Abstract
High temperature metal casting processes have dualistic nature and conceptually consist of two parts of distinct processes: the first type is deterministic, strictly obeying the physical law, while the second type is stochastic. Therefore, the metal casting processes are not precisely predictable, and deterministic considerations cannot provide exact outcomes. To solve this problem, the combined stochastic and deterministic framework was suggested. The local processes were described using deterministic models for several parameter arrangements, while the distribution of these arrangements on macro level was calculated using stochastic approaches. The approach was used for cast alloy design, investment casting process optimization, and to predict lifetime of heat-resistant casting at high temperature harsh environments. The overview of solved problems could be used as guidelines for application of combined stochastic and physically based simulations in metal casting processing.
Recommended Citation
S. N. Lekakh and O. Neroslavsky, "A Combined Stochastic and Physical Framework for Alloys and Metal Casting Processes Modeling," International Journal of Metalcasting, Springer, Jan 2026.
The definitive version is available at https://doi.org/10.1007/s40962-026-01961-z
Department(s)
Materials Science and Engineering
Publication Status
Open Access
Keywords and Phrases
ductile iron; investment casting; metal casting; oxidation and spallation; stochastic and deterministic models
International Standard Serial Number (ISSN)
2163-3193; 1939-5981
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 Springer, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2026
