Dry sliding wear and friction behavior of powder metallurgy FeCoNiAlSi0. 2 high-entropy alloys
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 …
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 …
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
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 …
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
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 …
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
Various input variables, including corrosion time, fretting force, stress, lubrication, heat-
treating, and nano-particles, were evaluated by modeling of stress-controlled fatigue …
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 …
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 …
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 …
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 …
підвищення навантаження на основі аналізу сигналів акустичної емісії (АЕ). Мета …
АНАЛІЗ СИГНАЛІВ АКУСТИЧНОЇ ЕМІСІЇ ТРИБОСИСТЕМИ В УМОВАХ СТУПЕНЕВОГО ПІДВИЩЕННЯ НАВАНТАЖЕННЯ
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 …
increase was carried out based on the analysis of acoustic emission (AE) signals. The …