The basics of development of digital twins in Mechanical Engineering

Description: The discipline forms a general understanding of engineering and engineering education. The object and subject of engineering are being studied. Comprehension and understanding of the basic methods and techniques of augmented reality and their application at different stages of the development and management decision-making process

Amount of credits: 6

Course Workload:

Component: Component by selection

Cycle: Profiling disciplines

Goal

• During the study of the discipline, students get acquainted with the structure and stages of the educational process, types and forms of classes, practices, organization of intermediate and final control. Forms professional competencies in the field of virtualization and cloud technologies, development and operation of applied decision support systems and digital twins

Objective

• Formation of students' knowledge for end-to-end professional activities in industry in the fields of digital twins, automation, robotization and mechanization of production for various purposes using microprocessor technology, modern PLM, CAD/self-systems, IT technologies, programming of modern logic controllers based on artificial intelligence methods, neural network management and information processing, as well as skills and application skills the knowledge gained in practice

Learning outcome: knowledge and understanding

• The student receives knowledge about the construction of smart models and digital counterparts of technical, industrial, cyberphysical, anthropogenic, social and natural systems.

Learning outcome: applying knowledge and understanding

• The student uses knowledge in the development of the project, taking into account the analysis of alternative options for its implementation
• Uses methods for developing and justifying an action plan to solve a problematic situation

Learning outcome: formation of judgments

• Formation of basic knowledge for analyzing situations in the engineering sector and optimizing a new industrial product

Learning outcome: communicative abilities

• The ability to communicate effectively, avoid misunderstandings and conflicts, find solutions to difficult issues faster and work more productively

Learning outcome: learning skills or learning abilities

• Communication skills, leadership qualities, the ability to learn, motivation to study, the ability to think creatively and outside the box

Teaching methods

Dual education - the connection between theoretical training and practical skills in production

Topics of lectures

• Topic 1
• Topic 2
• Topic 3
• Topic 4
• Topic 5
• Topic 6
• Topic 7
• Topic 8
• Topic 9

Key reading

• U.S. Manufacturing—Global Leadership Through Modeling and Simulation. – URL: http://www. compete.org/storage/images/uploads/File/PDF%20Files/HPC%20Global%20Leadership%20 030509.pdf (дата обращения: 08.10.2017)
• Samarasinghe, S. Neural Networks for Applied Sciences and Engineering / S. Samarasinghe. – Boca Raton, FL: Auerbach Publications, 2006. – 570 p.