Sustainability, Volume 10, Issue 3 (March 2018) – 323 articles
Cover Story (view full-size image): Manufacturing industries face the critical challenges to accommodate sustainability issues. To achieve energy-efficient manufacturing, power consumption becomes an important metric in the energy analysis since it significantly influences energy consumption of machines. Hence, power prediction is growing as an essential issue to reduce uncertainties through anticipating power values consumed by the execution of a numerical program in a machine. The present work proposes a predictive modeling approach based on historical data collected from turning machine’s operations. The proposed approach can create multiple predictive models for power consumption, which are applicable to diverse machining configurations. It can create fine-grained models predictable up to the level of a numerical control program. View the paper
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