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The reconstruction of worn, damaged, and obsolete mechanical components presents considerable challenges in industrial maintenance, particularly when original engineering drawings, computer-aided design (CAD) models, and replacement parts are unavailable. Conventional manufacturing approaches often require extensive measurement, redesign, tooling, and machining operations, potentially increasing production lead time and maintenance costs. The integration of three-dimensional (3D) scanning, reverse engineering, and additive manufacturing (AM) offers a digitally enabled approach to component reconstruction and localized production. This paper critically examines the technical principles, process requirements, and industrial applications of an integrated scan-to-manufacture workflow. It proposes a structured methodology encompassing geometric acquisition, point-cloud processing, surface reconstruction, parametric CAD modelling, manufacturing process selection, fabrication, post-processing, and dimensional verification. Mathematical formulations for geometric deviation, dimensional accuracy, reconstruction time, and manufacturing efficiency are introduced to support systematic evaluation. The analysis identifies major technical challenges associated with measurement uncertainty, inaccessible geometries, surface irregularities, material properties, manufacturing distortion, and functional validation. A closed-loop reconstruction framework is proposed to integrate inspection feedback into design refinement and process optimization. The study establishes that combining 3D scanning and additive manufacturing can provide a flexible approach to reconstructing mechanical components, particularly for low-volume replacement applications. However, successful reconstruction requires rigorous geometric verification, appropriate material selection, and performance assessment rather than dimensional similarity alone.
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Maniyar et al. (2026) studied this question.
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