SonicWeld utilizes Impulse Excitation Technique with advanced signal processing and machine learning to detect TPO membrane weld defects, providing immediate, quantifiable, and non-destructive inspection results.
SonicWeld represents a breakthrough in non-destructive testing for thermoplastic polyolefin (TPO) weld quality assessment. Utilizing the Impulse Excitation Technique, SonicWeld delivers precise taps to TPO welds and analyzes the resulting acoustic signatures with advanced signal processing and machine learning algorithms. This method identifies subsurface defects, providing immediate and quantifiable results that ensure roofing integrity and reduce costly repairs and warranty claims.
SonicWeld is currently at Technology Readiness Level 4, indicating that it has been validated in a laboratory environment. The next steps include algorithm development, field testing, and refinement based on real-world data, leading to comprehensive specifications and analysis methods for broader application.
University of Wisconsin–Milwaukee is a comprehensive public research university in the state’s largest metro, pairing broad academic breadth with an applied, urban mission. Industry engages through an innovation campus and research park that co-locate university labs with startups and corporate teams, plus shared-use core facilities. Its location puts partners near a major regional medical center and within a leading freshwater and advanced manufacturing cluster, enabling pilots, internships, and joint development. Research is supported by competitive federal funding from agencies such as NSF, NIH, and DOE. A dedicated technology transfer office and affiliated foundation manage IP, licensing, corporate agreements, and seed funding to accelerate commercialization.