STRUCTURAL ANALYSIS OF THE AUTONOMOUS CONTROL SYSTEM OF CNC MACHINES
In modern industrial and manufacturing processes, precision, speed, and quality hold critical importance. Technological advancements have paved the way for the implementation of various innovative solutions to meet these demands. In this context, Computer Numerical Control (CNC) systems have become the foundation of flexible, automated, and high-efficiency machining operations in contemporary production environments. Unlike traditional manually operated machines, CNC technology enables the precise control of tool movement based on pre-written programs. This significantly minimizes the influence of human error, enhances operational stability, and reduces the likelihood of mistakes during production. The integration of automatic control systems into CNC machines facilitates the optimization of the production cycle, improvement of product quality, and more efficient use of labor resources. Through software and microcontroller-based control modules, various critical processes-such as the positioning of machine axes, tool changes, adjustment of machining parameters, and others-can be carried out without human intervention. Moreover, by incorporating sensors and feedback mechanisms, it becomes possible to monitor operations in real-time and ensure process reliability. Today, CNC machines are not only utilized in metal and wood processing but are also widely applied in aerospace, automotive manufacturing, medical equipment production, electronics, and even the jewelry industry. To meet rapidly changing market demands, these automatically controlled systems have become essential tools for achieving high productivity and operational consistency.This paper explores the technological principles of automatic control in CNC machines, the architecture of control systems, programming methods, and the overall role and advantages of automation in modern manufacturing.
Institutions
- Azerbaijan Technical University (AZ)
- Sumgayit State University (AZ)
- Baku Engineering University (AZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-15
- DOI
- https://doi.org/10.5281/zenodo.16446737
- Primary Topic
- Engineering Technology and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00