Browse Topic: Non-destructive tests
To address the detection and monitoring needs of fatigue damage in ferromagnetic materials, this paper proposes a nondestructive testing method based on the evolution of magnetic hysteresis characteristics. By constructing a hysteresis loop measurement system, the variation patterns of coercivity (Hc) in Q235 steel specimens under cyclic loading were investigated, revealing three-phase characteristics of fatigue damage: the initial linear growth phase (N ≤ 8,000), the rapid rise phase (8,000 < N ≤ 12,000), and the stable oscillation phase (N > 12,000). Experimental results demonstrate that the relationship between coercivity and damage degree (D) can effectively characterize the processes of crack initiation, propagation, and instability, with significant inflection points observed at D = 0.6 and D = 0.8. The quantitative model based on coercivity provides a novel method for early warning and condition assessment of fatigue damage, offering advantages such as non-contact operation and high sensitivity. This study provides theoretical foundations and technical support for the health monitoring of engineering structures.
Metal-elastomer bonded components can suffer from manufacturing defects such as porosity and bond-line voids. Nondestructive evaluation (NDE) methods can replace or supplement existing destructive tests; however, implementation can be challenging for manufacturers due to the initial equipment cost, time required per test, and imaging quality. These criteria were used to evaluate shearography, high-resolution ultrasound testing (UT), 2D projection X-ray, computed tomography (CT), and acoustic emission (AE) testing, culminating in trade studies for different sample part types. Experimental work was performed on three samples of varying geometries and sizes with seeded defects, applying feasible NDE methods to each. Shearography succeeded in detecting void defects and flow fronts. X-ray and CT failed to detect flaws in 2 out of 3 part types due to energy and time constraints. UT could not reliably detect defects in parts with complex geometries because of scatter. Acoustic emission reliably detected a seeded knit-line defect.
Thermal nondestructive evaluation (NDE) is a widely used method for detecting defects such as cracks, corrosion, and dis-bond layers in metallic and composite structures. Traditional thermal inspection methods rely on a high-intensity, broadband light heat source (e.g., flash lamp, quartz lamp) that generates heat that is absorbed by the material, and an infrared camera captures the transient thermal response to generate inspection data. However, inspecting low emissivity surfaces (such as unpainted aluminum and titanium alloys) poses challenges including high reflection of the heat source light that can cause inaccurate measurement of the surface temperature response, produce false defect indications, and potential sensor damage due to high-intensity reflections.
This recommended practice (RP) establishes nondestructive in-line production test methods for evaluating the water leak tightness of propulsion battery packs. It aims to achieve results equivalent to the IEC 60529 standard’s IPX7 level using the Selected Equivalent Channel (EC) method defined in SAE J3277. This RP provides guidance for system setup, tooling design, validation, and leak test procedures. It acknowledges the limitations of certain battery pack designs and recommends appropriate air or tracer gas leak tightness technologies. Specifically, this RP covers nondestructive end-of-line leak testing for: Battery pack assembly: Ensuring protection against water ingress into the battery pack. Coolant system: Verifying the integrity of the coolant system and preventing coolant leaks into the battery pack.
Designing non-destructive test (NDT) systems for aerospace clients can feel like engineering with blindfolds on. Even when the parts under test aren’t confidential, they can change rapidly as companies optimize their designs. This accelerated innovation helps launch more powerful, safer vehicles for use inside Earth’s orbit and beyond. But how do you create precision inspection systems without knowing what they’ll inspect in the field?
Non-destructive evaluation of aircraft production is optimized and digitalized with Industry 4.0. The aircraft structures produced using fiber metal laminate are traditionally inspected using water-coupled ultrasound scans and manually evaluated. German Aerospace Center (DLR), Augsburg, Germany Ultrasonic Testing (UT) is a typical Non-destructive testing (NDT) method for examining the structural components for aircraft production. Manufacturing aircraft made of fiber metal laminates (FML) includes cascaded steps such as placement of aluminum, glass prepreg, adhesive, doublers, stringers, vacuum bagging and curing in an autoclave. Quality control (QC) is performed first at the layup of the component (without stringers) after curing and the quality assessment is visually evaluated. The manually performed examination of anomalies is very time-consuming. In addition, conducted NDT inspection using a manual UT phased array for Glass Reinforced (GLARER) FML of A380, it lacked the high capacity of data and additionally an evaluation software. So, non-destructive evaluation (NDE) 4.0 helps streamline processes, increase quality and lower costs in aircraft production with an automated quality assurance (QA). Traditionally, the quality control of FML is performed by an experienced examiner after the final production of an aircraft structure. But, with the implementation of machine learning (ML) techniques, defects can be identified instantaneously to help the examiner. So, the primary motivation was to develop an automated QA in aircraft production by implementing a machine learning algorithm. The quality analysis process in the proposed method consists of pre analyzing the sensor data acquisition to classify the features according to the defects and good qualities. The proposed approach reduces the examiner's workload, expensive repairs and manufacturing waste.
Ultrasonic Testing (UT) is a typical Non-destructive testing (NDT) method for examining the structural components for aircraft production. Manufacturing aircraft made of fiber metal laminates (FML) includes cascaded steps such as placement of aluminum, glass prepreg, adhesive, doublers, stringers, vacuum bagging and curing in an autoclave. Quality control (QC) is performed first at the layup of the component (without stringers) after curing and the quality assessment is visually evaluated. The manually performed examination of anomalies is very time-consuming. In addition, conducted NDT inspection using a manual UT phased array for Glass Reinforced (GLARE®) FML of A380, it lacked the high capacity of data and additionally an evaluation software.
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