Energy Consumption Prediction of CNC Milling based on Random Forest
DOI:
https://doi.org/10.6919/ICJE.202504_11(4).0017Keywords:
Random Forest; Energy Consumption; CNC Milling; Prediction.Abstract
Mechanical processing systems are mainly based on machine tools. In industries such as production and manufacturing, the use of machine tools is huge. Therefore, reducing machine tool energy consumption and improving energy efficiency are of great significance. Accurately calculating the energy consumption during the processing is the primary task. In order to accurately predict the energy consumption of CNC milling, this paper establishes a power model and a time model for CNC milling. The power and time data obtained from the experiment in this article are labeled data. Since the features are both continuous variables, this article uses random forests to regress and predict the energy consumption of CNC milling.
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