Abstract: High-resolution spatial data are essential for characterizing and monitoring surface quality in manufacturing. However, the measurement of high-resolution spatial data is generally expensive and time-consuming. Interpolation ...

Abstract: This study presents detailed analyses of variant joining processes under the category of friction stir riveting (FSR) that are applied to assemble similar or dissimilar materials by integrating the advantages of both ...

Abstract: Fine-scale characterization and monitoring of spatiotemporal processes are crucial for high-performance quality control of manufacturing processes, such as ultrasonic metal welding and high-precision machining. However, ...

Abstract: The shapes of machined surfaces play a critical role affecting powertrain performance, and therefore, it is necessary to characterize the shapes with high resolution. State-of-the-art approaches for surface shape ...

Abstract: This paper presents a tool wear monitoring framework for ultrasonic metal welding which has been used for lithium-ion battery manufacturing. Tool wear has a significant impact on joining quality. In addition, tool replacement, ...

Abstract: Online process monitoring in ultrasonic welding of automotive lithiumion batteries is essential for robust and reliable battery pack assembly. Effective quality monitoring algorithms have been developed to identify out of ...