Design, Manufacturing and Properties of Refractory Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Physics".
Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 48273
Special Issue Editors
Interests: refractory materials; structure; microstructure; design; corrosion; high-temperature resistance; mechanical properties; thermomechanical properties; Artificial Intelligence; machine learning
Interests: refractory raw materials; design of refractory materials; corrosion; structure; microstructure; thermomechanical behavior; formed refractories; monolithic refractories; recycling; wear; Artificial Intelligence; AI; machine learning; ML; algorithms; neuron networks
Special Issue Information
Dear Colleagues,
Refractory materials are strategic materials taking into account the fact that they enable the production of strategic building materials, such as steel, cement, or glass. Additionally, they ensure safe human work and eco-friendliness. Extensive research into their properties, including corrosion resistance, mechanical properties or thermal behavior, is critical in the development of new types of long-life and ecologic materials as well as in enhancing the properties of existing ones. At present, Artificial Intelligence (AI) contributes to facilitating R&D and industrial processes, including the refractory industry, e.g., in predicting selected material properties or wear of refractory lining. Thus, exploring this cutting-edge technology has great potential. AI can provide solutions to numerous problems which are too complicated to be resolved by a human due to sophisticated relations and big data. This issue invites a broad group of researchers who test and assess primary and secondary refractory raw materials, design or investigate properties of both formed and monolithic refractory materials with the intention to increase their lifetime or enhance positive or neutral environmental character, including those applying AI technology.
Dr. Ilona Jastrzębska
Prof. Dr. Jacek Szczerba
Guest Editors
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Keywords
- refractory raw materials
- design of refractory materials
- corrosion
- structure
- microstructure
- thermomechanical behavior
- formed refractories
- monolithic refractories
- recycling
- wear
- Artificial Intelligence
- AI
- machine learning
- ML
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