A Simple Model to Predict Machined Depth and Surface Profile for Picosecond Laser Surface Texturing
Source abstract
Abstract
A simple mathematical model was developed to predict the machined depth and surface profile in laser surface texturing of micro-channels using a picosecond laser. Fabrication of micro-craters with pulse trains of different numbers was initially performed. Two baseline values from the created micro-craters were used to calculate the estimated simulation parameters. Thereafter, the depths and profiles with various scanning speeds or adjacent intervals were simulated using the developed model and calculated parameters. Corresponding experiments were conducted to validate the developed mathematical model. An excellent agreement was obtained for the predicted and experimental depths and surface profiles. The machined depth decreased with the increase of scanning speed or adjacent interval.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Laser Material Processing Techniques · Tribology and Lubrication Engineering · Advanced Surface Polishing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu 210031, China
Funding
National Natural Science Foundation of China · the Fundamental Research Funds for the Central Universities · Natural Science Foundation of Jiangsu Province · Young Teachers Fund of Nanjing Agricultural University · Foundation for Distinguished Young Talents, College of Engineering, Nanjing Agricultural University
References (32)
Show source-provided references
1. Recent development on surface texturing in enhancing tribological performance of bearing sliders10.1016/j.surfcoat.2015.04.017 ↗
2. Fabrication and tribological behaviors of corner-cube-like dimple arrays produced by laser surface texturing on medical needles10.1016/j.triboint.2015.07.042 ↗
3. Surface-blended texturing of medical needles for friction reduction using a picosecond laser10.1007/s00339-016-9892-2 ↗
4. Creating micro textured surfaces for the improvement of surface wettability through ultrasonic vibration assisted turning10.1007/s00170-018-1580-2 ↗
5. Modification of wetting property of Inconel 718 surface by nanosecond laser texturing10.1016/j.apsusc.2017.04.050 ↗
6. Fabrication of ordered hierarchical structures on stainless steel by picosecond laser for modified wettability applications10.1364/OE.26.018998 ↗
7. Cell adhesion to textured silicone surfaces: The influence of time of adhesion and texture on focal contact and fibronectin fibril formation10.1089/ten.1999.5.223 ↗
8. Slanted functional gradient micropillars for optimal bioinspired dry adhesion10.1021/acsnano.7b07493 ↗
9. Bioinspired hierarchical surface structures with tunable wettability for regulating bacteria adhesion10.1021/acsnano.5b04231 ↗
10. Black nonreflecting silicon surfaces for solar cells10.1063/1.2204573 ↗
11. Zhou, H., Xu, J., Liu, X., Zhang, H., Wang, D., Chen, Z., and Fan, T. (2017). Bio-inspired photonic materials: Prototypes and structural effect designs for applications in aolar energy manipulation. Adv. Funct. Mater.10.1002/adfm.201705309 ↗
12. Design and fabrication of broadband ultralow reflectivity black Si surfaces by laser micro/nanoprocessing10.1038/lsa.2014.66 ↗
13. State of the art in laser surface texturing10.1115/1.1828070 ↗
14. Transient evaporative laser-cutting with boundary element method10.1016/S0307-904X(00)00034-2 ↗
15. Transient evaporative laser cutting with moving laser by boundary element method10.1016/j.apm.2004.03.001 ↗
16. Modeling pulsed laser ablation of aluminum with finite element analysis considering material moving front10.1016/j.ijheatmasstransfer.2017.06.056 ↗
17. One-dimensional multipulse laser machining of structural alumina: Evolution of surface topography10.1007/s00170-012-4709-8 ↗
18. Surface topography in three-dimensional laser machining of structural alumina10.1016/j.jmapro.2015.04.002 ↗
19. Ultrashort laser ablation of metals: Pump-probe experiments, the role of ballistic electrons and the two-temperature model10.1016/S0169-4332(02)00318-5 ↗
20. Multi-material two-temperature model for simulation of ultra-short laser ablation10.1016/j.apsusc.2007.01.103 ↗
21. Modeling of multi-burst mode pico-second laser ablation for á improved material removal rate10.1007/s00339-009-5405-x ↗
22. Micromachining of copper by femtosecond laser pulses10.1016/j.apsusc.2012.10.200 ↗
23. An improved three-dimensional two-temperature model for multi-pulse femtosecond laser ablation of aluminum10.1063/1.4907990 ↗
24. Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 steel10.1080/10426910802679568 ↗
25. Neural network modeling and analysis of the material removal process during laser machining10.1007/s00170-002-1441-9 ↗
26. Micro-channels machining on polycrystalline diamond by nanosecond laser10.1016/j.optlastec.2018.07.024 ↗
27. Modeling of machined depth in laser surface texturing of medical needles10.1016/j.precisioneng.2016.06.012 ↗
28. A model to predict the ablation width and calculate the ablation threshold of femtosecond laser10.1016/j.apsusc.2018.06.093 ↗
29. A time based method for predicting the workpiece surface micro-topography under pulsed laser ablation10.1016/j.jmatprotec.2014.07.008 ↗
30. Analytical and numerical modeling of light scattering in composite transmission laser welding process10.1007/s12289-013-1154-7 ↗
31. Simple technique for measurements of pulsed Gaussian-beam spot sizes10.1364/OL.7.000196 ↗
32. Effect of overlap and overscan number in laser surface texturing of medical needles10.1007/s00339-015-9157-5 ↗