Investigation of High-Temperature Erosion Behavior of NiCrAlY/TiO2 Plasma Coatings on Titanium Substrate

Madhu Sudana Reddy, G.; Durga Prasad, C.; Kollur, Shanthala; Lakshmikanthan, Avinash; Suresh Kumar, R.; Aprameya, C. R.

doi:10.1007/s11837-023-05894-4

Cited by 52 publications

(1 citation statement)

References 31 publications

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“…This method can generate metallic structures directly from CAD data, which cuts down on processing time and eliminates the risk of human error. Finally, LENS can produce complex near-net shape structures that does not require surface finishing [27][28].…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis of Multiwalled Carbon Nanotube Deposition for Enhancing Mechanical and Tribological Characteristics in Aluminium-Based Metal Matrix Composites

2023

jjmie

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Utilizing Laser Engineered Net Shaping (LENS), nanocomposites were generated by mechanically combining metal powders with various amounts of multi-walled carbon nanotubes (CNTs). To produce free-standing bulk structures and coatings, the LM6 (Al-12Si-0.6Fe-0.5Mn-0.3Mg-0.1Ni-0.1Zn) alloy was chosen owing to its exceptional corrosion resistance in typical atmospheric and marine environments. The LENS technique was employed to fabricate the coating-substrate interface for LM6 coated Al-2024 and MWCNT-LM6 coated Al-2024. The addition of MWCNTs to the Al-Si matrix enhanced the tribological properties of LM6. SEM images revealed abrasive wear as the primary wear mechanism. A pin-ondisc wear tester was utilized to study the friction and wear behavior of the composite under a load of 1 N and a sliding speed of 50 mms-1. The addition of MWCNTs resulted in a reduction of the friction coefficient because of the MWCNT's selflubricating characteristic and unique topological structure. Moreover, the volumetric wear rate dropped considerably, and thermal properties were significantly enhanced with the inclusion of MWCNTs. A 25% increase in thermal conductivity was seen after the addition of 8% vol MWCNTs to LM6 coated Al-2024.

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Section: Introductionmentioning

confidence: 99%