Machine learning enables electrical resistivity modeling of printed lines in aerosol jet 3D printing

Machine learning enables electrical resistivity modeling of printed lines in aerosol jet 3D printing

Among various non-contact direct ink writing techniques, aerosol jet printing (AJP) stands out due to its distinct advantages, including a more adaptable working distance (2-5 mm) and higher resolution (~ 10 μm). These characteristics make AJP a promising technology for the precise customization of...

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Bibliografski detalji
Glavni autori: Li, Mingdong, Yin, Shuai, Liu, Zhixin, Zhang, Haining
Daljnji autori: School of Mechanical and Aerospace Engineering
Format: Journal Article
Jezik:English
Izdano: 2024
Teme:
Engineering
Printed line electrical resistivity
Aerosol jet printing
Online pristup:https://hdl.handle.net/10356/179576

Internet

https://hdl.handle.net/10356/179576

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