Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)
Published: Jan. 1, 2025
Abstract Cutting tools are the teeth of industry, and cutting performance manufacturing quality directly related to dimensional accuracy, surface smoothness machining efficiency workpiece. In this study, evolution optimization ability basic genetic algorithm is improved by using penalty function tournament selection method, etc., best plan for optimal design variable helix angle end mill structure analyzed combining objective constraints structural mill. An effective meta-analysis model has also been established perform simulation analysis structure. It found that scheme proposed in paper reduces standard deviation values milling force spectral distribution cutter Al7075-T6 material TC4 17.21% 19.09%. was tool life optimized increased 25.82%-44.56% compared original life, which achieved good application results. The method an important role play improving precision industrial product manufacturing, efficiency.
Language: Английский