article · Journal of Materials Science Materials in Engineering
Additive manufacturing, commonly termed three-dimensional printing, constructs complex geometries layer by layer from digital designs. This overview charts the development, capabilities, and upcoming trajectories of the technology across primary categories, including material extrusion, vat photopolymerisation, powder bed fusion, and directed energy deposition. Material choices encompassing polymers, metals, ceramics, and composites significantly dictate mechanical performance and practical utility. Current industrial deployment spans aerospace, biomedicine, automotive, construction, and consumer goods. Nevertheless, adoption encounters obstacles such as anisotropic mechanical properties, limited material options, high energy demands, and constraints around scalability. Integrating machine learning and artificial intelligence aids in monitoring processes, predicting defects, and refining print quality. Compared with subtractive methods, additive techniques alter material utilisation, energy profiles, and production adaptability, supported by life cycle assessments and market data confirming industry expansion.
Understanding additive manufacturing helps industries move away from wasteful traditional fabrication methods towards flexible, custom production. By highlighting material performance, environmental impacts, and technological hurdles, this assessment clarifies how digital manufacturing can produce lighter, complex parts while mapping out the technological improvements needed to make high-tech printing cleaner, cheaper, and more dependable for widespread commercial use.
The work maps commercial applications across aerospace, automotive, biomedical, and construction sectors seeking customised components. As a review article rather than a specific prototype test, it assesses existing industrial deployments alongside emerging solutions like machine learning process controls and multi-material printing. Commercialisation is actively ongoing across the reviewed sectors, though broader industrial uptake requires resolving issues around defect prediction, material variety, energy efficiency, and scalability constraints identified across the industry.
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Abstract Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the manufacturing landscape by enabling layer-by-layer fabrication of complex geometries from digital models. This paper provides a comprehensive overview of the evolution, current capabilities, and future directions of AM. Beginning with the historical rise of AM, it explores and compares its major technological categories, including material extrusion, vat photopolymerization, powder bed fusion, and directed energy deposition. Each technology is discussed with regard to standard classifications and operational mechanisms. It further examines the crucial role of material properties and selection, emphasizing how polymers, metals, ceramics, and composites influence mechanical performance and application suitability. The paper investigates the deployment of AM across industries such as aerospace, biomedical, automotive, construction, and consumer goods, highlighting transformative applications. Despite its benefits, AM faces challenges such as anisotropic mechanical properties, limited material diversity, high energy consumption, and scalability constraints. Recent advancements leveraging machine learning (ML) or (AI) integration are discussed, particularly in process monitoring, defect prediction, and print quality optimization. ML-integrated process optimization techniques are shown to enhance part performance and production efficiency. Additionally, this study compares AM with subtractive manufacturing (SM), focusing on material utilization, energy efficiency, and production flexibility. A life cycle assessment (LCA) is conducted to evaluate the environmental and economic impacts of AM technologies. Market analysis indicates substantial global growth of the AM industry, fueled by technological maturation and increasing demand for customized solutions. Finally, it projects future research directions, including the development of multi-material printing, integration of AI-driven adaptive systems, sustainable material innovations, and the role of AM in decentralized manufacturing. This holistic analysis affirms AM’s pivotal role in reshaping the future of manufacturing with enhanced sustainability, precision, and design freedom. Overall, this review offers a big-picture view of AM where it stands today and how it’s paving the way for a more innovative, sustainable, and flexible future in manufacturing.
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DOI: 10.1186/s40712-025-00306-8
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