Sep 2026· e-Journal of Nondestructive Testing· 0 citations
Abstract
Lock-in thermography (LIT) is an established non-destructive testing method for detecting surface and near-subsurface defects based on amplitude and phase information. However, the resulting measurement data are typically available as two-dimensional image information, which limits the direct geometric assignment of detected anomalies within three-dimensional component geometries. Particularly in the context of digital twins and model-based condition assessment, there is therefore a need for methods for the spatial integration of thermographic measurement data into virtual component models. In this work, a software-based approach is presented that interprets lock-in thermography data as scalar surface fields and projects them onto three-dimensional stereolithography (STL) component models. Amplitude or phase values are normalized, converted into parametric quantities, and used to generate a 3D relief that visualizes the spatial distribution of the thermal response on the real component geometry. The method enables an intuitive geometric localization of thermographically detected defects and provides a flexible interface between thermographic measurement data acquisition and digital component representation.
Reliable characterization of structural defects requires methods capable of resolving both directly observable surface damage and damage that is not visible from the inspected surface. This study presents two complementary non-contact, vision-based approaches for the detection and quantitative characterization of defec...
Accurate dimensional and deformation measurement of mechanical components is central to manufacturing quality control and experimental mechanics. Contact-based instruments such as Vernier calipers, micrometers, and coordinate measuring machines (CMMs) are widely used but introduce measurement loading and cannot simulta...
Rohan R. Ozarkar· International Journal of Ele...· 0 citations
Accurate detection of internal defects in concrete structures is critical to structural safety. This study proposes a three-stage method for segmentation and geometric quantification of defects from 3D ultrasonic point clouds to support non-destructive testing (NDT). Sparse point clouds are densified by grid-based, aco...
Yi Zhou, Junlei Song, Cheng-Gang Zhou et al.· Buildings· 0 citations
This study presents an exploratory image-based defect analysis and complementary terrestrial laser scanning (TLS) documentation of Sikatak Bridge, a steel arch bridge with concrete components located in Semarang, Central Java, Indonesia. A Leica RTC360 produced a colourised point cloud, while smartphone photographs ill...
Hourisa Zukhrufiana Pawila Salnatunosi, Javier Atha Hidayat, Yudo Prasetyo· Nova Geodesia· 0 citations
To address the challenges of multi-source error mapping and evaluation in ultra-precision turning, a modeling and evaluation method utilizing virtual machining is proposed. First, a spatial kinematic model of the machine tool incorporating geometric errors is constructed using Multi-Body System (MBS) theory. Subsequent...
Zhuo-Yuan Zhu, Shi-Yuan Li, Lu-Yao Zhang et al.· Global Intelligent Industry...· 0 citations
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