論文

査読有り
2011年10月

Numerical Simulation of Shrinkage Formation of Pure Sn Casting Using Particle Method

MATERIALS TRANSACTIONS
  • Naoya Hirata
  • ,
  • Koichi Anzai

52
10
開始ページ
1931
終了ページ
1938
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.2320/matertrans.M2011186
出版者・発行元
JAPAN INST METALS

Shrinkage formation often causes fatal defects in castings. Recently, the development of computer technology has provided us with a useful and effective method to predict shrinkage formation. A particle method is a Lagrangian method that uses discrete objects as calculation elements which is referred to as particles, and they can move freely in the space. Therefore, this method can calculate shrinkage formation directly. In this study, solidification simulation and flow simulation programs based on the particle method were combined considering the temperature-dependency of density. The program was applied to the solidification problem of a cylindrical pure Sn casting, and the predicted shrinkage was compared with experimental results. First, the calculation stability for a still fluid was discussed and an improved method was proposed. The flow of a fluid during solidification is quite slow; however, the particle method has a fundamental difficulty in calculating slow flow phenomena. Therefore, creep flow was assumed. When the inertia force was not considered, the calculation stability improved significantly, and introduction of a gravity adjustment coefficient reduced calculation time significantly. Next, the proposed method was applied to shrinkage formation analysis with an influence of air-cooling. As a result, predicted shrinkage shape agreed well with experimental result. [doi:10.2320/matertrans.M2011186]

リンク情報
DOI
https://doi.org/10.2320/matertrans.M2011186
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000297181800013&DestApp=WOS_CPL
ID情報
  • DOI : 10.2320/matertrans.M2011186
  • ISSN : 1345-9678
  • eISSN : 1347-5320
  • Web of Science ID : WOS:000297181800013

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