Identification of the machining parameters of a machining process required for digital twining:
Acquisition of the data used in machining monitoring and analysis for different machining conditions
Development of an algorithm to integrate the manufacturing data and sensors’ data for constructing virtual machine tool
Development of a hybrid modeling approach (combining data-driven model & simulation) to reduce the gap between the design process and manufacturing process