91	216.90	<0.0001	—
C-N	1968.47	1	1968.47	307.41	<0.0001	—
AB	131.68	1	131.68	20.56	0.0011	—
AC	153.88	1	153.88	24.03	0.0006	—
BC	343.73	1	343.73	53.68	<0.0001	—
Residual	64.03	10	6.40	—	—	—
Lack of fit	44.25	6	7.38	1.49	0.3640	No
Pure error	19.78	4	4.94	—	—	—
Cor total	4716.46	16	—	—	—	—

Table 5. Analysis of variance for surface roughness model

View table

Table 5. Analysis of variance for surface roughness model

Source	Sum of square	Degree of freedom	Mean square	F_value	Prob>F	Significant
Model	5.29	9	0.59	8.14	0.0057	Yes
A- $α$	0.280	1	0.280	3.89	0.0890	—
B-P	0.720	1	0.720	9.96	0.0160	—
C-N	0.280	1	0.280	3.89	0.0892	—
AB	0.058	1	0.058	0.80	0.4017	—
AC	0.290	1	0.290	4.03	0.0846	—
BC	0.022	1	0.022	0.31	0.5943	—
A²	1.012×10^-3	1	1.012×10^-3	0.014	0.9092	—
B²	0.055	1	0.055	0.76	0.4112	—
C²	3.610	1	3.610	49.89	0.0002	—
Residual	0.510	7	0.072	—	—	—
Lack of fit	0.076	3	0.025	0.24	—	No
Pure error	0.430	4	0.110	—	—	—
Cor total	5.800	16	—	—	—	—

Table 6. Optimization criteria and weight

View table

Table 6. Optimization criteria and weight

Name	Criteria			Weight
Name	Goal	Lower	Upper	Weight
Spot overlap rate $α$ /%	In range	60	80	1
Power P /W	In range	24	36	1
Number of scans N	Equal to 2	1	3	1
Paint layer removal thickness T /μm	Target（30/50）	6.85	65.50	1
Surface roughnessS_a /μm	Maximize	2.10	4.16	1

Table 7. Optimization results of parameter coupling and experimental verification

View table

Table 7. Optimization results of parameter coupling and experimental verification

Target	No.	T /μm	Error /μm	S_a /μm	Error /%	Target	No.	T /μm	Error /μm	S_a /μm	Error /%
30 μm	P_re	30.00	—	3.95	—	50 μm	P_re	50.00	—	3.54	—
	L₁	29.06	0.94	3.58	0.37		T₁	45.54	4.46	3.37	0.17
	L₂	27.50	2.50	3.78	0.17		T₂	48.18	1.82	3.67	0.13
	L₃	28.37	1.63	3.64	0.31		T₃	51.88	1.88	3.45	0.09

Tools

Get Citation

Copy Citation Text

Wenfeng Yang, Dehui Lin, Mian Zhong, Shaolong Li, Ziran Qian, Guochun Liu, Yu Cao, Yi Xu, Sai Zhang, Guo Li. Controllability of Laser Removal of Aircraft Skin Paint Layer Based on Response Surface Analysis[J]. Laser & Optoelectronics Progress, 2023, 60(15): 1514004

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites