LI, Fengren ;LI, Chao ;ZHOU, Juan ;HE, Jiantao ;WANG, Jiebin ;LUO, Cong ;LI, Si . Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.. Articles in Press, [S.l.], v. 0, n.0, p. , april 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/>. Date accessed: 09 may. 2024. doi:http://dx.doi.org/.
Li, F., Li, C., Zhou, J., He, J., Wang, J., Luo, C., & Li, S. (0). Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.. Articles in Press, 0(0), . doi:http://dx.doi.org/
@article{.,
author = {Fengren Li and Chao Li and Juan Zhou and Jiantao He and Jiebin Wang and Cong Luo and Si Li},
title = {Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
keywords = {Picosecond laser processing; Parameter optimization; Polyformaldehyde (POM); Grey-Taguchi analysis method; Prediction model; },
abstract = {To investigate the influence of laser process parameters on the surface texture of POM, and to improve POM's processability and process predictability. A comparative experiment and analysis involving multiple processing parameters, including laser power, scanning speed, and pulse width, were conducted on POM. Statistical prediction models of laser processing POM were established among the laser power, scanning speed, pulse width, and texture depth, surface roughness at the bottom of texture, and multi-objective optimization and experimental verification of process parameters were carried out based on the Grey-Taguchi analysis method. Experimental results show that the laser power and scanning speed significantly affect the texture depth. The higher the laser power and the lower the scanning speed is conducive to forming large depth. The surface roughness at the bottom of the texture increases with the increase in scanning speed and shows a tendency to rise and then fall as the laser power increases. The surface roughness and texture depth obtained under the optimal process parameters(A5B1C1) are 1.373μm and 466.891μm respectively, which were reduced by 10.08% and increased by 3.42% compared with the minimum surface roughness and maximum depth in the orthogonal experiments. The validation experiments of the prediction model show that it can meet the reliability requirements, and the errors of the predicted values of depth and surface roughness are 1.86% and 7.60% respectively. The above research provides theoretical and experimental support for the precise control of surface texture prepared by laser processing POM.},
issn = {0039-2480}, pages = {}, doi = {},
url = {https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/}
}
Li, F.,Li, C.,Zhou, J.,He, J.,Wang, J.,Luo, C.,Li, S. 0 April 0. Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.. Articles in Press. [Online] 0:0
%A Li, Fengren %A Li, Chao %A Zhou, Juan %A He, Jiantao %A Wang, Jiebin %A Luo, Cong %A Li, Si %D 0 %T Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization. %B 0 %9 Picosecond laser processing; Parameter optimization; Polyformaldehyde (POM); Grey-Taguchi analysis method; Prediction model; %! Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization. %K Picosecond laser processing; Parameter optimization; Polyformaldehyde (POM); Grey-Taguchi analysis method; Prediction model; %X To investigate the influence of laser process parameters on the surface texture of POM, and to improve POM's processability and process predictability. A comparative experiment and analysis involving multiple processing parameters, including laser power, scanning speed, and pulse width, were conducted on POM. Statistical prediction models of laser processing POM were established among the laser power, scanning speed, pulse width, and texture depth, surface roughness at the bottom of texture, and multi-objective optimization and experimental verification of process parameters were carried out based on the Grey-Taguchi analysis method. Experimental results show that the laser power and scanning speed significantly affect the texture depth. The higher the laser power and the lower the scanning speed is conducive to forming large depth. The surface roughness at the bottom of the texture increases with the increase in scanning speed and shows a tendency to rise and then fall as the laser power increases. The surface roughness and texture depth obtained under the optimal process parameters(A5B1C1) are 1.373μm and 466.891μm respectively, which were reduced by 10.08% and increased by 3.42% compared with the minimum surface roughness and maximum depth in the orthogonal experiments. The validation experiments of the prediction model show that it can meet the reliability requirements, and the errors of the predicted values of depth and surface roughness are 1.86% and 7.60% respectively. The above research provides theoretical and experimental support for the precise control of surface texture prepared by laser processing POM. %U https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/ %0 Journal Article %R %& %P 1 %J Articles in Press %V 0 %N 0 %@ 0039-2480 %8 2024-04-02 %7 2024-04-02
Li, Fengren, Chao Li, Juan Zhou, Jiantao He, Jiebin Wang, Cong Luo, & Si Li. "Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.." Articles in Press [Online], 0.0 (0): . Web. 09 May. 2024
TY - JOUR AU - Li, Fengren AU - Li, Chao AU - Zhou, Juan AU - He, Jiantao AU - Wang, Jiebin AU - Luo, Cong AU - Li, Si PY - 0 TI - Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization. JF - Articles in Press DO - KW - Picosecond laser processing; Parameter optimization; Polyformaldehyde (POM); Grey-Taguchi analysis method; Prediction model; N2 - To investigate the influence of laser process parameters on the surface texture of POM, and to improve POM's processability and process predictability. A comparative experiment and analysis involving multiple processing parameters, including laser power, scanning speed, and pulse width, were conducted on POM. Statistical prediction models of laser processing POM were established among the laser power, scanning speed, pulse width, and texture depth, surface roughness at the bottom of texture, and multi-objective optimization and experimental verification of process parameters were carried out based on the Grey-Taguchi analysis method. Experimental results show that the laser power and scanning speed significantly affect the texture depth. The higher the laser power and the lower the scanning speed is conducive to forming large depth. The surface roughness at the bottom of the texture increases with the increase in scanning speed and shows a tendency to rise and then fall as the laser power increases. The surface roughness and texture depth obtained under the optimal process parameters(A5B1C1) are 1.373μm and 466.891μm respectively, which were reduced by 10.08% and increased by 3.42% compared with the minimum surface roughness and maximum depth in the orthogonal experiments. The validation experiments of the prediction model show that it can meet the reliability requirements, and the errors of the predicted values of depth and surface roughness are 1.86% and 7.60% respectively. The above research provides theoretical and experimental support for the precise control of surface texture prepared by laser processing POM. UR - https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/
@article{{}{.},
author = {Li, F., Li, C., Zhou, J., He, J., Wang, J., Luo, C., Li, S.},
title = {Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization.},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
doi = {},
url = {https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/}
}
TY - JOUR AU - Li, Fengren AU - Li, Chao AU - Zhou, Juan AU - He, Jiantao AU - Wang, Jiebin AU - Luo, Cong AU - Li, Si PY - 2024/04/02 TI - Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization. JF - Articles in Press; Vol 0, No 0 (0): Articles in Press DO - KW - Picosecond laser processing, Parameter optimization, Polyformaldehyde (POM), Grey-Taguchi analysis method, Prediction model, N2 - To investigate the influence of laser process parameters on the surface texture of POM, and to improve POM's processability and process predictability. A comparative experiment and analysis involving multiple processing parameters, including laser power, scanning speed, and pulse width, were conducted on POM. Statistical prediction models of laser processing POM were established among the laser power, scanning speed, pulse width, and texture depth, surface roughness at the bottom of texture, and multi-objective optimization and experimental verification of process parameters were carried out based on the Grey-Taguchi analysis method. Experimental results show that the laser power and scanning speed significantly affect the texture depth. The higher the laser power and the lower the scanning speed is conducive to forming large depth. The surface roughness at the bottom of the texture increases with the increase in scanning speed and shows a tendency to rise and then fall as the laser power increases. The surface roughness and texture depth obtained under the optimal process parameters(A5B1C1) are 1.373μm and 466.891μm respectively, which were reduced by 10.08% and increased by 3.42% compared with the minimum surface roughness and maximum depth in the orthogonal experiments. The validation experiments of the prediction model show that it can meet the reliability requirements, and the errors of the predicted values of depth and surface roughness are 1.86% and 7.60% respectively. The above research provides theoretical and experimental support for the precise control of surface texture prepared by laser processing POM. UR - https://www.sv-jme.eu/article/effect-of-laser-parameters-on-surface-texture-of-polyformaldehyde-pom-and-parameter-optimization/
Li, Fengren, Li, Chao, Zhou, Juan, He, Jiantao, Wang, Jiebin, Luo, Cong, AND Li, Si. "Effect of Laser Parameters on Surface Texture of Polyformaldehyde (POM) and Parameter Optimization." Articles in Press [Online], Volume 0 Number 0 (02 April 2024)
Articles in Press
To investigate the influence of laser process parameters on the surface texture of POM, and to improve POM's processability and process predictability. A comparative experiment and analysis involving multiple processing parameters, including laser power, scanning speed, and pulse width, were conducted on POM. Statistical prediction models of laser processing POM were established among the laser power, scanning speed, pulse width, and texture depth, surface roughness at the bottom of texture, and multi-objective optimization and experimental verification of process parameters were carried out based on the Grey-Taguchi analysis method. Experimental results show that the laser power and scanning speed significantly affect the texture depth. The higher the laser power and the lower the scanning speed is conducive to forming large depth. The surface roughness at the bottom of the texture increases with the increase in scanning speed and shows a tendency to rise and then fall as the laser power increases. The surface roughness and texture depth obtained under the optimal process parameters(A5B1C1) are 1.373μm and 466.891μm respectively, which were reduced by 10.08% and increased by 3.42% compared with the minimum surface roughness and maximum depth in the orthogonal experiments. The validation experiments of the prediction model show that it can meet the reliability requirements, and the errors of the predicted values of depth and surface roughness are 1.86% and 7.60% respectively. The above research provides theoretical and experimental support for the precise control of surface texture prepared by laser processing POM.