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Strain field sensing and reconstruction for a thin-wall plate

Authors: Man Yu; Jiajie Guo; Kok-Meng Lee;

Strain field sensing and reconstruction for a thin-wall plate

Abstract

Deformation and vibration of thin-wall workpieces during machining could induce residual stresses in the final products, which makes real-time monitoring of the strain field critical to optimizing machining process and minimizing workpiece stresses. However, traditional methods based on strain-gauge measurements are inapplicable because materials are removed during machining. Illustrated in the context of duplex lathe-turning that offers an effective means to reduce some unbalanced cutting forces, this paper presents a non-contact sensing method to reconstruct the continuous strain fields of a thin-wall workpiece under external time-varying cutting and clamping loads. This proposed method based on the linear combination of mode shapes obtained offline for online updating has been numerically verified against finite element analysis; both static and dynamic conditions are considered. Experiment results confirm that the method is effective in capturing the dynamic behaviors in practice.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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