Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.3390/met14080929

Аннотация: <jats:p>This study explores the potential application of the mechanical activation (MA) of nickel powder for incorporation into the composition of powder wire blends for the deposition of wear-resistant coatings. Nickel powder of PNE-1 grade was processed in a vibrational mill for various durations (4 to 16 min) with different combПоказать полностьюinations of grinding media. The influence of MA parameters on the bulk density and apparent particle size of nickel powder was investigated. The greatest effect was observed at the maximum processing time of 16 min, where electron microscopy revealed significant deformation and an increase in discoid particles, leading to enhanced energy accumulation. Nickel powder processed with a combination of 6 balls that are 20 mm in diameter and 8 balls that are 10 mm in diameter showed significant changes, though no major alteration in chemical composition was noted. XRMA indicated that the powder’s surface was partially covered with oxides, with a composition of 96.8–98.4% Ni and 0.8–1.7% O2. Additionally, the effect of nickel powders after the treatment on the structure of deposited metal was determined, demonstrating alterations in the morphology and a slight increase in hardness. Furthermore, a convolutional neural network (CNN)-based approach was proposed to discern fragments within images depicting surface microstructures, both with and without MA.</jats:p>

Журнал: Metals

Выпуск журнала: Т. 14, № 8

Номера страниц: 929

ISSN журнала: 20754701

Издатель: MDPI AG

• Malashin Ivan (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Kobernik Nikolay (Welding and Control Scientific and Educational Center at Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Pankratov Alexandr (Welding and Control Scientific and Educational Center at Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Andriyanov Yuri (Welding and Control Scientific and Educational Center at Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Aleksandrova Vitalina (Welding and Control Scientific and Educational Center at Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Tynchenko Vadim (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Nelyub Vladimir (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia)
• Borodulin Aleksei (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Gantimurov Andrei (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Martysyuk Dmitry (Center NTI “Digital Materials Science: New Materials and Substances”, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Galinovsky Andrey (Center NTI “Digital Materials Science: New Materials and Substances”, Bauman Moscow State Technical University, 105005 Moscow, Russia)

• Ядро РИНЦ (eLIBRARY.RU)