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A novel strain field reconstruction method for test monitoring

International Journal of Mechanical Sciences, 2023
Xiangjun Bi, Caihua Zhou
exaly   +2 more sources

A Modal Expansion Method for Displacement and Strain Field Reconstruction of a Thin-Wall Component During Machining

IEEE/ASME Transactions on Mechatronics, 2018
Machining complex thin-wall components (such as compressor disks and casings in aircraft engines) has been a challenging task, because workpiece deformations and vibrations not only compromise the surface integrity, but also induce residual stresses in the final products.
Jiajie Guo, Kok-Meng Lee
exaly   +2 more sources

Full-field dynamic strain reconstruction of rotor blades under multi-mode vibration

Measurement: Journal of the International Measurement Confederation, 2022
Xuefeng Chen, Baijie Qiao
exaly   +2 more sources

Strain field reconstruction of crossbeam structure based on load–strain linear superposition method

Smart Materials and Structures, 2021
Abstract To address the problem that sensors cannot be affixed at certain critical locations of the crossbeam structure and the full-field strain distribution cannot be obtained in real-time. In this paper, a strain field reconstruction algorithm based on the load–strain linear superposition method is proposed to reconstruct the ...
Yangyang Cheng   +7 more
openaire   +1 more source

An Improved Strain Field Reconstruction Method Based on Digital Twin for Test Monitoring

Experimental Mechanics
B. Wang   +6 more
exaly   +2 more sources

Strain field sensing and reconstruction for a thin-wall plate

2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016
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 ...
Man Yu, Jiajie Guo, Kok-Meng Lee
openaire   +1 more source

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