Journal article
Computer-assisted optimization of cobalt-base alloy compositions
Journal of Alloys and Compounds, Vol.220(1-2), pp.148-151
1995
Abstract
Cobalt-base hard metals are known for their wear and corrosion resistance and also for their ability to retain hardness at elevated temperatures.
Considering the matrix of these alloys it can be predicted that (a) the performance against corrosive media will improve when the Cr content is increased, (b) a higher W content will be advantageous because of its solid solution strengthening effect, and (c) care has to be taken in the course of liquid phase sintering to avoid unwished-for carbides and/or intermetallic phases, because these would be detrimental with respect to mechanical properties of the alloys.
To locate ranges for optimal matrix and carbide compositions thermodynamic calculations with chemsage were carried out on the basis of recently published data which were improved by a new optimization routine.
A series of phase diagrams was calculated and the optimal compositions of alloys were derived. Furthermore, calculated transition temperatures and phase compositions of some selected alloys compare reasonably with published experimental results.
Details
- Title
- Computer-assisted optimization of cobalt-base alloy compositions
- Authors/Creators
- P. Waldner (Author/Creator) - Montanuniversität LeobenE. Königsberger (Author/Creator) - Montanuniversität LeobenH. Gamsjäger (Author/Creator) - Montanuniversität Leoben
- Publication Details
- Journal of Alloys and Compounds, Vol.220(1-2), pp.148-151
- Publisher
- Elsevier B.V.
- Identifiers
- 991005542615607891
- Copyright
- © 1995 Published by Elsevier B.V.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 7 Engineering & Materials Science
- 7.109 Ceramics
- 7.109.1110 Laser Cladding
- Web Of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering
- ESI research areas
- Materials Science