Session: 03-11-03: NASA Thermoplastics Development for Exploration Applications (TDEA)

Paper Number: 137887

137887 - Finite Element Thermal Model for Ultrasonic Welding of Thermoplastic Composites 

Ultrasonic welding (UW) is a fast and energy-efficient technique for joining thermoplastic composites. UW involves the use of high-frequency mechanical vibrations and a static welding force to melt and join adherends. Ultrasonic welding is an enabling technology to reduce the cost and complexity of in-space construction because lightweight thermoplastic composite components can be packaged compactly for launch and then efficiently assembled using supervised autonomous robotic technologies on site. However, the temperatures in space present challenges to UW, and it is critical that the efficacy of process parameters selected for manufacturing in space is understood prior to launch.

To this end, a three-dimensional finite element model is presented in this technical presentation. The model incorporates equations for effects of viscoelastic heating and heat transfer on the welding process. The proposed model is applied to predict the temperature distribution in single lap shear (SLS) samples composed of AS4/PEEK (TC1200) composite that were welded using a terrestrial machine as part of a comprehensive weldability study. Thermocouple and infrared spot sensor data from the SLS samples provide empirical temperature measurements for calibration and validation of the UW thermal model. Calibration and validation of the model is an important step given the significant uncertainties in material properties such as the loss modulus and necessary assumptions in the physics implementations which allow the model to converge in an acceptable amount of time. The validated thermal model can be used to simulate the process for the space environment. Future validation sample testing is planned in a vacuum chamber. The result will be a model capable of guiding process parameter selection to ensure acceptable weld bonds when manufacturing in space.

Presenting Author: Josh Fody NASA

Presenting Author Biography: Josh Fody serves as a Research Aerospace Engineer working in the NASA Langley Research Center's Structural Mechanics and Concepts Branch (D312). Mr. Fody’s interests are at the intersection of thermal materials and data science. His current research includes thermal process modeling, probabilistic calibration of expensive numerical models to empirical data using Bayesian active learning techniques, and empirical data acquisition from digital images using computer vision.