Characterization of multilayer ultrasonic welding based on the online monitoring of sonotrode displacement

Ma, Zunnong; Zhang, Yansong

doi:10.1016/j.jmapro.2020.03.007

Cited by 19 publications

(11 citation statements)

References 23 publications

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“…It also provided a theoretical underpinning for later usage of sonotrode displacement as a process parameter to explore the ultrasonic weld quality. Ma and Zhang 58 studied the relationship between the displacement curve of sonotrode in the clamping direction and plastic deformation and welding qualities and explored the influence of welding parameters on the displacement curve. It is proposed by them that the displacement rate, the slope of the displacement-time curve, could be used to monitor the weld quality, as shown in Figure 2.…”

Section: Displacement Signal Of Hornmentioning

confidence: 99%

“…Ma and Zhang 58 used confocal laser scanning microscope (CLSM) and finite element simulation to quantitatively calculate the plastic deformation of multi-layer ultrasonic weld joint, and divided the welding stage according to the microstructure. With the work hardening and acoustic softening caused by the input of ultrasonic energy, it is feasible to establish the relationship between plastic deformation and weld quality.…”

Section: Non-destructive Testingmentioning

confidence: 99%

“…Current development of ultrasonic welding in machine learning mainly focuses on: first, modelling of prediction 58 of weld quality and tool surface state; and second, comparing the prediction precision of these models.…”

Section: Welding Quality Monitoring Based On Machine Learningmentioning

confidence: 99%

“…Figure 2. Displacement and displacement rate curves of the horn under different pressures and amplitudes: (a) displacement-time curves at different pressures, (b) displacement rate at different pressures, (c) displacement-time curves at different amplitudes and (d)displacement rate curves at different amplitudes 58. …”

mentioning

confidence: 99%

See 3 more Smart Citations

A review of quality monitoring for ultrasonic metal welding

Feng,

Wang,

Meng

et al. 2024

Materials Science and Technology

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Ultrasonic metal welding, an emerging solid state bonding method, has drawn extensive attention and been applied in various manufacturing scenarios in recent years. This paper reviews the quality monitoring system of ultrasonic metal welding from in-situ testing (online monitoring), non-in-situ testing and prediction of ultrasonic weld quality through machine learning methods. In-situ testing focuses on the acquisition of different process parameters and their relationship to weld quality, while non-in-situ testing focus on the monitoring indicators of the weld quality and the testing means. The exploration of machine learning methods concentrates on the influence of model selection and parameter input on prediction accuracy. Based on the analysis, the future development trend of ultrasonic weld quality monitoring is provided.

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Section: Displacement Signal Of Hornmentioning

confidence: 99%

Section: Non-destructive Testingmentioning

confidence: 99%

Section: Welding Quality Monitoring Based On Machine Learningmentioning

confidence: 99%

mentioning

confidence: 99%

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A review of quality monitoring for ultrasonic metal welding

Feng,

Wang,

Meng

et al. 2024

Materials Science and Technology

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“…The local ultrasonic energy intensity (W cm –2 ) is up to 100 times higher than in ultrasonic baths because the area of ultrasound emission is lower. Typical applications of ultrasonic probe systems are disintegration, , food processing, − synthesis of nanomaterials/catalysts, − liquid degassing, degradation of organic pollutants, , extraction ultrasonic welding, − molding bonding, and consolidation …”

Section: Ultrasonic Reactor Configurationsmentioning

confidence: 99%

Sonoprocessing: From Concepts to Large-Scale Reactors

et al. 2021

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Intensification of ultrasonic processes for diversified applications, including environmental remediation, extractions, food processes, and synthesis of materials, has received attention from the scientific community and industry. The mechanistic pathways involved in intensification of ultrasonic processes that include the ultrasonic generation of cavitation bubbles, radical formation upon their collapse, and the possibility of fine-tuning operating parameters for specific applications are all well documented in the literature. However, the scale-up of ultrasonic processes with large-scale sonochemical reactors for industrial applications remains a challenge. In this context, this review provides a complete overview of the current understanding of the role of operating parameters and reactor configuration on the sonochemical processes. Experimental and theoretical techniques to characterize the intensity and distribution of cavitation activity within sonoreactors are compared. Classes of laboratory and large-scale sonoreactors are reviewed, highlighting recent advances in batch and flow-through reactors. Finally, examples of large-scale sonoprocessing applications have been reviewed, discussing the major scale-up and sustainability challenges.

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Ultrasonic welding of fiber-reinforced thermoplastic composites: a review

Chen

et al. 2022

Int J Adv Manuf Technol

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Characterization of multilayer ultrasonic welding based on the online monitoring of sonotrode displacement

Cited by 19 publications

References 23 publications

A review of quality monitoring for ultrasonic metal welding

A review of quality monitoring for ultrasonic metal welding

Sonoprocessing: From Concepts to Large-Scale Reactors

Ultrasonic welding of fiber-reinforced thermoplastic composites: a review

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