論文

査読有り
2007年

Compressive properties of porous metals with homogeneous pore characteristics

ENGINEERING PLASTICITY AND ITS APPLICATIONS FROM NANOSCALE TO MACROSCALE, PTS 1 AND 2
  • M. Hakamada
  • ,
  • Y. Asao
  • ,
  • T. Kuromura
  • ,
  • Y. Yamada
  • ,
  • Y. Chen
  • ,
  • H. Kusuda
  • ,
  • M. Mabuchi

340-341
開始ページ
415
終了ページ
+
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
TRANS TECH PUBLICATIONS LTD

Spacer method is excellent technique of processing porous metals with well-controlled pore characteristics such as porosity (up to 90%) and pore size (as small as several hundred micrometers). Compressive properties of porous aluminum fabricated by the spacer method are investigated. They were subjected to monotonic compression tests at room temperature, and showed less fluctuated flow stress during their compressive deformation than conventional porous aluminum alloy, reflecting their homogeneous pore characteristics. Also, shortening behavior of the porous aluminum fabricated by the spacer method during cyclic compression was significantly differed from that of conventional porous aluminum alloy. Therefore, it can be concluded that the homogeneity of pore characteristics is responsible for compressive properties of porous metals. Monotonic compression tests on porous copper specimens with various porosities, which were made by the spacer method, were also conducted. The yield stress of the porous copper with high porosity (or low relative density) depended on the relative density more strongly than that of the porous copper with low porosity (or high relative density). It is presumed that porous metals with high porosity and ones with low porosities have different deformation mechanisms.

リンク情報
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902217842209430
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000246642100065&DestApp=WOS_CPL
ID情報
  • ISSN : 1013-9826
  • J-Global ID : 200902217842209430
  • Web of Science ID : WOS:000246642100065

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