This article investigates the optimization of the holes milling process using helical interpolation. The aim of this research is to determine the optimal cutting modes that come up to the limitation system and ensure maximum processing performance at minimum cost. To achieve this aim, logarithmic methods and graphical methods were used to analyze acceptable solutions based on roughness parameters. The experiments have shown that the best processing parameters are the 0.2 mm helix pitch and feed range of 0.115 mm/tooth. These parameters ensure low processing costs and high surface quality with a roughness of Rz = 5.000 μm. Additionally, it was found that these processing parameters can significantly reduce tool wear and the cost of replacing it. The experimental studies carried out were based on the recommendations of tool manufacturers and equipment. This guarantees the accuracy and reliability of the results obtained. The developed algorithms for technological decision-making allow efficient use of the equipment, increasing productivity and competitiveness of the enterprise. The presented methods can be useful for improving technological processes in industry, allowing enterprises to achieve high quality indicators while reducing expenses. The study confirms the possibility of successful application of helical interpolation in automated production, which is especially important for machining parts made of alloyed corrosion-resistant steel. The conclusions and recommendations of this study provide valuable guidance for improving the efficiency and economic profitability of production processes.

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Optimization of Hole Milling for Increasing Productivity in Automated Manufacturing

  • M. R. Gimadeev,
  • V. A. Stelmakov,
  • D. D. Yakuba,
  • M. V. Uliskov

摘要

This article investigates the optimization of the holes milling process using helical interpolation. The aim of this research is to determine the optimal cutting modes that come up to the limitation system and ensure maximum processing performance at minimum cost. To achieve this aim, logarithmic methods and graphical methods were used to analyze acceptable solutions based on roughness parameters. The experiments have shown that the best processing parameters are the 0.2 mm helix pitch and feed range of 0.115 mm/tooth. These parameters ensure low processing costs and high surface quality with a roughness of Rz = 5.000 μm. Additionally, it was found that these processing parameters can significantly reduce tool wear and the cost of replacing it. The experimental studies carried out were based on the recommendations of tool manufacturers and equipment. This guarantees the accuracy and reliability of the results obtained. The developed algorithms for technological decision-making allow efficient use of the equipment, increasing productivity and competitiveness of the enterprise. The presented methods can be useful for improving technological processes in industry, allowing enterprises to achieve high quality indicators while reducing expenses. The study confirms the possibility of successful application of helical interpolation in automated production, which is especially important for machining parts made of alloyed corrosion-resistant steel. The conclusions and recommendations of this study provide valuable guidance for improving the efficiency and economic profitability of production processes.