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contributor authorLu, Lu
contributor authorGuo, Ping
contributor authorPan, Yayue
date accessioned2017-11-25T07:17:49Z
date available2017-11-25T07:17:49Z
date copyright2017/8/3
date issued2017
identifier issn1087-1357
identifier othermanu_139_07_071008.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234784
description abstractIn this paper, an additive manufacturing (AM) process, magnetic field-assisted projection stereolithography (M-PSL), is developed for 3D printing of three-dimensional (3D) smart polymer composites. The 3D-printed magnetic field-responsive smart polymer composite creates a wide range of motions, opening up possibilities for various new applications, like sensing and actuation in soft robotics, biomedical devices, and autonomous systems. In the proposed M-PSL process, a certain amount of nano- or microsized ferromagnetic particles is deposited in liquid polymer by using a programmable microdeposition nozzle. An external magnetic field is applied to direct the magnetic particles to the desired position and to form the desired orientation and patterns. After that, a digital mask image is used to cure particles in photopolymer with desired distribution patterns. The magnetic-field-assisted projection stereolithography (M-PSL) manufacturing process planning, testbed, and materials are discussed. Three test cases, an impeller, a two-wheel roller, and a flexible film, were performed to verify and validate the feasibility and effectiveness of the proposed process. They were successfully fabricated and remote controls of the printed samples were demonstrated, showing the capability of printed smart polymer composites on performing desired functions.
publisherThe American Society of Mechanical Engineers (ASME)
titleMagnetic-Field-Assisted Projection Stereolithography for Three-Dimensional Printing of Smart Structures
typeJournal Paper
journal volume139
journal issue7
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4035964
journal fristpage71008
journal lastpage071008-7
treeJournal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 007
contenttypeFulltext


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