MATHEMATICAL MODELING AND SOLUTION ALGORITHMS OF GEOMETRIC PROBLEMS IN NUMERICALLY CONTROLLED MACHINES

MATHEMATICAL MODELING AND SOLUTION ALGORITHMS OF GEOMETRIC PROBLEMS IN NUMERICALLY CONTROLLED MACHINES

Authors

  • Khasanov Bobirmirzo Makhmudali ugli
  • Yusupov Sardorbek Ma’rufovich
  • Abdullajonov Asadbek Sherzodbek ugli

DOI:

https://doi.org/10.5281/zenodo.18583934

Keywords:

interpolation, numerical control, technological equipment, machining quality, technological process, geometric problem.

Abstract

At present, strengthening the practical orientation of education in the training of specialists is one of the most
relevant scientific and practical challenges. This issue can be effectively addressed by systematically motivating the
educational process and integrating theoretical knowledge with practical application. The main objective of this study is to
scientifically demonstrate the practical application of knowledge acquired in mathematics and automation of technological
processes.
The article provides a detailed analysis of solving geometric problems on computer numerical control (CNC) machine
tools. Within the framework of the study, an interpolation algorithm ensuring the movement of machine working elements
is implemented, and the principles of its operation as well as methods for organizing motion along a specified trajectory
are examined. The scientific novelty of the research lies in substantiating the possibility of high-precision machining based
on accurate determination of cutting tool motion geometry and correct formulation of the geometric problem.
The practical significance of the work is determined by the development of a real CNC machining control program using
interpolation algorithms within the part coordinate system. The study employs general scientific and specialized research
methods, including observation, comparison, analysis, and synthesis. The obtained results demonstrate that the proposed
approach enhances productivity, improves machining accuracy, and reduces time consumption.

Author Biographies

Khasanov Bobirmirzo Makhmudali ugli

Andijan state technical institute,
Head of the Department of Mechanical Engineering Technology (PhD)

Yusupov Sardorbek Ma’rufovich

Andijan state technical institute,
Associate Professor of the Department of Mechanical Engineering Technology (PhD)

Abdullajonov Asadbek Sherzodbek ugli

Andijan state technical institute,
Master’s Student of the Department of Mechanical Engineering Technology

References

Groover, M.P. Automation, Production Systems, and Computer-Integrated Manufacturing. – Pearson Education, 2020.

Altintas, Y. Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design. –

Cambridge University Press, 2019.

Kalpakjian, S., Schmid, S. Manufacturing Engineering and Technology. – Pearson, 2018.

Rao, P.N. CAD/CAM: Principles and Applications. – McGraw-Hill Education, 2017.

Xu, X., Newman, S.T. Making CNC machine tools more open, interoperable and intelligent. – International Journal of

Advanced Manufacturing Technology, 2020.

Chiang, K.T. Tool-path generation and interpolation techniques for CNC machining. – Journal of Materials Processing

Technology, 2019.

Yeh, S.S., Hsu, P.L. Spline interpolation for high-speed machining. – Computer-Aided Design, 2018.

Youssef, H.A., El-Hofy, H. Machining Technology: Machine Tools and Operations. – CRC Press, 2021.

Farouki, R.T. The mathematical foundations of CNC machining. – Computer Aided Geometric Design, 2016.

Zhu, L., Zhang, Y. Geometric modeling and error analysis in multi-axis CNC machining. – Precision Engineering, 2020.

Denkena, B., Breidenstein, B. Geometric accuracy analysis of five-axis machine tools. – CIRP Annals, 2019.

Liu, H., Wang, J. Coordinate transformation modeling in CNC systems. – International Journal of Machine Tools and

Manufacture, 2018.

Huang, Y., Yang, J. Trajectory optimization algorithms for CNC machining. – Robotics and Computer-Integrated

Manufacturing, 2021.

ISO 6983-1. Numerical control of machines – Program format and definitions of address words.

Qin, Y., Luo, X. Digital twin-driven geometric accuracy control for CNC machine tools. – Journal of Manufacturing

Systems, 2022.

Downloads

Published

2026-02-01

How to Cite

Khasanov , B., Yusupov , S., & Abdullajonov , A. (2026). MATHEMATICAL MODELING AND SOLUTION ALGORITHMS OF GEOMETRIC PROBLEMS IN NUMERICALLY CONTROLLED MACHINES. Innovation Science and Technology, 2(2). https://doi.org/10.5281/zenodo.18583934
Loading...