Abstract
Cutting parameter optimisation is an effective way to realise energy-efficient machining. In previous studies, the cutting parameters of machining features of turning, milling, grinding, drilling, hobbing, and threading were optimised to decrease energy consumed by machine tools, and considerable energy savings were achieved. However, the energy consumption (EC) for each feature was separately optimised without systematic consideration of the negative effects on the EC for other features. The total EC for all features together probably increases. Hence, the trade-off amongst the reductions of EC for each feature needs to be jointly optimised. In our study, the external turning and drilling features are selected as examples to be combined. As a key novel contribution, we propose the integrated dimensional and cutting parameter optimisation problem about minimising the EC of Machine Tools for the combination of Turning and Drilling features (EMT-TD). In terms of optimisation, differential evolution (DE) is adopted to minimise the EMT-TD. According to case studies, DE obtained the optimal solutions within a computation time of 1 second. The optimal solutions achieved savings of 5.41%, 10.85%, and 7.19% of EMT-TD and savings of 2.23%, 5.90%, and 2.73% of machining time for three typical cases, respectively.
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Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- CEC:
-
Cutting energy consumption
- CNC:
-
Computer numerical control
- DE:
-
Differential evolution
- DEC:
-
Drilling energy consumption
- EC:
-
Energy consumption
- EMT-TD:
-
Energy consumption of machine tools for the combination of turning and drilling features
- EnuM:
-
Enumeration method
- LUB:
-
Lower and upper bounds
- NCEC:
-
Non-cutting energy consumption
- rpm:
-
Revolutions per minute
- SRCE:
-
Energy consumed for spindle rotation change
- SRS:
-
Spindle rotation speed
- SRSs:
-
Spindle rotation speeds
- TEC:
-
Turning energy consumption
- TPE:
-
Energy consumed for tool path
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Funding
This work was supported by the National Natural Science Foundation of China (Grant Nos. 51805479, 51905109, and 71971130).
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L.H.: conceptualization, investigation, methodology, software, and writing—original draft. P.Z.: resources, supervision, and writing—review and editing. P.L.: data curation, validation, and visualisation. S.J.: resources and project administration. W.C.: methodology and writing—review and editing. K.X.: conceptualisation, formal analysis, and funding acquisition.
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Hu, L., Zheng, P., Liu, P. et al. Energy optimisation for the combination of turning and drilling features using differential evolution. Environ Sci Pollut Res (2023). https://doi.org/10.1007/s11356-023-30671-w
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DOI: https://doi.org/10.1007/s11356-023-30671-w