Jia-Hao Huang

Multi-objective process parameter optimization for GH2132 superalloy milling based on IPSO-BP neural network

Tool wear significantly affects cutting performance and workpiece quality, while also leading to increased machining process complexity and diminishing tool longevity. Consequently, identifying the appropriate process parameters to guarantee high efficiency and quality in material processing has emerged as a signific...