Review shows software enhances milling efficiency in precision machining, suggesting industrial applications need focus on real-time data handling.
In the context of the continuous development of the global manufacturing industry, milling has become a key means to meet the needs of precision or ultra-precision machining, and intelligent milling technology has gradually become the core of high-quality and efficient processing. This paper systematically reviews the relevant technologies, application scenarios, and future challenges of the intelligent application of milling software, and shows that the interactive integration of an intelligent milling system and hardware can effectively improve the machining accuracy and efficiency. However, in actual production, there are still data barriers and real-time computing bottlenecks that restrict large-scale and group application production. The future for intelligent milling needs to focus on multi-sensor fusion (cross-device knowledge transfer) to promote the transition of intelligent milling from 'simple intelligence' to 'industrial intelligence'. This paper provides the theoretical framework and technical route guidance for the intelligent transformation of milling manufacturing.
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Shaohong Fang (2025) studied this question.
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