Elkaseer Ahmed, Abdelgaliel Islam H, Lambarri Jon, Quintana Iban, Scholz Steffen, Aly Mohamed F
Department of Mechanical Engineering, Faculty of Engineering, The British University in Egypt (BUE), El- Sherouk City, 11837, Egypt.
Department of Production Engineering and Mechanical Design, Faculty of Engineering, Port Said University, Port Fuad, 42526, Egypt.
Sci Rep. 2024 Dec 30;14(1):31698. doi: 10.1038/s41598-024-81233-0.
This study investigates the ablation performance of Inconel 718, a nickel-based superalloy, and metal matrix polycrystalline diamond (MMPCD), a super composite, using a nano-second (ns) pulsed laser across a range of ablation conditions. Single trenches varying in energy fluence and scanning speeds were created, analyzing the experimental responses in terms of ablation rate and surface roughness. Using regression techniques, models were developed to understand these relationships. Four multi-objective optimization algorithms, weighted value grey wolf optimizer (WVGWO), multi-objective Pareto search (MOPS), multi-objective genetic algorithm (MOGA), and multi-objective sunflower optimization (MOSFO), were employed to optimize these models. Key findings include MMPCD achieving the highest ablation rates at maximum fluence and lower speeds with negligible recast, resulting in smoother surfaces, whereas Inconel 718 reached its peak rates at similar conditions but exhibited significant surface recast. This research provides valuable insights into ns-pulsed laser machining for advanced materials, emphasizing the impact of fluence and scanning speed on achieving high ablation rates and minimal surface roughness.
本研究使用纳秒（ns）脉冲激光，在一系列烧蚀条件下，研究了镍基高温合金因科镍718和超级复合材料金属基多晶金刚石（MMPCD）的烧蚀性能。创建了能量通量和扫描速度不同的单条沟槽，从烧蚀速率和表面粗糙度方面分析实验响应。使用回归技术建立模型以理解这些关系。采用了四种多目标优化算法，即加权值灰狼优化器（WVGWO）、多目标帕累托搜索（MOPS）、多目标遗传算法（MOGA）和多目标向日葵优化（MOSFO）对这些模型进行优化。主要发现包括，MMPCD在最大通量和较低速度下实现了最高烧蚀速率，重铸现象可忽略不计，从而使表面更光滑；而因科镍718在类似条件下达到峰值速率，但表面出现明显重铸。本研究为先进材料的纳秒脉冲激光加工提供了有价值的见解，强调了通量和扫描速度对实现高烧蚀速率和最小表面粗糙度的影响。
