Yangtze River Delta G60 laser alliance guide
据悉，印度科研人员综述了金属增材制造的最新进展:里程碑、趋势、挑战和前景。 相关研究以“A state-of-the-art review on metal additive manufacturing: milestones, trends, challenges and perspectives”为题发表在《Journal of the Brazilian Society of Mechanical Sciences and Engineering》上。
This article provides a comprehensive review of metal additive manufacturing (MAM). Compared with traditional manufacturing processes, the MAM process has great capabilities and advantages such as design freedom, structural optimization, almost negligible waste production, and the manufacture of complex structures, and is a promising technology in the future industrial manufacturing system. This review paper provides a comprehensive analysis of MAM and analyzes its classification in various techniques such as powder bed melting, directed energy deposition, sheet lamination, metal binder jetting, and material extrusion. In addition, the paper examines a variety of materials used in MAM, including traditional metals and alloys, as well as emerging new materials. The paper delves into metallurgical aspects, including processing parameters, solidification, metallurgical mechanisms, microstructure evolution, and mechanical properties. In addition, it provides a brief overview of the key challenges faced by industry in adopting these technologies, as well as some of the solutions that have been reported recently. Finally, some important future trends and ongoing development activities on the path of these technologies are summarized. In conclusion, the article provides some important knowledge about MAM, including its classification, materials, metallurgical aspects, challenges, and future trends and development opportunities.
Figure 1 Classification of MAM techniques
Fig.2 Schematic diagram of PBF-based MAM technology: a SLS, b SLM, and c EBM
图3 基于DED的MAM技术示意图:a LENS、b LFF、c WAAM和d EBFF
图4 基于SL的MAM技术示意图:a LOM、b UC 或 UAM 、c FSAM
Figure 5 Challenges associated with metal additive manufacturing
Fig.6. Schematic diagram of a metal stereolithography system; b Schematic diagram of MFCAM process
Fig.7. Schematic diagram of the design process of the part reinforcement process support
Figure 8 Integration of different modeling and simulation tools on the relevant length scales of manufactured parts
Figure 9 Visualization of machine learning and artificial intelligence integration in MAM
Metal Additive Manufacturing (MAM) is an innovative and transformative technology with great potential to revolutionize the manufacturing industry. This comprehensive review paper provides a scientific exploration of all aspects of metal additive manufacturing, including its classification, materials, metallurgical aspects, challenges, and future trends. Through an in-depth study of the existing literature, the researchers have found some important findings, highlighting the far-reaching importance and influence of MAM in modern manufacturing.
This review explores the various materials used in MAM, including common metals and alloys such as steel, aluminum-based alloys, titanium-based alloys, nickel-based alloys, and cobalt-based alloys. In addition, the potential of new materials and alloys such as metal matrix composites (MMC), high-entropy alloys (HEAs), bulk metallic glasses (BMGs), and shape memory alloys (SMAs) has been investigated. The wide variety of materials enables the production of parts with customized properties that facilitate complex designs and superior performance. The metallurgical aspects of MAM are the focus of this review, including the effects of processing parameter variables, the complexity of solidification, the underlying metallurgical mechanisms, and the subsequent evolution of microstructure and mechanical properties. These findings underscore the importance of precise control of processing parameters such as laser power, scanning speed, and layer thickness to obtain desired microstructure and mechanical properties. These insights pave the way for process optimization to ensure the production of consistently and reliable additive parts. Despite the great potential of MAM, there are still some challenges, as discussed in this review. These challenges include limited material range, post-processing requirements, limited manufacturing volumes, anisotropy of microstructure and mechanical properties, large-scale production capabilities, multi-material deposition, standardization issues, and repeatability and reproducibility issues. Addressing these challenges requires the collaboration of researchers, industry professionals, and policymakers to harness the full potential of MAM and promote its widespread adoption across a wide range of industries. Future MAM trends and developments will be discussed in depth in this review. These trends and developments include: advances in process technology, the exploration and utilization of new materials, the convergence of design for additive manufacturing (DfAM) principles with part integration, the mixing of additive and subtractive manufacturing processes, the emergence of automated post-processing technologies, the quest for higher deposition rates, robust quality control measures, the use of modeling and simulation for process optimization, and the integration of machine learning and artificial intelligence into the field of additive manufacturing. These future trends are expected to further enhance the capabilities and applications of MAM, making it a true revolution in manufacturing.
Finally, this review paper explores the world of MAM with scientific rigor and creative insight. Its findings highlight the transformative potential of MAM, particularly in the manufacture of complex, customized, and high-performance components. To harness the full power of MAM, researchers, industry professionals, and policymakers must work together. By overcoming existing challenges, exploring new materials and processes, and establishing robust standards and guidelines, MAM can be widely used. The integration of machine learning and artificial intelligence will further enhance the capabilities of MAM, enabling it to enable intelligent process optimization and quality control. As researchers embark on the path of MAM, the future will hold limitless possibilities, reshaping the manufacturing industry and pushing researchers into a new era of innovation and productivity.
Paper Links:
Badoniya, P., Srivastava, M., Jain, P.K.et al. A state-of-the-art review on metal additive manufacturing: milestones, trends, challenges and perspectives. J Braz. Soc. Mech. Sci. Eng. 46, 339 (2024). https://doi.org/10.1007/s40430-024-04917-8
The original work of Chen Changjun of the Yangtze River Delta G60 Laser Alliance