Advances in Industrial Mechanics and Design: Symmetries, Recent Trends and Frontiers

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 4377

Special Issue Editors


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Guest Editor
Faculty of Mechanical Engineering, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: industrial mechanics; mechatronics; mechanical engineering design

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Guest Editor
Faculty of Science and Technology, The University of the West Indies, St. Augustine 330110, Trinidad and Tobago
Interests: user experience design; ergonomics/human factors engineering; personalizing user experience; computational intelligence

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Guest Editor
Department of Engineering Design, Technical University of Sofia, 1000 Sofia, Bulgaria
Interests: engineering design; emotional design; neural network models
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Special Issue Information

Dear Colleagues,

Industrial mechanics and design are two fields of study with widespread applications in science and technology. Their new developments and frontiers have attracted the attention of a considerable audience of professionals such as engineers, designers, applied researches and practitioners. In addition, considering symmetry-based concepts and phenomena contributes to the future development of the fields. In spite of the tremendous number of published results in the literature, there remain many open problems that need more investigation.

In this Special Issue, we provide an international forum for researchers to contribute with original research as well as review papers focusing on the latest achievements and frontiers in Industrial Mechanics and Design.

Prof. Dr. Lubomir Dimitrov
Dr. Alexander Nikov
Dr. Trayan Stamov
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mechanical systems
  • computational intelligence in industrial design
  • user experience design
  • emotional design
  • ergonomic design
  • symmetries in industrial design
  • symmetries in mechanical systems
  • design psychology
  • experimental design
  • future of work at the human-technology frontier
  • applications to real phenomena

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Published Papers (2 papers)

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Research

22 pages, 9895 KiB  
Article
Using the Fractional Differential Equation for the Control of Objects with Delay
by Vadim Zhmud and Lubomir Dimitrov
Symmetry 2022, 14(4), 635; https://doi.org/10.3390/sym14040635 - 22 Mar 2022
Cited by 4 | Viewed by 1645
Abstract
This paper proposes a new structure and substantiates the choice of a technique for controller design using fractional integration and fractional differentiation. The method of fractional integration is based on extrapolation using a series of integrating and differentiating links, the time constant of [...] Read more.
This paper proposes a new structure and substantiates the choice of a technique for controller design using fractional integration and fractional differentiation. The method of fractional integration is based on extrapolation using a series of integrating and differentiating links, the time constant of which changes symmetrically from one step to another. The new controller structure does not contain the three traditional links (proportional, integrating, and differentiating) but contains six links, three of which are incomplete integration, incomplete differentiation, and redundant (for example, one and a half) integration. The proposed technique consists of modeling a controller with the indicated six paths and using the numerical optimization method to calculate the coefficients of each such path. Alternative controllers are known PID controllers and PIλDµ controllers. Both of these species contain only three tracts. The proposed structure has never been used before, and publications with examples of calculation of such structures were not found in the literature. The effectiveness of the proposed method is confirmed by modeling and examples. Full article
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17 pages, 370 KiB  
Article
Discrete Bidirectional Associative Memory Neural Networks of the Cohen–Grossberg Type for Engineering Design Symmetry Related Problems: Practical Stability of Sets Analysis
by Trayan Stamov
Symmetry 2022, 14(2), 216; https://doi.org/10.3390/sym14020216 - 23 Jan 2022
Cited by 7 | Viewed by 3647
Abstract
In recent years, artificial intelligence techniques have become fundamental parts of various engineering research activities and practical realizations. The advantages of the neural networks, as one of the main artificial intelligence methods, make them very appropriate for different engineering design problems. However, the [...] Read more.
In recent years, artificial intelligence techniques have become fundamental parts of various engineering research activities and practical realizations. The advantages of the neural networks, as one of the main artificial intelligence methods, make them very appropriate for different engineering design problems. However, the qualitative properties of the neural networks’ states are extremely important for their design and practical performance. In addition, the variety of neural network models requires the formulation of appropriate qualitative criteria. This paper studies a class of discrete Bidirectional Associative Memory (BAM) neural networks of the Cohen–Grossberg type that can be applied in engineering design. Due to the nature of the proposed models, they are very suitable for symmetry-related problems. The notion of the practical stability of the states with respect to sets is introduced. The practical stability analysis is conducted by the method of the Lyapunov functions. Examples are presented to verify the proposed criteria and demonstrate the efficiency of the results. Since engineering design is a constrained processes, the obtained stability of the sets’ results can be applied to numerous engineering design tasks of diverse interest. Full article
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