An estimation methodology of energy consumption for the intelligent CNC machining using STEP-NC

With the in-depth integration of intelligent manufacturing and energy-efficient manufacturing, energy consumption should be taken as an important indicator to meet the development philosophy of low-carbon manufacturing while continuously pursuing manufacturing efficiency. The intelligent estimation of energy consumption for machined parts is the basis for establishing an energy-efficient intelligent manufacturing system. STEP-NC is one of the practical schemas to implement an intelligent manufacturing mode in the CNC machining field. Hence, this paper proposed an estimation methodology of energy consumption based on the STEP-NC program to realize the estimation of the staged and overall energy consumption for parts. Firstly, the influencing factors of energy consumption are analyzed in detail and the data model of energy consumption is extended to the STEP-NC standard accordingly. Secondly, the energy consumption estimation methodology based on the machining feature was constructed, and the mapping relationship between STEP-NC program and the estimation method was established. Finally, the energy consumption estimation framework with the STEP-NC program as input is developed while the validity of the methodology is verified by practical machining experiments. By comprehensive analysis, the methodology shows promising results in efficiency and application prospect, which lays a foundation for further intelligent energy-efficient research.