Specifications

as-cast, solution treatment and aging hardening of the Mg-3Sn-1Y alloy by different aging
treatments after solution treatment were investigated by an Olympus GX71 optical microscope
(OM), an FEI QUANTA 400 scanning electron microscope (SEM) equipped with an
energy-dispersive X-ray spectroscop (EDS), a RigakuD/max-3C X-ray diffraction (XRD), a
TUKON2100 Vickers hardness tester and a CRY-2P differential thermal analyzer (DTA). The results
show that as-cast Mg-3Sn-1Y alloy consists of dendritic α-Mg and intermittent mesh
inter-dendrite boundaries Mg2Sn phase, the dispersion tiny particles and fine rod-shaped MgSnY
phase. After the solution treatment, the Mg2Sn phase is completely redissolved, and the MgSnY
phase with the high temperature stability still distributes in the matrix. The addition of yttrium
elements can improve the high temperature stability of Mg-Sn alloy. Mg-3Sn-1Y alloy exhibits
obvious aging hardening characteristics. The increase of the aging temperature is advantageous
to the occurrence of aging hardening peak to some extent. On the contrary, grain growth of the
matrix will decrease the function of separation and strengthening and delay the appearance of
aging hardening peak as the ageing temperature is too high.
Number of references: 17
Main heading: Tin alloys
Controlled terms: Alloys - Cerium alloys - Differential thermal analysis - Grain
growth - Hardening - Magnesium - Magnesium alloys - Microstructure -
Scanning electron microscopy - Tin - X ray diffraction
Uncontrolled terms: Aging hardening - Differential thermal analyzers - Effects of heat
treatment - Energy dispersive x-ray - High temperature stability - Optical microscopes
- Solution heat treatment - Solution treatments
Classification code: 933 Solid State Physics - 801 Chemistry - 741.1 Light/Optics -
547.2 Rare Earth Metals - 951 Materials Science - 546.2 Tin and Alloys - 537.1 Heat
Treatment Processes - 531.2 Metallography - 531.1 Metallurgy - 542.2 Magnesium
and Alloys
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
9.
Accession number: 20131216137619
Title: Brain storm optimization algorithm for multi-objective optimization problems
Authors: Xue, Jingqian1 ; Wu, Yali1 ; Shi, Yuhui2 ; Cheng, Shi2/薛敬千;吴亚丽;;;
Author affiliation: 1 School of Automation and Information Engineering, Xi'an University of
Technology, Shaanxi, China
2 Dept. of Eletrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou,
China
Corresponding author: Xue, J. ([e-mail])
Source title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial
Intelligence and Lecture Notes in Bioinformatics)
Abbreviated source title: Lect. Notes Comput. Sci.
Volume: 7331 LNCS
Issue: PART 1
Monograph title: Advances in Swarm Intelligence - Third International Conference, ICSI 2012,
Proceedings