IMPRESS-U Call Partner Search Tool

General Information

• Project title: Artificial intelligence implementation into the design and maintenance processes of power plant energy equipment to increase reliability, resource, and environmental friendliness.
• Type: Project looking for partner
• Organisation: National Aerospace University "Kharkiv Aviation Institute"
• Country: (UA)

Research area

• NSF calls:
  • EAGER
  • International Supplements
• Keywords:

  electric machine; artificial intelligence; 3D-modeling; stress-strain state; heat transfer and cooling

• Brief description of your expertise / expertise you are looking for:

  Scientists working in the field of implementation artificial intelligence in the design processes, resource assessment, and signal analysis of electrical and energy equipment. Scientists working in the field of computer three-dimensional modeling and calculation of stress-strain state and resource strength.

• Brief description of your project / the project you would like to join:

  The project will be devoted to the development of computer modeling methods for creating a design of generating equipment of power plants with optimal parameters through the use of artificial intelligence to increase reliability, resource and environmental friendliness. The parameters will be strength, resource strength, heat transfer parameters, mass-dimensional, electromagnetic and vibration indicators. The goal of the project research is to develop a methodology for designing elements and assemblies of turbogenerators and hydrogenerators using artificial intelligence to create designs with optimal parameters using new materials and modernization of existing designs. The novelty of the methods proposed in the Project lies in providing an assessment of fatigue durability under multiparameter loading on critical design elements of generating equipment. For the first time, an algorithm for processing and comparing data will be proposed, which will be based on multifactorial non-stationary three-dimensional calculations of the stress-strain state of design elements with characteristic defects at the stages of genesis and development based on digital twins. According to the proposed algorithm, an artificial neural network will be trained.

Dr. Oleksii Tretiak

• Organisation: National Aerospace University "Kharkiv Aviation Institute"
• Position: Head of the Department of Aerohydrodynamics
• E-mail: o.tretyak@khai.edu
• Phone: +380673267370
• Web: khai@khai.edu