Vignesh M, Sujit M, Radhika N, Sathishkumar M, Muthu S M, Dash Khushbu, Mishra Soumya Ranjan
Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India.
Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Sci Rep. 2024 Nov 9;14(1):27398. doi: 10.1038/s41598-024-76350-9.
The creation of new alloys with improved qualities has become essential in modern industries for high-performance materials. This work's main objective is to use vacuum arc melting (VAM) to synthesize two different high-entropy alloys (HEAs): AlCrFeNiCu and AlCrFeNiCo. The mechanical properties, phase composition, grain boundaries, and alloy composition of the HEAs were studied. The predominant crystal structure, the Body-Centred Cubic (BCC) phase was obtained for both alloys. Significantly, the Co-containing HEA showed a smaller particle size than the Cu-containing HEA, which led to a 14.21% increase in microhardness. It indicates that the Co-based HEA will likely perform better than the Cu-based HEA in applications prone to abrasion, and indentation, and requiring high hardness levels based on the observed microstructure and hardness parameters. According to wear surface morphology studies, main effects analysis and ANOVA show that increasing loads and sliding distances increase wear rate, whereas sliding velocity has less effect. The best wear rate-reducing parameters are 10 N, 0.5 m/s, and 500 m for Cu-containing HEAs, and the same can be predicted using regression analysis. The study categorizes the intricate worn surface structure by describing different surface properties and wear mechanisms, such as grooves, delamination, adhesive wear, and pitting.
在现代工业中，制造具有改进性能的新型合金对于高性能材料而言已变得至关重要。这项工作的主要目标是利用真空电弧熔炼（VAM）来合成两种不同的高熵合金（HEA）：AlCrFeNiCu和AlCrFeNiCo。对这些高熵合金的力学性能、相组成、晶界和合金成分进行了研究。两种合金均获得了主要的晶体结构——体心立方（BCC）相。值得注意的是，含钴的高熵合金显示出比含铜的高熵合金更小的粒径，这导致显微硬度提高了14.21%。这表明，基于观察到的微观结构和硬度参数，在容易发生磨损、压痕且需要高硬度水平的应用中，钴基高熵合金可能比铜基高熵合金表现更好。根据磨损表面形态学研究、主效应分析和方差分析表明，增加载荷和滑动距离会增加磨损率，而滑动速度的影响较小。对于含铜的高熵合金，最佳的降低磨损率参数是10 N、0.5 m/s和500 m，并且可以使用回归分析来预测同样的参数。该研究通过描述不同的表面特性和磨损机制，如沟槽、分层、粘着磨损和点蚀，对复杂的磨损表面结构进行了分类。
