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The US Department of Defense (DoD) has awarded Georgia Tech with two 2022 Multidisciplinary University Research Initiative (MURI) awards totaling around $14 million. One of the projects, titled Programming Multistable Origami and Kirigami Structures via Topological Design, looks at how principles from the art of paper folding can be used in conjunction with 3D printing to design lightweight and flexible structures capable of changing shape. The aim is to enable structures that can transition between a wide variety of stable geometries to perform specific actions or adapt to ever-changing environmental conditions. The work is expected to have applications in everything from 3D printed multifunctional robotics to morphing bridges and collapsible radiofrequency components such as antennae. Georgia Tech campus. Photo via Georgia Tech. The MURI awards MURIs are awarded as part of a highly competitive DoD program designed to support teams of researchers that conduct work that may one day be… read more
April 20, 2022 Leave a Comment Learn how to set up a school’s 3D print program successfully and enjoy one of the most rewarding experiences in education. Watch students get deeply engaged in their learning process – across geography, chemistry, biology and more! Keys to set up a school’s 3D print program To successfully set up a school’s 3D print program one does depend on a few things, of course.Students need to enjoy success and at the same time – admins need to manage print queues without spending crazy amounts of time doing so!These are 3 critical indicators of a school’s 3D print program success. Indicator 1: Increased 3D Print Success One piece of prime importance is optimizing everything for more successful prints.On the one hand, you want students to push their own boundaries and accept that in doing so, they will sometimes fail. However, on the other hand, you… read more
In the second edition of 3D Printing Industry’s series on Artificial Intelligence (AI) and 3D printing, interviewees tell us how the technology is helping step up the process of identifying, optimizing and qualifying new additive manufacturing materials. As engineers that work in the industry will no doubt be aware, before 3D printing with any novel material, it’s necessary to ‘qualify’ it first. Traditionally, this has meant identifying a link between entered parameters for processing a given feedstock, and the properties of the parts it produces, in a way that provides later users with assurances on quality. However, qualification can be lengthy and laborious, and in the past, the National Institute of Standards and Technology (NIST) has criticized its “lack of repeatable process outcomes,” as an “impediment to [3D printing’s] widespread implementation.” One of those now seeking to accelerate the process is Intellegens, which has developed its own AI toolset that’s… read more
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