Digital twins (DTs) can connect inspection data with product models to support safer, more efficient lifecycle decisions. This paper proposes a CAD-native workflow for implementing a digital twin that visualizes and manages non-destructive testing (NDT) results directly on a 3D model. The method supports over-the-surface data (ultrasonic C-scans, UT) via UV mapping and projected images (thermography, TT) via planar projection, both executed in Siemens NX with custom macros for point localization and on-surface measurement. We validate the approach on a bottom nacelle panel from a Honeywell HTF7000 turbofan engine, acquired via 3D scanning and reverse engineering. The resulting digital twin preserves a persistent spatial link between inspection images and geometry, enables remote sizing and review, and centralizes result management in the CAD environment for PLM use cases (e.g., defect history, trend analysis). Timelines indicate higher initial effort but reduced on-site workload and travel for qualified inspectors thereafter. Limitations include large file sizes when storing geometry and multiple images in a single model; we outline a lightweight distribution strategy and future automation/VR enhancements. The findings demonstrate the feasibility and practical value of CAD-resident digital twins for NDT visualization, remote evaluation, and product lifecycle management.
Product Lifecycle Management remains a strategy that aims to strengthen the capabilities and competitive advantages of the company. Its implementation and its adoption depend on the problems that are brought back to be solved by this tool as well as its acceptance by the companies that will implement it. Hence, we like to introduce this approach within the cottage industry to improve its competitiveness. For this, we are going to present this article as being the first step towards the introduction of this strategy within the craft sector. So, we aim to investigate the problems faced by the craft sector, the levers favoring the establishment of this kind of approach and to analyse the independence between the problems investigated, the nature of the companies interviewed and their sector of activity. Data was gathered from surveys of 132 craft industries the primary data analysis was performed using excel and SPSS techniques and chi square test. The results affirm that the management and communication problems, as well as problems related to the raw material waste, are the most dominant in the sector. Moreover, our study shows that the problems faced by the sector are independent towards the nature of the company and the sector of activity.
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