For contacts

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Published: Tuesday, 28 December 2021 22:58

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Prof. Stoyan Dimitrov Slavov, PhD (WoS, Scopus, R^G, Google Scholar),

Research Project Coordinator

Phone: +359 52 383 690,

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Room: 703 MTF,

Department of Manufacturing Technologies and Machine Tools,

Faculty of Manufacturing Engineering and Technologies of Technical university of Varna,

Adress: Bulgaria, Varna, 9010, 1 Studentska str.

About the project

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Published: Tuesday, 28 December 2021 21:34

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    Main objective of the current project is the research of models and algorithms for formation and control of the topographic characteristics of new specific relief textures on different types of functional surfaces.

    Theoretical and experimental research will be carried out, in order to :

       1) Applicability assessment of the traditional models in order to create new tool paths which are to be adapted to form new RR types on different types of contact surfaces, by using ball burnishing (BB) method;

       2) Applicability assessment of the machine learning methods to recognize images of RR obtained by BB and to determine their topographic characteristics;

       3) Developing a generalized methodology for creating new model tool path trajectories for forming RMR by using BB. Control of the characteristics of their topography depending on the type of contact surface.

      4) Approbation of the generalized methodology for different types of functional surfaces and identification of the significantly influencing BB process regime parameters on the obtained topographic characteristics of the RR.

     The project results are expected to contribute with the creation of models and algorithms for more efficient CNC machine management in the implementation of technological finishing processes and surface treatment. They can be used as a basis for further development of new and innovative finishing processes solutions which can increase the efficiency and quality of production in the machine building industry. The expected results regarding the created methodology and algorithms for recognizing the RMR topography parameters after the process of BB and based on digital images will contribute to obtaining new knowledge concerning the implementation of the modern machine learning approaches aiming at the automated recognition of contact surface texture specific elements

    The project and all related activities will contribute to the scientific improvement of the participants and will influence the increase of their competence and their scientific and academic growth, as well as will be a prerequisite for increasing the scientific capacity of the base organization – Technical university of Varna.

   A broadly interdisciplinary team has been formed for the project, which uses the knowledge, skills and experience of experts from four different departments of the basic organization: “Manufacturing Engineering and Machine Tools", "Mechanics and Machine Elements", " Communication Engineering and Technology", and “Industrial Management ”, supported by the participation of internationally recognized specialists from department "Information Technologies" of Naval academy "N. Y. Vaptsarov ”, Varna and from Ternopil Ivan Puluj National Technical University, Ukraine.

Project activities

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Published: Tuesday, 28 December 2021 22:39

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The activities of in the project are structured in four work packages (WP), which are as follows:

Stage1 - duration: 16 November 2021 - 16 May 2023 (Finished)

• WP 1: А research on the applicability of the traditional models in order to create new toolpaths which are to be adapted for the formation of new types of regular reliefs on various contact surfaces;

 Publications related to WP1:

1. Avramova T., Slavov St., Vasileva D., Research on the internal cylindrical surfaces roughness heights processed by a tool with combined effect, Acta Technica Napocensis, eISSN 1221-5872, 2023 (Indexed in WoS – Q4), URL: https://atna-mam.utcluj.ro/index.php/Acta/article/view/2021;
2. Dzyura V., Maruschak P., Slavov S. and Dimitrov D., Applying regular relief onto conical surfaces of Continuously variable transmission to enhance its wear resistance, Transport, Vilnius, 2023, eISSN 1648-3480 (JIF 2023: 1.3 – quartile: Q3; SJR 2024: 0.456 – quartile: Q2), DOI: https://doi.org/10.3846/transport.2023.20628;
3. Slavov S., Dimitrov D., Konsulova-Bakalova M., Van L.S.B., Research of the ball burnishing impact over cold rolled sheets of 304 steel fatigue life by using Bayesian rule considering their anisotropy, MDPI, Materials, ISSN: 1996-1944, 2023, (SJR (2022): 0.563-quartile: Q2; WoS JIF (2022): 3.4 - quartile: Q2), DOI: https://doi.org/10.3390/ma16103684 ;
4. Dzyura V., Maruschak P., Slavov S., Dimitrov D. , Semehen V., Markov O., Evaluating Some Functional Properties of Surfaces with Partially Regular Microreliefs Formed by Ball-Burnishing, MDPI, Machines, ISSN: 2075-1702, 2023, (SJR (2022): 0.764 - quartile: Q2 ; WoS JIF (2022): 2.6, - quartile: Q2). URL: https://doi.org/10.3390/machines11060633;
5. Slavov S. D. , “Forming regular reliefs using CNC-machines. A Monograph”, 2023, Color - Print, Varna“, ISBN 978-954-760-564-0, 219 pp. (in Bulgarian), URL: https://plus.cobiss.net/cobiss/bg/bg/bib/58425352#full

• WP 2: Investigation on the applicability of machine learning methods to obtain and recognize regular reliefs images, formed by ball burnishing process and defining their topographic characteristics;

   Publications related to WP2:

1. Slavov S., Van L.S.B, Dimitrov D., Nikolov B., An approach for 3D modeling of the regular relief surface to-pography formed by a ball burnishing process using 2D images and measured profilograms, MDPI, Sensors, ISSN: 1424-8220, 2023, (SJR (2022): 0.449 - quartile: Q1; WoS JIF (2022): 3.9 - quartile: Q1), DOI: https://doi.org/10.3390/s23135801;
2. A. Lazarov and C. Minchev, "A New 3-D Stepped Frequency SAR Signal Modeling and Imaging of Moving and Stationary Targets," 2023 24th International Radar Symposium (IRS), Berlin, Germany, 2023, pp. 1-10, doi: https://doi.org/10.23919/IRS57608.2023.10172448;
3. Slavov S. D. , “Forming regular reliefs using CNC-machines. A Monograph”, 2023, "Color - Print", Varna, ISBN 978-954-760-564-0, 219 pp. (in Bulgarian), URL: https://plus.cobiss.net/cobiss/bg/bg/bib/58425352#full 

Stage2 - duration: 20 November 2023 - 20 May 2025 (Finished)

• WP 3. Building a general methodology for creating new model toolpaths to form regular reliefs through ball burnishing process and to control their topographic characteristics in relation to the contact surface type;

  Publications related to WP3:

         1. Stoyan Dimitrov Slavov, Lyubomir Si Bao Van, Marek Vozár, Peter Gogola, and Diyan Minkov Dimitrov, „Research on AI-Driven Classification Possibilities of Ball-Burnished Regular Relief Patterns Using Mixed Symmetrical 2D Image Datasets Derived from 3D-Scanned Topography and Photo Camera“, Journal Symmetry, 17(7): 1131, eISSN 2073-8994, 2025 (SJR 2024 - 0.467; quartile: Q2; JIF: 2.2. quartile: Q2), DOI: https://doi.org/10.3390/sym17071131;

       2. Stoyan Slavov, Georgi Valchev, Oleksandr Markov, Experimental Research of the Actual Speed Reached when Processing Regular Reliefs Using an Advanced Deforming Tool for Ball Burnishing, Acta Technica Napocensis, Vol. 67, Issue Special IV, pp.1649 - 1659, eISSN 1221-5872, 2024 (JIF: 0.2; quartil: Q4 – WoS), URL: https://atna-mam.utcluj.ro/index.php/Acta/article/view/2680;

       3. Slavov, Stoyan Dimitrov, and Georgi Venelinov Valchev. 2025. "A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation" Journal of Manufacturing and Materials Processing, EISSN 2504-4494, 9, no. 6: 181, (SJR 2024 - 0.724, quartile: Q1; JIF: 3.3, quartile: Q2), DOI: https://doi.org/10.3390/jmmp9060181

• WP 4: Preparing, planning and conducting experimental research. Result analysis for the practical verification of the created models and algorithms used for the formation and control of new regular reliefs topography generated through ball burnishing process.

 Publications related to WP4:

       1. Stoyan Slavov, Lyubomir Si Bao Van, Boris Nikolov, Experimental Determination of Dependences Between Selected Image Capturing Setup Parameters and the Quality of the Regular Reliefs 3D Topographies, Acta Technica Napocensis, Vol. 67, Issue Special IV, pp.1621 - 1632, eISSN 1221-5872, 2024 (JIF: 0.2; quartil: Q4 – WoS), URL: https://atna-mam.utcluj.ro/index.php/Acta/article/view/2678;

       2. Diyan M. DIMITROV, Stoyan SLAVOV, Lyubomir Si Bao VAN, Digital modeling and AI-driven optimization of ball burnishing process parameters, Materials Research Proceedings, Vol. 46, pp 354-361, 2024, (SJR: 0.154; quartile: Q4), DOI: https://doi.org/10.21741/9781644903377-46;

      3. Stoyan Dimitrov Slavov, Diyan Minkov Dimitrov, Desislava Yordanova Mincheva, Volodymyr Dzyura, Pavlo Maruschak, and Volodymyr Semehen, Microstructure and Microhardness Research of Steel 304 After Forming Partially Regular Reliefs by Ball Burnishing Operation, Materials 18, no. 7: 1565, 2025, (SJR 2024 - 0.614, quartile: Q2; JIF: 3.1, quartile: Q2), DOI: https://doi.org/10.3390/ma18071565;

Additional publications during the Stage 2 of the project:

       1. A. Lazarov and D. Minchev, "L1 Norm Minimization in ISAR Imaging", 2024 23rd International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, ISBN 979-8-3503-8236-5, Bulgaria, 2024, pp. 1-5, doi: https://doi.org/10.1109/SIELA61056.2024.10637846;

       2. A. Lazarov and S. Kamdzhalov, "Conceptual Model of a Communication System Composed with Interoperable Radio Devices", 2024 23rd International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, ISBN 979-8-3503-8236-5, Bulgaria, 2024, pp. 1-5, doi: https://doi.org/10.1109/SIELA61056.2024.10637829;

      3. A. Lazarov and T. Kostadinov, "Bi-Static Inverse Synthetic Aperture Radar Imaging Based on 5G NR Signal", 2024 23rd International Symposium on Electrical Apparatus and Technologies (SIELA), Bourgas, ISBN 979-8-3503-8236-5, Bulgaria, 2024, pp. 1-5, doi: https://doi.org/10.1109/SIELA61056.2024.10637831.

Scientific project: Theoretical and experimental research of models and algorithms for formation and control of specific relief textures on different types of functional surfaces

Details

Published: Monday, 27 December 2021 16:39

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• Thematic areas: 5.1. Mechanical Engineering and 5.3. Communication and computer equipment 
• Project manager: Prof. Stoyan Slavov, Ph.D.
• Funding institution: Bulgarian National Science Fund, Competition for financial support of basic research projects – 2021
• Contract number: KP - 06 - H57 / 6
• Budget: BGN 119, 902
• Term of the contract: 36 months
• Start of the project: 16.11.2021
• End of the project: 20.05.2025

         The project is mainly focused on research of models and algorithms for formation and control of the topographic characteristics of new specific relief textures on different types of functional surfaces. It is based on the following main hypotheses:

• Hypothesis 1. In addition to the five types of so called "regular (micro-) reliefs" (RMR), obtained by the classical process of vibratory ball burnishing which the trajectories of the deforming element are close to the sinusoidal shape, it is possible that there are other suitable trajectories to form regular reliefs (RR) with different cell shape applying the ball burnishing process (without forced vibrations) using contemporary CNC machines. The ability to simultaneously interpolate two to five axes, embedded in modern CNC machines, can ensure the deforming tool to follow more complex spatial trajectories and thus to achieve new, in terms of shape and manner of arrangement, regular reliefs on both simple (rotary or planar) and complex (non-planar) surfaces.

• Hypothesis 2. To evaluate the RR topography characteristics, provided the larger size of the cells and their regular distribution on the treated surface, there is a possibility concerning the application of modern non-contact methods for obtaining digital images as well as methods for their subsequent processing. Thus, it is possible to create methodologies for generating two- and three-dimensional models of RR topography.

• Hypothesis 3. There is a possibility for creating a unified complex algorithm for generating various deforming element trajectories of movement for various RRs and shapes of the processed surface. There is a possibility for applying the Planned Experiments Theory for obtaining mathematical models, through which the interrelation between the model variables and the obtained RR's topography parameters to be studied.