Quality Prediction of Continuous Ultrasonic Welded Seams of High-Performance Thermoplastic Composites by means of Artificial Intelligence

Abstract Thermoplastic composites (TCs) are a famous choice when it comes to high performance designs for industrial applications. Since the growing demand on use of this material, is important be able evaluate suitable processing technologies. One those technologies continuous ultrasonic welding (CUSW) which creates joints, also called seams, between two or more TCs parts. In CUSW mechanical oscillations applied material and result in melting connecting The approach predict joint strength (qualities) welded by training different neural networks investigated study. Quality class prediction around 72 % accuracy achieved with fully connected network. Concluding, quality help artificial intelligence seems observation but research could lead reliable