MATERIALS TRANSACTIONS
Online ISSN : 1347-5320
Print ISSN : 1345-9678
Prediction and Improvement of Mechanical Properties of Corrosion Resistant Superalloy K44 with Adjusting Minor Additions C, B and Hf
Jianting GuoJieshan HouLanzhang ZhouHengqiang Ye
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JOURNALS FREE ACCESS

2006 Volume 47 Issue 1 Pages 198-206

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Abstract

The neural network (NN) method is applied to predict the influence of minor additions C, B and Hf on mechanical properties of cast superalloy K44 with heat treatment parameters considered. Furthermore, the influence of minor additions C, B and Hf on phase stability is estimated using d-electrons theory. The results from these two methods indicate that decreasing C content, increasing B content and doping 0.2–0.3 mass% Hf can balance the desired mechanical properties and phase stability in K44 alloy, which also is confirmed experimentally through the relation between mechanical properties and phase stability of base/modified K44 alloys.

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© 2006 The Japan Institute of Metals and Materials
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