1990
DOI: 10.1016/0043-1648(90)90052-c
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Tool wear monitoring based on cutting power measurement

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Cited by 64 publications
(18 citation statements)
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“…Some studies found that cutting energy was closely related to the tool condition, and there was a linear relationship between cutting power and the amount of tool wear (Cuppini et al, 1990). Shao et al (2004) considering the influence of the average tool flank wear to cutting power, proposed the following face milling cutting energy consumption model.…”
Section: Energy Consumption Model Based On the Amount Of Toolmentioning
confidence: 99%
“…Some studies found that cutting energy was closely related to the tool condition, and there was a linear relationship between cutting power and the amount of tool wear (Cuppini et al, 1990). Shao et al (2004) considering the influence of the average tool flank wear to cutting power, proposed the following face milling cutting energy consumption model.…”
Section: Energy Consumption Model Based On the Amount Of Toolmentioning
confidence: 99%
“…Feed drive motor sensors have also been used for tool condition monitoring and cutting force estimation. Previous applications of a spindle power sensor to monitor tool wear include [20][21][22][23]. Li et al [24] apply neural network and fuzzy logic analysis techniques to estimate cutting forces and detect the onset of accelerated wear using the feed motor current.…”
Section: Tool Condition Monitoringmentioning
confidence: 99%
“…Caprino et al [5], in their work regarding orthogonal milling of uni-directional glass fiber-reinforced plastics using high speed tools, have concluded that both the horizontal and vertical forces undergo large variations with the tool wear. Cuppini et al [6] have focused on the methods and devices for in-process tool wear monitoring in turning operations and have presented an approach to the tool decay monitoring based on cutting power measurement. However, important parameters such as workpiece properties, cutting speed, feed and depth of cut which influence the tool wear by a large extent, were not taken into account separately.…”
Section: Introductionmentioning
confidence: 99%