TY - GEN
T1 - An Investigation on Inherent Energy Efficiency Surface for Energy Labelling of Machine Tools
AU - Liu, Peiji
AU - Wang, Xu
AU - Liu, Chao
AU - Zhu, Qian
AU - Shi, Yameng
AU - Zheng, Pai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - Improving the energy efficiency of machine tools proves to be an important step towards sustainable manufacturing due to their enormous quantity and substantial amounts of energy consumption. How to quantify the energy efficiency of machine tools to support energy-efficient design and energy labeling is a critical issue. Based on the finding that all possible energy efficiency values of a machine tool are distributed within an Inherent Energy Efficiency Surface (IEES) of the machine tool itself, this paper investigates the characteristics of IEES and proposes an IEES-based method for energy labeling. To decouple the IEES from the workpiece machined, cutting tools and operation conditions, standardized domain cells for the description of IEES surface domain are developed according to the series of preferred numbers. The surface peak and surface mean are selected to respectively characterize the maximum and mean energy efficiency of machine tool when machining all possible tasks. Case studies and comparison analysis has showed that the proposed method has better performance in the standardization for energy labeling.
AB - Improving the energy efficiency of machine tools proves to be an important step towards sustainable manufacturing due to their enormous quantity and substantial amounts of energy consumption. How to quantify the energy efficiency of machine tools to support energy-efficient design and energy labeling is a critical issue. Based on the finding that all possible energy efficiency values of a machine tool are distributed within an Inherent Energy Efficiency Surface (IEES) of the machine tool itself, this paper investigates the characteristics of IEES and proposes an IEES-based method for energy labeling. To decouple the IEES from the workpiece machined, cutting tools and operation conditions, standardized domain cells for the description of IEES surface domain are developed according to the series of preferred numbers. The surface peak and surface mean are selected to respectively characterize the maximum and mean energy efficiency of machine tool when machining all possible tasks. Case studies and comparison analysis has showed that the proposed method has better performance in the standardization for energy labeling.
UR - http://www.scopus.com/inward/record.url?scp=85174394613&partnerID=8YFLogxK
U2 - 10.1109/CASE56687.2023.10260611
DO - 10.1109/CASE56687.2023.10260611
M3 - Conference article published in proceeding or book
AN - SCOPUS:85174394613
T3 - IEEE International Conference on Automation Science and Engineering
BT - 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
PB - IEEE Computer Society
T2 - 19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Y2 - 26 August 2023 through 30 August 2023
ER -