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" Additive Manufacturing of 3-D Microarchitected Materials, Micro Electrode Arrays, and Micro Lattice Batteries: "
Saleh, Mohammad Sadeq
Panat, Rahul
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Latin Dissertation
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English
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| Record Number
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1104595
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TLpq2240014905
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| Main Entry
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Panat, Rahul
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Saleh, Mohammad Sadeq
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| Title & Author
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Additive Manufacturing of 3-D Microarchitected Materials, Micro Electrode Arrays, and Micro Lattice Batteries:\ Saleh, Mohammad SadeqPanat, Rahul
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| College
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Carnegie Mellon University
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| Date
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2019
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2019
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| Degree
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Ph.D.
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| Page No
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202
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| Abstract
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Micro Additive Manufacturing (μAM) methods are capable of fabricating complex three-dimensional devices and structures at submillimeter length scales. These methods result in faster production, reduced waste, and enhanced design customization compared to conventional microfabrication techniques. Printed electronics, architected metamaterials, printed biomedical devices, and printed batteries are the frontline applications that can benefit from these novel fabrication methods. Bringing the additive manufacturing to micron length scales for these applications, however, is a challenging task since only a few such techniques (e.g. those involving photopolymerization of polymers) are scalable to submillimeter length scales. This presents an opportunity for non-conventional technologies to be developed to address this need and expand the application envelope of AM. In this work, we aim to achieve a bottom-up assembly of materials by direct writing of nanoparticle colloidal dispersions to fabricate three-dimensional structures and microdevices with feature sizes down to 10-15μm. To achieve this goal, an entirely new manufacturing method is developed by leveraging aerosol jet printing technique to create three-dimensional micro architectures without any support structures via a rapid spatial assembly of materials in droplet-by-droplet fashion. The underlying mechanisms of this manufacturing technique and its limitations are studied. Further, the effect of aerosol droplet size distribution on the print quality and variability is investigated by a sediment collection and batch image analysis approach. Successful implementation of this uAM technique is demonstrated by synthesis/fabrication of micro-architected lattice materials, high-capacity micro-lattice Li-ion batteries, and high-density microelectrode arrays for electrophysiological recordings.
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Electrical engineering
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Neurosciences
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