Document Type
Article
Version Deposited
Published Version
Publication Date
5-12-2021
Publication Title
Frontiers of Mechanical Engineering
DOI
10.1007/s11465-020-0627-x
Abstract
Mechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.
Recommended Citation
Chen, X., Li, C., Tang, Y. et al. Energy efficient cutting parameter optimization. Front. Mech. Eng. 16, 221–248 (2021). https://doi.org/10.1007/s11465-020-0627-x
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.