Algorithm for calculating conditions for axial cutting tools

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Optimizing cutting conditions enhances productivity and reduces costs in mechanical engineering, particularly in automated systems.
A generalized algorithm considers material properties and processing requirements to determine optimal cutting parameters, ensuring consistency.
Implementation of this algorithm supports data continuity and efficiency in design, production, and after-sales service under CALS technologies.
Integration of artificial intelligence in CNC tools is crucial for improving machining accuracy and cost-effectiveness, helping to sustain industry competitiveness.

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Algorithm improves cutting conditions in mechanical engineering, highlighting integration of CNC and CALS technologies.

Vasylenko et al. (2025) studied this question.

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