A study on amplitude transmission in ultrasonic welding of thermoplastic composites. (October 2018)

• Record Type: Journal Article
• Authors: Palardy, Genevieve; Shi, Huajie; Levy, Arthur; Le Corre, Steven; Fernandez Villegas, Irene
• Is Part Of: Composites. Volume 113(2018)
• Page Start: 339
• Page End: 349
• Publication Date: 2018-10
• Subjects: A. Thermoplastic resin -- B. Vibration -- C. Process Modelling -- E. Joints/Joining; Composite materials -- Periodicals; Manufacturing processes -- Periodicals; Composite materials; Manufacturing processes; Periodicals; 620.11805
• DOI: 10.1016/j.compositesa.2018.07.033
• Languages: English
• ISSNs: 1359-835X

Abstract

Abstract: Ultrasonic welding of thermoplastic composite materials is a promising joining technique that is now moving towards up-scaling, i.e. the assembling of large industrial parts. Despite its growing technological maturation, the assumed physical mechanisms underlying ultrasonic heating (viscoelastic heating, friction) are still insufficiently understood and modelled. In particular, the hammering phenomenon, resulting from the periodic loss of contact between the sonotrode and adherends due to the high frequency vibration caused to the former, directly impacts the heating efficiency. We propose in this work an original experimental and modelling approach towards a better understanding of the hammering effect. This approach makes combined use of: (i) an experimental static welding setup provided with a high-frequency laser sensor to analyse the vibration amplitude transmitted to the adherends and (ii) an improvement of the multiphysical finite element model already presented in previous works. Results show it is possible to obtain a good estimation of the vibration transmitted to the upper adherend from laser measurements close to the sonotrode. The hammering effect is shown to decrease during the welding process, due to the heating of the interface which directly affects further heat generation. Quantitative introduction of this hammering effect in the existing numerical model results in improved predictions in terms of dissipated power in time.