Metal Additive Manufacturing (MAM) has emerged as a transformative technology enabling the fabrication of advanced materials with tailored properties and complex geometries. Beyond conventional structural applications, recent developments have focused on the production of smart and functional materials, which exhibit responsive behavior to external stimuli such as temperature, stress, magnetic fields, and electrical signals. These materials, including shape memory alloys, piezoelectric materials, magneto strictive alloys, and multifunctional composites, are increasingly critical in applications such as sensors, actuators, biomedical devices, and energy systems. This paper presents a comprehensive review of metal additive manufacturing processes for smart and functional materials, emphasizing the relationship between processing parameters, microstructure evolution, and functional performance. Key AM techniques such as Powder Bed Fusion (PBF), Directed Energy Deposition (DED), and hybrid manufacturing approaches are analyzed in detail. The review also explores design strategies for achieving smart functionality, including topology optimization, multi-material integration, and functionally graded architectures. Furthermore, challenges such as process-induced defects, anisotropy, and scalability are critically examined. Emerging trends such as AI-driven manufacturing, digital twins, and nanoscale control are discussed to highlight future research directions. This study aims to provide a comprehensive understanding of the potential of MAM in advancing next-generation smart material systems.
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Oleullah et al. (2026) studied this question.
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