通过数据驱动方法和劳动力发展加强增材制造的可持续性

Tianjiao Li, J. Yeo
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引用次数: 7

摘要

增材制造(AM)行业正在迅速发展和扩大,从而成为制造实践中数字革命的重要组成部分。虽然增材制造的工程方面正在深入研究,但仍有许多机会加强增材制造(SAM)的可持续性。切实提高AM社区对SAM的关注对于AM行业自下而上的可持续发展至关重要。AM的数字特性为获取、存储和利用数据提供了新的机会,通过数据驱动的方法来加强SAM。在这里,对地对空导弹的关注被放在了一个更具体的基础上。数据驱动方法的相应进展可以加强SAM,如优化AM设计,减少材料浪费和开发数据库。讨论了如何通过行业、政府和学术界之间的合作,开发和发展增材制造劳动力,以广泛利用增材制造的全部潜力,并减轻其对社会的不利影响。最后,重点介绍了几种有可能进一步加强未来工厂SAM的关键数字技术,包括混合制造、物联网、机器学习和人工智能。
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Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development
The additive manufacturing (AM) industry is rapidly developing and expanding, thereby becoming an important and integral component of the digital revolution in manufacturing practices. While the engineering aspects of AM are under intensive research, there still remain many chances to strengthen the sustainability of additive manufacturing (SAM). Cogently increasing the AM community's attention to SAM is vital for developing the AM industry sustainably from the bottom up. The digital nature of AM provides new opportunities for acquiring, storing, and utilizing data to strengthen SAM through data‐driven approaches. Herein, spotlight on SAM is shone upon and it is placed on a more concrete footing. The corresponding advances in data‐driven methods that can strengthen SAM are featured, such as optimizing designs for AM, reducing material waste, and developing databases. How the AM workforce can be developed and grown as a collaboration between the industry, government, and academia to extensively harness the full potential of AM as well as mitigate its adversarial social impact is discussed. Finally, several critical digital techniques that have the potential to further strengthen SAM in the factory of the future, including hybrid manufacturing, Internet of Things, and machine learning and artificial intelligence, are highlighted.
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