Accurate Prediction of CNC Machining Time for Milling Operations Using Neural Networks

The prediction of computer numerical control (CNC) machining time critically impacts productivity. Computer-aided manufacturing (CAM) software typically has machining time prediction capabilities, allowing users to know the machining time for parts during toolpath planning. However, CAM software doe...

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Bibliographic Details
Main Authors: Chen, Xiao-Xing, Lee, Wei-Chen
Format: Conference Proceeding
Language:English
Subjects:
Kinematics
Machining Time
Milling
Neural Network
Neural networks
Planning
Predictive models
Productivity
Software
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Summary:The prediction of computer numerical control (CNC) machining time critically impacts productivity. Computer-aided manufacturing (CAM) software typically has machining time prediction capabilities, allowing users to know the machining time for parts during toolpath planning. However, CAM software does not consider the kinematics of the CNC machines and the control principle of the CNC controllers. Hence, the predicted machining time is often much shorter than the actual one. To address this problem, we developed two neural network-based machining time prediction models for milling operations using MATLAB and TensorFlow. The results show that using the models proposed in this research could achieve prediction errors within 2%, while the CAM software had about 12% error.
ISSN:2769-3899
DOI:10.1109/ICPS59941.2024.10640035