Results 51 to 60 of about 57,247 (319)

Microstructure and mechanical properties with different sintering temperature of AZ91D alloy

Journal of Magnesium and Alloys
The regulation of sintering temperature in spark plasma sintering enables the achievement of grain refinement, phase control, and performance enhancement in the preparation of AZ91D magnesium alloy.
Limin Li, Huanqing Li, Pengya Lei, Wei Liu, Liwen Chen, Hua Hou, Yuhong Zhao   +6 more
doaj   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

Hardening of an Al-Cu-Mg alloy containing type I and II S phase precipitates

, 2010
The effect of different thermo-mechanical treatments on the hardness of the 2024 (Al-Cu-Mg) alloy was studied. Artificial ageing was conducted through heating at a constant rate to specific temperatures followed by rapid cooling.
Starink, M.J., Wang, S.C., Parel, T.S.
core   +1 more source

Dislocation loop and irradiation-induced synergistic-competitive mechanism in Cu-rich precipitates: a phase-field study

Scientific Reports
Both irradiation and dislocations have been proposed as routes to rationally manipulate spatial distribution and micromorphology of precipitate. An interesting effect emerges in Fe–10at.%Cu–3at.%Mn–1.5at.%Ni–1.5at.%Al alloy due to the synergistic ...
Wenkui Yang, Qingwei Guo, Kaile Wang, Pengya Lei, Hua Hou, Yuhong Zhao   +5 more
doaj   +1 more source

Machine learning coupled with an improved exhaustive method-assisted design of a low cost Ti-Al-Cr-Fe-Si series titanium alloy

Materials & Design
In response to the high cost of titanium alloys and the low efficiency of traditional alloy design methods, this work combines machine learning (ML) with an improved exhaustion method (IEM) to accurately determine the relationship between alloy ...
Yuxin Tan, Ruifeng Dong, Zhiqiang Duan, Huanqing Li, Hua Hou, Yuhong Zhao   +5 more
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Effect of homogenisation conditions on recrystallisation in the Al-Mg-Mn alloy AA5454

, 2007
The purpose of the present work is to understand the microstructure development and, particularly, to control the progress of recrystallisation in hot strip in the Al-Mg-Mn alloy AA 5454, which is typically used for the manufacture of structural ...
McLaren, A. J., Karhausen, K., Osman, M.M., Löchte, L., McLaren, Andrew, Osman, M., Engler, O.   +6 more
core   +1 more source

In Vivo Degradation Behavior of the Magnesium Alloy LANd442 in Rabbit Tibiae [PDF]

, 2011
In former studies the magnesium alloy LAE442 showed promising in vivo degradation behavior and biocompatibility. However, reproducibility might be enhanced by replacement of the rare earth composition metal "E" by only a single rare earth element ...
Reifenrath, Janin, Ullmann, Berit, Dziuba, Dina, Seitz, Jan-Marten, Dirk Bormann, Andrea Meyer-Lindenberg, Bormann, Dirk, Dina Dziuba, Meyer-Lindenberg, Andrea, Berit Ullmann, Janin Reifenrath, Jan-Marten Seitz   +11 more
core   +1 more source

Optimizing casting process using a combination of small data machine learning and phase-field simulations

npj Computational Materials
It has been a challenge to employ machine learning (ML) to optimize casting processes due to the scarcity of data and difficulty in feature expansion. Here, we introduce a nearest neighbor search method to optimize the stratified random sampling in Latin
Xiaolong Pei, Jiaqi Pei, Hua Hou, Yuhong Zhao   +3 more
doaj   +1 more source

Oxidation behaviors of a Ni–Cr–W based superalloy with different microstructures

Journal of Materials Research and Technology
Oxidation behaviors of a Ni–Cr–W based superalloy were investigated in terms of microstructural characteristics. It was found that the specimens with small grains present a better oxidation resistance owing to their higher density of grain boundaries ...
Ruifeng Dong, Yumo Guo, Rui Ma, Xiaomin Yang, Hua Hou, Yuhong Zhao   +5 more
doaj   +1 more source