Integrating Sensors in 3D Printed Structures for Impact Identification

Detecting barely visible defects caused by low-velocity impacts pose significant challenges for conventional inspection techniques. The advent of additive manufacturing, particularly 3D printing, opens new avenues for designing and fabricating smart structures that can incorporate various types of sensors. This study explores the integration of piezoelectric sensors into a 3D printed plate for real-time impact identification. To simulate an impact event, a steel ball was dropped freely onto the plate, allowing for the collection of data from the sensors. The resultant impact signals were analyzed using an over-defined triangulation method, successfully identifying both the location and magnitude of the impact. This approach demonstrates the potential of combining 3D printing with embedded sensor technology to enhance the monitoring and assessment of structural integrity in smart materials