研究目的
Investigating the effects of laser ablation parameters such as pulse energy, scanning speed, line spacing and their interactions on surface roughness and coefficient of friction (CoF) of tantalum carbide coated graphite substrates.
研究成果
The optimal combination of laser ablation parameters for obtaining minimum CoF of 0.3406 and minimum surface roughness 7.017 μm was predicted at a higher pulse energy of 250 μJ, lower scanning speed of 100 mm/s and lower line spacing of 10 μm with a desirability index of 0.97. The correlation between Ra and CoF was found to be linear at lower pulse energy zone and non-linear at higher pulse energy zone due to the formation of uniform recast layer of TaC coating.
研究不足
The study is limited to the specific conditions of laser ablation parameters and the material (TaC coated graphite substrates). The findings may not be directly applicable to other materials or under different laser ablation conditions.
1：Experimental Design and Method Selection:
The study focused on laser ablation of TaC coated graphite samples using a 20 W Yb-YAG fibre laser under atmospheric conditions. The parameters considered were laser pulse energy (PE), scanning speed (SS), and line spacing (LS) at three different levels.
2：Sample Selection and Data Sources:
Tantalum carbide coatings were deposited on graphite substrates using atmospheric plasma spraying (APS). The coating thickness was about 100 μm.
3：List of Experimental Equipment and Materials:
A 20 W Yb-YAG fibre laser was used for laser ablation. Surface roughness was measured using a 405 nm semiconductor laser confocal microscope. The CoF was measured using a micro scratch tester (Revetest-MST, CSM Instruments, Switzerland).
4：Experimental Procedures and Operational Workflow:
The ablation area of dimension 8 mm × 2 mm on the coatings was considered for experimental studies. The surface roughness and CoF were measured post-ablation.
5：Data Analysis Methods:
ANOVA and regression analysis were used to analyze the effect of laser ablation parameters on surface roughness and CoF. Response Surface Methodology (RSM) was employed for simultaneous optimization of CoF and Ra.
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