Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions.

Additive manufacturing is advantageous for producing lightweight components while addressing complex design requirements. This capability has been bolstered by the introduction of unit lattice cells and the gradation of those cells. In cases where loading varies throughout a part, it may be beneficial to use multiple, distinct lattice cell types, resulting in multi-lattice structures.

Effects of Immersion on Knowledge Gain and Cognitive Load in Additive Manufacturing Process Education.

Although the additive manufacturing (AM) market continues to grow, industries face barriers to AM adoption due to a shortage of skilled designers in the workforce that can apply AM effectively to meet this demand. This shortage is attributed to the high cost and infrastructural requirements of introducing high- barrier-to-entry AM processes such as powder bed fusion (PBF) into in-person learning environments. To meet the demands for a skilled AM workforce, it is important to explore other mediums of AM education, such as computer-aided instruction (CAI) and virtual reality (VR), which can increase access to hands-on learning experiences for inaccessible AM processes.

Teaching Designing for Additive Manufacturing: Formulating Educational Interventions That Encourage Design Creativity.

As additive manufacturing (AM) processes become more ubiquitous in engineering, design, and manufacturing, the need for a workforce skilled in designing for additive manufacturing (DfAM) has grown. Despite this need for an AM-skilled workforce, little research has systematically investigated the formulation of educational interventions for training engineers in DfAM. In this article, we synthesize findings from our experiments with 596 engineering design students to inform the development of educational interventions-comprising content presentations and design tasks-that encourage student learning and creativity.

Design and System Considerations for Construction-Scale Concrete Additive Manufacturing in Remote Environments via Robotic Arm Deposition.

This work explores additive manufacturing (AM) of concrete by using a six-axis robotic arm and its use in large-scale, autonomous concrete construction. Concrete AM uses an extrusion method to deposit concrete beads in layers to create a three-dimensional (3D) shape. This method has been found to have many uses and advantages in construction applications.

Design and manufacturability data on additively manufactured solutions for COVID-19.

Designers around the world have leveraged the rapid prototyping and manufacturing capabilities of additive manufacturing (AM), commonly known as 3D printing, to develop numerous engineering design solutions for the COVID-19 pandemic. This dataset consists of the design and manufacturability data for twenty-six such engineering design solutions spanning three categories: (1) face masks (N = 12), (2) face shields (N = 6), and (3) hands-free door openers (N = 8). The designs were collected from open-source websites such as Thingiverse, GrabCAD, and the NIH 3D Print Exchange.