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Innovation trends in hybrid additive manufacturing – A bibliometric analysis

Aluno: JoÃo Pedro Grosa Magrinho


Resumo
The manufacturing industry is undergoing a significant transformation driven by the increasing demands for efficiency, customisation, and sustainability. Among the emerging technologies, Additive Manufacturing (AM) has been recognised as a revolutionary technology with the potential to disrupt conventional manufacturing processes. However, AM faces challenges related to achieving consistent quality, precision, and productivity, which have hindered its wide adoption. This thesis explores the hybridisation of conventional and AM processes, termed Hybrid Additive Manufacturing (HAM), which combines both technologies' strengths to overcome these limitations. This study examines the current research landscape and development trends in HAM through a bibliometric analysis. The findings reveal that HAM is still in its early stages of development, with a notable surge in research activity observed in recent years. The Technological Life Cycle (TLC) analysis, utilising the Gompertz model, suggests that HAM is in its growth phase, with peak publication activity anticipated around 2030. The bibliometric analysis identifies key trends, influential publications, and leading sources, emphasising HAM research's dynamic and multidisciplinary nature. This research highlights the relevance of international collaboration in enhancing the impact and visibility of HAM studies. It also identifies critical research gaps and emerging topics that warrant further exploration, such as process optimisation and material innovations. This thesis provides a systematic overview of HAM, underscoring its potential to revolutionise manufacturing processes and drive the next wave of industrial innovation. The insights gained from this study serve as a valuable resource for researchers, industry professionals, and policymakers aiming to navigate the complexities of HAM and leverage its capabilities for sustainable manufacturing solutions.


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