Dry sliding wear and friction behavior of powder metallurgy FeCoNiAlSi0. 2 high-entropy alloys

H Lee, A Sharma, B Ahn - Wear, 2023 - Elsevier
Wear behaviors of the FeCoNiAlSi 0.2 high-entropy alloy (HEA) and Si-free FeCoNiAl during
the reciprocating sliding wear process were evaluated for automotive piston rings. The HEAs …

Tribological, corrosion, mechanical, and metallurgical behavior of clay and Al2O3-reinforced aluminum-based composite material

SP Dwivedi, S Sharma - Proceedings of the Institution of …, 2024 - journals.sagepub.com
Aluminum-based composite materials have garnered considerable attention in recent years
owing to their outstanding mechanical and tribological properties. The integration of clay …

Microscopic study on the effect of nano-clay-particles on wear behaviors of piston aluminum-silicon alloy under various forces and speeds

A Shahsavand, M Azadi, MSA Parast - Micron, 2023 - Elsevier
In the present article, a microscopic investigation was done on the effect of adding nano-clay-
particles into the aluminum matrix on the wear behaviors of piston aluminum-silicon alloy …

Effect of Training Data Ratio and Normalizing on Fatigue Lifetime Prediction of Aluminum Alloys with Machine Learning

M Matin, M Azadi - International Journal of Engineering, 2024 - ije.ir
It is critical to evaluate the estimation of the fatigue lifetimes for the piston aluminum alloys,
particularly in the automotive industry. This paper investigates the effect of different …

Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions

M Azadi, M Matin - Frattura ed Integrità Strutturale, 2024 - fracturae.com
Various input variables, including corrosion time, fretting force, stress, lubrication, heat-
treating, and nano-particles, were evaluated by modeling of stress-controlled fatigue …

[PDF][PDF] Machine learning-based modeling for estimating bending fatigue lifetimes in AlSi12CuNiMg aluminum alloy of engine pistons under different inputs: Fretting …

M Matin, M Azadi - … , Heat-Treating, Nano-Particles, and Stress, 2023 - researchgate.net
In the present article, different inputs including the fretting force, the corrosion time, the
lubrication, heat-treating, nano-particles, and the stress were considered in various machine …

[PDF][PDF] Determination of the criteria for the transition of the tribosystem to disastrous wear

TMA Al-Quraan, O Mikosianchyk… - Jurnal …, 2024 - jurnaltribologi.mytribos.org
The dominant factor determining the wear resistance of machine parts is the level of strength
of their contact surfaces. When analyzing a tribosystem, an important condition for its …

АНАЛІЗ СИГНАЛІВ АКУСТИЧНОЇ ЕМІСІЇ ТРИБОСИСТЕМИ В УМОВАХ СТУПЕНЕВОГО ПІДВИЩЕННЯ НАВАНТАЖЕННЯ

ВВ ТОКАРУК, РГ МНАЦАКАНОВ… - Problems of Friction …, 2024 - search.ebscohost.com
Проведена оцінка працездатності електроіскрових покриттів в умовах ступеневого
підвищення навантаження на основі аналізу сигналів акустичної емісії (АЕ). Мета …

АНАЛІЗ СИГНАЛІВ АКУСТИЧНОЇ ЕМІСІЇ ТРИБОСИСТЕМИ В УМОВАХ СТУПЕНЕВОГО ПІДВИЩЕННЯ НАВАНТАЖЕННЯ

V Tokaruk, R Mnatsakanov, O Mikosianchyk… - Problems of Friction and … - jrnl.nau.edu.ua
An evaluation of the performance of electric spark coating in conditions of stepped load
increase was carried out based on the analysis of acoustic emission (AE) signals. The …