In-process identification of milling parameters based on digital twin driven intelligent algorithm
CM Zheng, L Zhang, YH Kang, Y Zhan, Y Xu - The International Journal of …, 2022 - Springer
The potential benefits of Industry 4.0 have led to an increased interest in smart
manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a …
manufacturing. To facilitate the self-diagnosis and adaptive ability in smart milling system, a …
A real-time intelligent method to identify mechanistic cutting force coefficients in 3-axis ball-end milling process using stochastic gradient decent: the mechanistic …
The mechanistic force model is one of the most common methods used to predict cutting
forces in milling processes. In this model, the cutting forces are considered a function of …
forces in milling processes. In this model, the cutting forces are considered a function of …