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The Synergistic Role of Additive Manufacturing and Artificial Intelligence for the Design of New Advanced Intelligent Systems
被引:19
作者:

Milazzo, Mario
论文数: 0 引用数: 0
h-index: 0
机构:
Scuola Super Sant Anna, BioRobot Inst, Viale Rinaldo Piaggio 34, I-56025 Pontedera, PI, Italy
Univ Pisa, Dept Civil & Ind Engn, Largo Lucio Lazzarino 2, I-56122 Pisa, Italy Scuola Super Sant Anna, BioRobot Inst, Viale Rinaldo Piaggio 34, I-56025 Pontedera, PI, Italy

Libonati, Flavia
论文数: 0 引用数: 0
h-index: 0
机构:
Univ Genoa, Dept Mech Energy Management & Transportat Engn, Via All Opera Pia 15-A, I-16145 Genoa, Italy Scuola Super Sant Anna, BioRobot Inst, Viale Rinaldo Piaggio 34, I-56025 Pontedera, PI, Italy
机构:
[1] Scuola Super Sant Anna, BioRobot Inst, Viale Rinaldo Piaggio 34, I-56025 Pontedera, PI, Italy
[2] Univ Pisa, Dept Civil & Ind Engn, Largo Lucio Lazzarino 2, I-56122 Pisa, Italy
[3] Univ Genoa, Dept Mech Energy Management & Transportat Engn, Via All Opera Pia 15-A, I-16145 Genoa, Italy
关键词:
4D printing;
advanced manufacturing;
artificial intelligence;
designs;
intelligent systems;
machine learning;
smart materials;
COMPOSITE;
PREDICTION;
DRUG;
CNT;
D O I:
10.1002/aisy.202100278
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Intelligent materials and devices are considered the key to fulfill the strict and challenging requirements given by a large set of applications in numerous fields. The synergistic interplay of additive manufacturing (AM) technologies, specifically 4D-printing, and artificial intelligence (AI), have widened the design space and accelerated the design phase. 4D-printing, intended as the combination of 3D-printing with a fourth dimension (i.e., time), ensures the fabrication of complex topologies with materials that can be selectively triggered to change specific features (e.g., shape, color), whereas the use of smart inks or embedded sensors can bring additional functionalities (e.g., repairing, sensing, actuating) to fulfill the requirements of the targeted application. AI is the tool allowing scientists to train machines for developing human-like capabilities to discern, predict, and represent the statistically significant behavior of a phenomenon. If applied to the design of smart structures, it can be a powerful and efficient tool capable of reducing the time-to-manufacturing, improving the traditional design approach. In this perspective, a viewpoint is provided on how the synergistic use of AI and AM can advance the design of intelligent systems, with successful applications ranging from the robotics to the bioengineering sectors.
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