This article investigates the optimization of cutting conditions in the mechanical machining of metals on milling machines. The study focuses on improving machining efficiency, enhancing surface quality, and extending tool life by selecting optimal process parameters. The main objective of the research is to analyze the influence of key milling parameters, including cutting speed, feed rate, and depth of cut, on the performance of the machining process. The research methodology is based on analytical evaluation and comparative analysis of different cutting regimes. The relationships between cutting parameters and machining outcomes such as productivity, tool wear, and surface finish are systematically examined. Special attention is given to identifying parameter combinations that ensure stable cutting conditions and minimize energy consumption. The results show that the proper selection and optimization of cutting parameters significantly improve machining efficiency and reduce tool wear. It is found that increasing cutting speed within optimal limits enhances productivity, while appropriate feed rate and depth of cut contribute to better surface quality and longer tool life. In conclusion, the proposed approach to optimizing cutting conditions provides a practical framework for improving milling performance in industrial applications. The findings of this study can be effectively applied in manufacturing processes to achieve higher productivity, reduced costs, and improved product quality.
Shukurjon et al. (Tue,) studied this question.
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