Exploring the impact of laser surface oxidation parameters on surface chemistry and corrosion behaviour of AISI 316L stainless steel

IF 7.5 Q1 CHEMISTRY, PHYSICAL Applied Surface Science Advances Pub Date : 2024-08-01 DOI:10.1016/j.apsadv.2024.100622
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Abstract

This study delves into the corrosion resistance enhancement of stainless steel through laser processing, focusing on the interplay between surface chemistry, morphology, and electrochemical properties. Two sets of 3 × 3 full factorial design of experiment (DoE) designs were employed to explore the influence of laser process parameters, including power, scan speed, frequency, and hatching distance. The findings underscore the superiority of reduced areal energy in producing optimal corrosion resistance 10 times better then unprocessed stainless steel, demonstrating the best results under optimized conditions of a 15 µm hatching distance, 250 mm/s scan speed, 100 kHz frequency, and 80 % power. X-ray Photoelectron Spectroscopy (XPS) analysis reveals the predominant surface composition of iron and chromium oxides, with variations in the oxide combinations correlating closely with areal energy. Depth profiling revealed the transformation of oxide layers and highlights the importance of chromium-to-iron ratio in surface corrosion behaviour. Cyclic polarisation results demonstrate the formation of passive, transpassive, and pitting domains, with metastable pitting observed in some samples. The direct positive correlation recorded between corrosion current and Cr/Fe ratio underscores the significance of oxide composition in corrosion resistance. Electrochemical impedance spectroscopy (EIS) further confirmed the superior corrosion resistance of laser-processed samples to non-laser processed samples, with lower areal energy exhibiting higher resistance compared to higher areal energy. SEM morphology analysis revealed the removal of surface defects and the formation of a protective oxide layer in laser-processed samples, with lower areal energy samples exhibiting the lowest level of surface defects. The 3D optical profilometer measurements of corrosion pits corroborate these findings, with lower areal energy samples demonstrating the lowest pit depth and area, indicating superior corrosion resistance. Overall, this study provides comprehensive insights into optimizing laser processing parameters to enhance the corrosion resistance of stainless steel, offering valuable understanding and strategy for improving the metal surface corrosion resistance.

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探索激光表面氧化参数对 AISI 316L 不锈钢表面化学性质和腐蚀行为的影响
本研究深入探讨了通过激光加工提高不锈钢耐腐蚀性的问题,重点关注表面化学、形态和电化学性能之间的相互作用。研究采用了两组 3 × 3 全因子实验设计(DoE)来探讨激光加工参数的影响,包括功率、扫描速度、频率和孵化距离。研究结果表明,在 15 µm 的孵化距离、250 mm/s 的扫描速度、100 kHz 的频率和 80 % 的功率等优化条件下,降低等值能量可产生比未处理不锈钢高 10 倍的最佳耐腐蚀性。X 射线光电子能谱 (XPS) 分析表明,铁和铬氧化物是主要的表面成分,氧化物组合的变化与等能量密切相关。深度剖析显示了氧化层的变化,并突出了铬-铁比率在表面腐蚀行为中的重要性。循环极化结果表明形成了被动域、迁移域和点蚀域,并在一些样品中观察到了可迁移点蚀。腐蚀电流与铬/铁比率之间的直接正相关性突出表明了氧化物成分在耐腐蚀性中的重要作用。电化学阻抗光谱(EIS)进一步证实了激光加工样品的耐腐蚀性优于非激光加工样品,与较高的等能量相比,较低的等能量表现出更高的耐腐蚀性。扫描电子显微镜形态分析表明,激光加工样品的表面缺陷被消除,并形成了保护性氧化层,其中低能量样品的表面缺陷程度最低。对腐蚀坑的三维光学轮廓仪测量也证实了这些发现,低等值能量样品的腐蚀坑深度和面积最小,表明其具有优异的耐腐蚀性。总之,这项研究为优化激光加工参数以提高不锈钢的耐腐蚀性提供了全面的见解,为提高金属表面的耐腐蚀性提供了宝贵的认识和策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.10
自引率
1.60%
发文量
128
审稿时长
66 days
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