Reverse Engineering and Computer Modelling in Archaeometallurgy for the Reconstruction of Heritage Objects Using Precision Casting and 3D Printing
DOI:
https://doi.org/10.7494/jcme.2025.9.4.%25pKeywords:
casting, additive manufacturing, 3D scan, computer modelling, numerical simulations, copper alloys, bronze, investment casting, cultural heritage, archaeometallurgy, reconstruction, selective laser metlingAbstract
This article presents an interdisciplinary approach to the reconstruction of a copper-alloy artefact using reverse engineering techniques combined with modern digital and manufacturing technologies. The research was motivated by the need to better understand historical casting techniques while preserving the integrity of cultural heritage objects through non-destructive methods. The study integrates 3D scanning, CAD-based modelling, numerical simulations, investment casting, and metal additive manufacturing. The geometry of the artefact was captured using high-resolution 3D scanning, enabling the development of two CAD models: one representing the preserved state of the object and a second reconstructed model with the missing fragment digitally restored. Both models were used for numerical simulations of mould filling, solidification, cooling, and porosity formation performed in MAGMASOFT® 6.1, allowing the assessment of technological feasibility and defect formation. Based on the simulation results, physical replicas were produced using investment casting and selective laser melting.
The obtained numerical and experimental results were compared in terms of geometry reproduction, surface characteristics, and predicted versus observed casting behaviour. The study demonstrates that the combination of digital reconstruction, simulation tools, and experimental manufacturing provides a reliable framework for analysing historical metallurgical processes. The proposed methodology supports both scientific interpretation and the practical reconstruction of heritage objects and can be applied to a wide range of archaeometallurgical studies.
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Copyright (c) 2025 Karolina Marlicka, Andrzej Fijołek, Aldona Garbacz-Klempka, Marcin Piękoś
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