TY - JOUR
T1 - Comprehensive effects of tool paths on energy consumption, machining efficiency, and surface integrity in the milling of alloy cast Iron
AU - Luan, Xiaona
AU - Zhang, Song
AU - Li, Jianfeng
AU - Li, Gang
AU - Chen, Jie
AU - Mendis, Gamini
N1 - Funding Information:
Funding information This work is supported by the Major Science and Technology Innovation Project of Shandong Province (Grant No. 2018CXGC0804), Taishan Scholars Program of Shandong Province, and the scholarship from China Scholarship Council (Grant No. 201706220215).
Publisher Copyright:
© 2018, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - Strategies to reduce energy consumption in manufacturing processes are necessary due to growing concerns about carbon emissions and environmental impacts. In this paper, the energy consumption in a machining process was studied and the effects of tool path were investigated. The optimization of the tool pathing was shown to offer significant opportunities to reduce energy consumption (by up to 50%) during the machining process. First, an improved energy consumption model was developed that included the effects of the tool path. Secondly, the proposed method was verified through machining experiments. Six milling tool paths were used to machine workpieces and the surface integrity of the machined surface was evaluated using X-ray diffraction and optical surface profiler. Finally, mathematical and experimental methods were used to analyze the trade-offs between energy consumption and relevant factors during the removal of a constant volume of material, confirming that optimization of the cutting tool path can be achieved by balancing the tradeoffs between machining time, cutting power, and surface integrity. The results indicate that the proposed tool-path energy model can accurately predict energy consumption of different tool paths. High machining efficiency (as reflected by low cutting time), excellent surface finish, and low energy consumption can be obtained using the proposed trade-off analysis.
AB - Strategies to reduce energy consumption in manufacturing processes are necessary due to growing concerns about carbon emissions and environmental impacts. In this paper, the energy consumption in a machining process was studied and the effects of tool path were investigated. The optimization of the tool pathing was shown to offer significant opportunities to reduce energy consumption (by up to 50%) during the machining process. First, an improved energy consumption model was developed that included the effects of the tool path. Secondly, the proposed method was verified through machining experiments. Six milling tool paths were used to machine workpieces and the surface integrity of the machined surface was evaluated using X-ray diffraction and optical surface profiler. Finally, mathematical and experimental methods were used to analyze the trade-offs between energy consumption and relevant factors during the removal of a constant volume of material, confirming that optimization of the cutting tool path can be achieved by balancing the tradeoffs between machining time, cutting power, and surface integrity. The results indicate that the proposed tool-path energy model can accurately predict energy consumption of different tool paths. High machining efficiency (as reflected by low cutting time), excellent surface finish, and low energy consumption can be obtained using the proposed trade-off analysis.
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U2 - 10.1007/s00170-018-2269-2
DO - 10.1007/s00170-018-2269-2
M3 - Article
AN - SCOPUS:85049063508
SN - 0268-3768
VL - 98
SP - 1847
EP - 1860
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 5-8
ER -