A machine learning approach to predict the wear behaviour of steels

AS Rajput, S Das - Tribology International, 2023 - Elsevier
One or both surfaces, which come in contact with a relative motion between them, can
experience material loss due to wear. This is a complex phenomenon involving several …

A strategy to control microstructures of a Ni-based superalloy during hot forging based on particle swarm optimization algorithm

DD Chen, YC Lin, XM Chen - Advances in Manufacturing, 2019 - Springer
In this study, a strategy based on the particle swarm optimization (PSO) algorithm is
developed to control the microstructures of a Ni-based superalloy during hot forging. This …

Understanding the complexities of dry sliding wear behaviour of steels

SP Neog, AR Kumar, SD Bakshi… - Materials Science and …, 2021 - journals.sagepub.com
Sliding wear behaviour is a very complex procedure where several parameters, including
nature of the two abrading bodies and variables related to the conditions under which the …

Medium carbon fully pearlitic steel: microstructures and properties after wire drawing

S Das, P Bradley, A Haldar - Materials Science and …, 2019 - journals.sagepub.com
In the current work, fully pearlitic microstructure was initially developed in a medium carbon
steel by isothermal holding at different temperatures. Subsequently, these samples were …

ПРИМЕНЕНИЕ ИСКУССТВЕННОЙ НЕЙРОННОЙ СЕТИ В ЗАДАЧАХ ПО ВЫСОКОСКОРОСТНОМУ ВЗАИМОДЕЙСТВИЮ МЕТАЛЛОВ

НА Грачёва, ЕВ Фомин, АЕ Майер - … моделирование в естественных …, 2020 - elibrary.ru
Работа поддержана Российского научного фонда (проект № 20-11-20153) в части
описания пластической деформации и разрушения и Министерства науки и высшего …