An investigation on crashworthiness performance of adhesive bonding in automobile hybrid front bumper system subjected to high-speed impact

Çam, Salim; Sofuoğlu, Hasan

doi:10.1016/j.ijimpeng.2022.104478

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…Research on NDT methods, to examine the bondline integrity of structural adhesive joints, has been considerably small in nature and scope [5,6,[15][16][17][18], especially given the widespread use of structural adhesives in vehicular structures [19][20][21][22][23], e.g., airplanes, automobiles, boats, etc. Indeed, recent studies on NDT inspection of adhesive joints show that not all types of adhesive defects are detectable, requiring the combined use of various NDT techniques, complex signal processing tools, and expensive testing apparatuses [24][25][26][27][28].…”

Section: (3a)mentioning

confidence: 99%

Damage Metrics for Void Detection in Adhesive Single-Lap Joints

Tenreiro,

Lopes,

da Silva

2023

Mathematics

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Structural Health Monitoring (SHM) techniques, such as Electromechanical Impedance Spectroscopy (EMIS), aim to continuously monitor structures for defects, thus avoiding the need for regular maintenance. While attention has been given to the application of EMIS in the automatic detection of damage in metallic and composite components, integrity monitoring of structural adhesive joints has been comparatively neglected. This paper investigated the use of damage metrics with electrical impedance measurements to detect defects in Single-Lap Joints (SLJs) bonded with a modified epoxy adhesive. Traditional metrics using statistical and distance-based concepts, such as the Root-Mean-Squared Deviation, RMSD, or the Correlation Coefficient, CC, are addressed at detecting voids in the adhesive layer and are applied to five different spectral frequency ranges. Furthermore, new damage metrics have been developed, such as the Average Canberra Distance, ACD, which enables a reduction of possible outliers in damage detection, or the complex Root-Mean-Squared Deviation, cRMSD, which allows for the use of both the real and imaginary components of the impedance, enabling better damage detection in structural adhesive joints. Overall, damage detection is achieved, and for certain spectral conditions, differentiation between certain damage sizes, using specific metrics, such as the RMSD or cRMSD, may be possible. Overall, the RMSD or cRMSD values from damaged SLJs tend to be double the metric values from undamaged joints.

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