SBIR/STTR Research Award
Non-Contact Ultrasonic System for Measuring Rail Neutral Temperature
Award amount
$206,500Program and phase
SBIR · Phase IAward year
2025Award details
- Awarding agency
- Department of Transportation
- Branch
- Not reported
- Recipient company
- X-wave Innovations, Inc. - FR1b
- Proposal award date
- 2025-08-20
- Contract end date
- 2026-02-19
- UEI
- EJD3MSJR9NK7
- Solicitation number
- 6913G625QSBIR1
- Topic code
- DOT-25-FR1
Research abstract
Track buckling caused by excessive compressive stress in Continuous Welded Rail (CWR) is a leading cause of derailments, making Rail Neutral Temperature (RNT) a crucial parameter for rail safety. Current RNT measurement methods are slow, labor-intensive, and require direct contact with the rail, limiting their practicality. To address these challenges, X-wave Innovations Inc. (XII) proposes a Non-Contact Ultrasonic System for Measuring RNT using Electromagnetic Acoustic Transducers (EMATs) and induction heating. The system generates multiple ultrasonic wave modes in the rail and actively heats a short section to induce temperature variations. By analyzing changes in time-of-flight (TOF), amplitude, and nonlinear coefficient of ultrasonic waves, the system accurately determines RNT. A self-calibrating approach enhances precision by utilizing wave modes insensitive to longitudinal stress as references for calibrating stress-sensitive mode responses. This novel approach enables fast, repeatable, and non-contact RNT measurements without requiring track modifications or passive temperature monitoring. Additionally, machine learning algorithms will improve signal processing, enhancing measurement reliability under diverse field conditions. By providing rail operators with a proactive, high-precision tool for RNT assessment, this technology supports the U.S. DOT’s rail safety and infrastructure objectives, reducing derailment risks and improving maintenance efficiency.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.