A novel surface residual stress monitoring method based on the power consumption of machine tool: A case study in 5-axis machining
A novel surface residual stress monitoring method based on the power consumption of machine tool: A case study in 5-axis machining
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DOI:
10.1016/j.jmapro.2022.12.057
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发表时间:
2023-01
影响因子:
6.2
通讯作者:
Zehua Wang;Sibao Wang;Shilong Wang;N. Liu;Zengya Zhao;Yankai Wang
中科院分区:
文献类型:
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作者:
Zehua Wang;Sibao Wang;Shilong Wang;N. Liu;Zengya Zhao;Yankai Wang
The machining-induced residual stress significantly influences the service performance of machined parts and should be well monitored. However, the direct measurement method is time-consuming and only can be conducted after machining. Meanwhile, the existing prediction method rarely considers the effects of real-time factors on the machining parameters and cannot meet the requirement of online residual stress monitoring. Therefore, a novel surface residual stress monitoring method is proposed based on the easily measured online factor (power consumption of the 5-axis machine tool is used in the paper). Firstly, the power consumption of the machine tool (P t) is used to model the mean effective cutting power (P e¯). Secondly, the relationship between the surface residual stress in the feed direction (Rs x) and P e¯ is established. Thirdly, Rs x is predicted based on P t by combining these two models. Finally, a novel surface residual stress monitoring method based on P t is proposed. The effectiveness of the proposed method is validated by various experiments, and the mean prediction error rate is only 9.5%. From the case study, when the power consumption of machine power increases at a fixed spindle speed, Rs x changes from tensile stress to compressive stress. It provides a new method and platform for controlling the surface residual stress and greatly benefits the high-performance manufacturing of complex parts.