Affiliation:
1. University of Wisconsin Milwaukee, Milwaukee, WI
Abstract
Prediction and estimation of energy consumption of machining process are important for the optimization of the machining process and the environmental impact of manufacturing. Two energy consumption models are proposed in this paper. A novel numerical model is presented to roughly estimate the specific energy consumption (SEC) of a machining process based on the nameplate spindle power of the machine and the material removal rate (MRR). This model is validated and analyzed by experimental data from a variety of sources. The application range of the proposed model has been investigated. Another accurate SEC model, which is based on a specific machine and machine tool, is established for accurate energy consumption prediction. The accurate model is tested to have a confidence range of 97%.
Publisher
American Society of Mechanical Engineers
Cited by
3 articles.
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1. Economic Production Quantity Model with Energy Consideration;2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2022-12-07
2. Industrial Sustainability: Reviewing the Past and Envisioning the Future;Journal of Manufacturing Science and Engineering;2020-09-03
3. A General Empirical Energy Consumption Model for Computer Numerical Control Milling Machine;Journal of Manufacturing Science and Engineering;2019-01-04