Advanced Digital, Modeling and Control Applies into Various Processes
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 36911
Special Issue Editors
Interests: rolling strategies; material processing; material characterization; metallurgical engineering; nonoriented electrical steels
Special Issues, Collections and Topics in MDPI journals
Interests: fluidized bed; CFD; DEM; automation control system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Advanced digital technology refers to a process control strategy and represents studies of various technological and physical systems that are simultaneously affected by various disturbances. Digital transformation brings together leading research addressing the global challenges of transitioning to a resource-efficient, process-safe and sustainable future. By analyzing the symmetry of the flows of liquids and gases, the distribution of bulk material, mechanical damage, temperature drops and electromagnetic radiation, it is possible to study the operation of technological processes and control systems. If the task is limited to only one discipline or several disciplines in control and design, then there is a high probability that the forecast of the system's behavior will be insufficiently accurate or completely incorrect. Interdisciplinary analysis solutions can help engineers investigate the effects of symmetric or asymmetric actions individually or collectively, figuring out the most detailed solution when it is needed.
In this special issue on symmetry, we mainly discuss the application of symmetry to process modeling and control systems. For example, when modeling a process by obtaining a static or dynamic characteristics of an object using various methods of numerical modeling or using artificial intelligence or neural networks. These process modeling techniques can also be effectively applied to control system design, Big Data collection and synthesis, data processing, and problem identification. For this reason, it is necessary to take into account a large number of parameters and knowledge of the dynamics of transient processes, which will contribute to the rapid development of advanced control systems.
- Digitalization;
- Process modeling;
- Advanced process control;
- Digital twin;
- Computer-aided design;
- Visualization;
- Computational fluid dynamics;
- Discrete element method;
- Green technology;
- Carbon footprint
Prof. Dr. Rudolf Kawalla
Dr. Beloglazov Ilya
Guest Editors
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