INCREASING THE ACCURACY OF MACHINING BY MEANS OF COMPLEX PROCESS MANAGEMENT THROUGH ACTIVE AND ADAPTIVE CONTROL

Authors

  • Silviya Salapateva Faculty of Mechanical Engineering, Technical University of Sofia, Plovdiv Branch, Center of competence ”Smart mechatronic, eco-and energy-saving systems and technologies”, Plovdiv, Bulgaria https://orcid.org/0009-0005-9866-6525
  • Iliya Chetrokov Faculty of Mechanical Engineering, Technical University of Sofia, Plovdiv Branch, Center of competence ”Smart mechatronic, eco-and energy-saving systems and technologies”, Plovdiv, Bulgaria

DOI:

https://doi.org/10.68302/std2026.vol2.51

Keywords:

Аctive control, adaptive control, CNC machine tools, intelligent computer control mechanical engineering

Abstract

One of the main indicators of the manufactured parts quality and the efficiency of the technological processes in mechanical engineering is machining accuracy. During the machining process, errors of various nature occur, which can lead to deviations from the specified dimensions and geometric parameters. This requires the implementation of modern approaches to controlling and managing the machining process.

Supporting Agencies

This research was funded by the European Regional Development Fund within the OP “Research, Innovation and Digitalization Programme for Intelligent Transformation 2021-2027”, Project No BG16RFPR002-1.014-0005 Center of competence “Smart Mechatronics, Eco-and Energy Saving Systems and Technologies”.

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References

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Published

17.09.2026

Issue

Vol. 2 (2026): Proceedings of the International Conference on Secure Systems Design and Technology Development.

Section

ENGINEERING SCIENCES AND PRODUCTION TECHNOLOGY

License

Copyright (c) 2026 Silviya Salapateva, Iliya Chetrokov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Salapateva and I. Chetrokov, “INCREASING THE ACCURACY OF MACHINING BY MEANS OF COMPLEX PROCESS MANAGEMENT THROUGH ACTIVE AND ADAPTIVE CONTROL”, SysTechDev, vol. 2, pp. 259–264, Sep. 2026, doi: 10.68302/std2026.vol2.51.