Optimization of the main cutting force in the machining of polytetrafluoroethylene (PTFE)

This paper presents the application of a three-factor linear model for the analysis and optimization of the main cutting resistance during the machining of PTFE (Polytetrafluoroethylene) material, with nominal dimensions of ∅50 × 500 mm. PTFE is known for its unique mechanical and thermal properties, which pose challenges in machining processes. Key machining parameters—specifically cutting depth, spindle speed, and cutting speed—were initially identified and then collectively examined as machining parameters through regression analysis to determine their interactions and impact on cutting resistance. The aim of this research was to optimize these machining parameters through mathematical modeling to reduce cutting resistance, extend tool life, and enhance productivity. The results demonstrated that proper optimization of the machining parameters can significantly reduce tool wear, lower costs, and improve machining efficiency.