Vibrant PCRT testing uses Vibrational Pattern Recognition (VIPR) and RUSpec software packages. Vibrant’s software tools give PCRT unique capabilities for process monitoring, nondestructive testing (NDT) and material property characterization. Vibrational Pattern Recognition (VIPR), is a set of tools that identifies diagnostic resonance frequency patterns and statistically scores them to yield test results. RUSpec software determines engineering material properties for material samples using measured resonance frequencies.
Vibrational Pattern Recognition (VIPR™)
VIPR is a set of pattern recognition and statistical scoring tools that identify the combination of resonance modes that best differentiate good and bad parts from each other. VIPR uses those modal frequencies to statistically score parts relative to the rest of the population. For PASS/FAIL NDT applications VIPR scores can be used for outlier screening and/or targeted defect detection. Scores can also be used for monitoring and control of established and new manufacturing or repair processes. VIPR scoring of resonance data is fully automated within the software. The PASS/FAIL results require no operator interpretation. PCRT inspections using VIPR typically take less than 15 seconds per part. All of the results are stored electronically for traceability and process control. Parts that require periodic maintenance and inspection can be monitored over their lifetime by tracking stored resonance frequency and VIPR scoring data from each shop visit.
RUSpec uses measured resonant frequencies to determine the material properties of simple parts like spheres, cylinders and parallelepipeds. The user inputs the part dimensions, mass, and a set of material properties as an initial guess for the program’s closed form analytical solution prediction of material properties. The program can use isotropic, cubic, hexagonal, tetragonal and orthorhombic material models.
The RUSpec program then calculates the resonant frequencies corresponding to the initial inputs and material model. Next, the user records a resonance spectrum for a physical part, and matches the modeled peaks with the measured ones. Finally, RUSpec performs an iterative fit of the modeled resonance frequencies to the measured ones, and outputs the corresponding engineering material properties for the measured frequency data. The output material properties include Young’s Modulus, Bulk Modulus, Shear Modulus and Poisson’s Ratio.