Abstract
Ultrasonic welding is an energy-efficient and effective technique for joining thermoplastic polymers and composites. It utilizes ultrasonic frequency vibrations to generate frictional and viscous heating, facilitating molecular diffusion bonding between surfaces. Key controlled parameters in this process include supply frequency and amplitude, weld time, hold time and static clamp pressure. This study presents experimental trials, governing process equations, simulation studies, and image processing results for ultrasonic welding of 150 × 50 mm polymer materials with a thickness of 5 mm. The investigation explored the impact of energy director configurations and process parameters on weld quality. Findings highlighted the dependency of ultrasonic weld quality on these controlled parameters, underscoring the importance of optimizing static clamp pressure and offering new insights into energy director usage. Additionally, the study used image processing for weld defect identification and compared image processing algorithms—Fuzzy C-Means (FCM) and Otsu. FCM algorithm was found effective in the comparative study. Simulation of the piezoelectric converter system illustrated how vibrational amplitude is influenced by power supply and frequency. The conceptual exploration of temperature gradients, along with simulation analyses and experimental observations, lays the groundwork for advanced research in ultrasonic welding. This study provides interdisciplinary insights into polymer thermal gradient behavior and outlines further research needs for designing an efficient ultrasonic polymer welding machine.
Get full access to this article
View all access options for this article.