[HTML][HTML] Hardening-softening of Al0. 3CoCrFeNi high-entropy alloy under nanoindentation
The competition and balance mechanism between work hardening resulting from the surge
in dislocations and material softening caused by plastic deformation during contact loading …
in dislocations and material softening caused by plastic deformation during contact loading …
Coalescence of Al0.3CoCrFeNi polycrystalline high-entropy alloy in hot-pressed sintering: a molecular dynamics and phase-field study
Q Guo, H Hou, K Wang, M Li, PK Liaw… - npj Computational …, 2023 - nature.com
Existing hot sintering models based on molecular dynamics focus on single-crystal alloys.
This work proposes a new multiparticle model based on molecular dynamics to investigate …
This work proposes a new multiparticle model based on molecular dynamics to investigate …
Dual influences of deformation-induced W precipitates on dynamic recrystallization and fracture mechanism of the hot-extruded Mg-Y-Zn alloys: an experimental and …
C Shuai, W Liu, H Li, K Wang, Y Zhang, T Xie… - International Journal of …, 2023 - Elsevier
Understanding the relationship between nano-sized precipitates and dynamic
recrystallization (DRX) during thermo-mechanical processing is vital for developing high …
recrystallization (DRX) during thermo-mechanical processing is vital for developing high …
[HTML][HTML] Robustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differences
X Pei, Y hong Zhao, L Chen, Q Guo, Z Duan, Y Pan… - Materials & Design, 2023 - Elsevier
Appropriate image preprocessing could improve machine learning performance, but the
robustness of machine learning to preprocessing methods in micrograph datasets with …
robustness of machine learning to preprocessing methods in micrograph datasets with …
[HTML][HTML] Optimization of chemical treatment process parameters for enhancement of mechanical properties of Kenaf fiber-reinforced polylactic acid composites: A …
As advancements in sustainable material science continue, kenaf fiber and polylactic acid
(KF/PLA) composites have emerged as promising eco-friendly alternatives. The current …
(KF/PLA) composites have emerged as promising eco-friendly alternatives. The current …
[HTML][HTML] Enhancement in wear-resistance of 30MNCRB5 boron steel-substrate using HVOF thermal sprayed WC–10% Co–4% Cr coatings: a comprehensive research …
The rotavator blade, a part of an agricultural equipment rotavator, is used for the soil bed
preparation. These blades have direct interaction with soil in agricultural land. Bad, rocky …
preparation. These blades have direct interaction with soil in agricultural land. Bad, rocky …
[HTML][HTML] An analysis of microstructural morphology, surface topography, surface integrity, recast layer, and machining performance of graphene nanosheets on Inconel …
Inconel 718 finds extensive applications in the aviation and aerospace industries,
particularly in the manufacturing of jet engines and high-speed airframe components like …
particularly in the manufacturing of jet engines and high-speed airframe components like …
[HTML][HTML] Homogeneity, metallurgical, mechanical, wear, and corrosion behavior of Ni and B4C coatings deposited on 304 stainless steels developed by microwave …
The microwave cladding technique for depositing Ni and 10% B 4 C coatings on 304
stainless steel has yielded significant advancements in material properties and …
stainless steel has yielded significant advancements in material properties and …
[HTML][HTML] Designing high elastic modulus magnesium-based composite materials via machine learning approach
Abstracts Magnesium alloys, renowned for their lightweight characteristics, are widely
utilized in industries such as aerospace and automotive. However, the limited modulus of …
utilized in industries such as aerospace and automotive. However, the limited modulus of …
Rethinking materials simulations: Blending direct numerical simulations with neural operators
Materials simulations based on direct numerical solvers are accurate but computationally
expensive for predicting materials evolution across length-and time-scales, due to the …
expensive for predicting materials evolution across length-and time-scales, due to the …