智能增材制造的维度

Keith A. Brown, Grace X. Gu
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引用次数: 2

摘要

增材制造(AM)随着计算技术的进步而成熟。这并非巧合,因为利用增材制造提供的结构自由度需要详细的计算以及在三维空间中设计和加工复杂结构的能力。然而,对AM系统进行编程的能力并不是计算和最近的机器学习对AM领域产生影响的唯一方式。事实上,近年来在AM领域出现了许多创新,这些创新以不同的方式赋予了该过程不同程度的“智能”。虽然其中许多是相互关联的,但智能AM的一些方法是完全不同的,因为它们推进了最先进技术的不同方面。我们这篇社论的目标是强调增材制造中智能的三个维度,并将它们与本期《高级智能系统》特刊中讨论这些维度创新的文章联系起来。这些方面包括增材制造生产的材料和结构的进步,使其更智能或更功能,加工的进步,以生产更好、更可靠的产品,以及使用增材制造作为一个比传统制造更灵活、更有能力的生态系统的进步(图1)。
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Dimensions of Smart Additive Manufacturing
Additive manufacturing (AM) has matured in parallel with advances in computation. This is not a coincidence as taking advantage of the structural freedom afforded by AM requires detailed calculations and an ability to design and process complex structures in three dimensions. However, the ability to program AM systems is not the only way in which computation, and more recently machine learning, have impacted AM as a field. In fact, recent years have seen a number of innovations in AM that have endowed the process with varying degrees of ‘intelligence’ in distinct ways. While many of these are connected, several of these approaches to smart AM are wholly distinct in that they advance different aspects of the state-of-the-art. Our goal in this editorial is to highlight three such dimensions of intelligence in AM and connect them to articles in this special issue of Advanced Intelligent Systems that discuss innovations along these dimensions. These dimensions include advances in the materials and structures produced by AM to make them smarter or more functional, advances in processing to produce better and more reliable products, and advances in using AM as an ecosystem that is more agile and capable than traditional manufacturing (Figure 1).
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