Standard Practice for Outlier Screening Using Process Compensated Resonance Testing via Swept Sine Input for Metallic and Non-Metallic Parts

Importancia y uso:

5.1 PCRT Applications and Capabilities—PCRT has been applied successfully to a wide range of outlier screening applications in the manufacture and maintenance of metallic and non-metallic parts. Examples of anomalies detected are discussed in 1.1. PCRT has been shown to provide cost effective and accurate outlier screening solutions in many industries including automotive, aerospace, and power generation. Examples of successful applications currently employed in commercial use include, but are not limited to:

(1) Silicon nitride bearing elements,

(2) Steel, iron, and aluminum rocker and control arms,

(3) Aircraft and industrial gas turbine engine components (blades, vanes, disks),

(4) Cast cylinder heads and cylinder blocks,

(5) Sintered powder metal gears and clutch plates,

(6) Machined forged steel steering and transmission components (gears, shafts, racks),

(7) Ceramic oxygen sensors,

(8) Silicon wafers,

(9) Gears, including those with induction hardened or carburized teeth,

(10) Ceramic matrix composite (CMC) material samples and components,

(11) Components with shot peened surfaces,

(12) Machined or rolled-formed steel fasteners, or both,

(13) Components made with additive manufacturing,

(14) Aircraft landing gear, wheel and brake components, and

(15) Components made with metal injection molding.

5.2 General Approach and Equipment Requirements for PCRT via Swept Sine Input: 

5.2.1 PCRT systems are comprised of hardware and software capable of inducing swept sine vibrations, recording the component response to the induced vibrations, and executing analysis of the data collected. Inputting a swept sine wave into the part has proven to be an effective means of introducing mechanical vibration and can be achieved with a high quality signal generator coupled with an appropriate active transducer in physical contact with the part. Collection of the part’s frequency response can be achieved by recording the signal generated by an appropriate passive vibration transducer. The software required to analyze the available data may include a variety of suitable statistical analysis and pattern recognition tools. Measurement accuracy and repeatability are extremely important to the application of PCRT.

5.2.2 Hardware Requirements—A swept sine wave signal generator and response measurement system operating over the desired frequency range of the test part are required with accuracy better than 0.002 %. The signal generator should be calibrated to applicable industry standards. Transducers must be operable over same frequency range. Three transducers are typically used; one “drive” transducer and two “receive” transducers. Transducers typically operate in a dry environment, providing direct contact coupling to the part under examination. However, noncontacting response methods can operate suitably when parts are wet or oil-coated. Other than fixturing and transducer contact, no other contact with the part is allowed as these mechanical forces dampen certain vibrations. For optimal examination, parts should be placed precisely on the transducers (generally, ±0.062 in. (1.6 mm) in each axis provides acceptable results). The examination nest and cabling shall isolate the drive from receive signals and ground returns, so as to not produce (mechanical or electrical) cross talk between channels. Excessive external vibration or audible noise, or both, will compromise the measurements.

5.3 Constraints and Limitations: 

5.3.1 PCRT cannot separate parts based on visually detectable anomalies that do not affect the structural integrity of the part. It may be necessary to provide additional visual inspection of parts to identify these indications.

5.3.2 Excessive process variation of parts may limit the sensitivity of PCRT outlier screening.

5.3.3 Specific anomaly identification is highly unlikely. PCRT is a whole body measurement, so differentiating between a crack and a void in the same location is generally not possible. It may be possible to differentiate some anomalies by using multiple patterns and teaching sets. The use of physics-based modeling and simulation to predict the resonance frequency spectrum of a component may also allow relationships between resonance frequencies and defect locations/characteristics to be established.

5.3.4 PCRT will only work with stiff objects that provide resonances whose peak quality factor (Q) values are greater than 500. Non-rigid materials or very thin-walled parts may not yield satisfactory Q values.

5.3.5 While PCRT can be applied to painted and coated parts in many cases, the presence of some surface coatings such as vibration absorbing materials and heavy oil layers may limit or preclude the application of PCRT.

5.3.6 While PCRT can be applied to parts over a wide range of temperatures, it should not be applied to parts that are rapidly changing temperature. The part temperature should be stabilized before collecting resonance data.

5.3.7 Misclassified parts in the teaching set, along with the presence of unknown anomalies in the teaching set, can significantly reduce the accuracy and sensitivity of PCRT.

Subcomité:

E07.06

Referida por:

E2001-18, E0543-21, E2534-20, E3166-20E01, E3213-19, E0543-21

Volúmen:

03.04

Número ICS:

17.160 (Vibrations, shock and vibration measurements), 19.100 (Non-destructive testing)

Palabras clave:

damage identification; elastic properties; feature extraction; nondestructive examination; nondestructive inspection; outlier screening; process compensated resonant examination; process compensated resonance testing; PCRT; process monitoring; production variation; quality control; resonance inspection; resonances; resonant frequency; resonant mode; resonant ultrasound spectroscopy; system health monitoring; vibration characteristics;