Natural structural materials are built at ambient temperature from a fairly limited selection of components. They usually comprise hard and soft phases arranged in complex hierarchical architectures, with characteristic dimensions spanning from the nanoscale to the macroscale. The resulting materials are lightweight and often display unique combinations of strength and toughness, but have proven difficult to mimic synthetically. Here, we review the common design motifs of a range of natural structural materials, and discuss the difficulties associated with the design and fabrication of synthetic structures that mimic the structural and mechanical characteristics of their natural counterparts.

Bioinspired structural materials

This chapter introduces the finite element method (FEM) as a tool for solution of classical electromagnetic problems. Although we discuss the main points in the application of the finite element method to electromagnetic design, including formulation and implementation, those who seek deeper understanding of the finite element method should consult some of the works listed in the bibliography section.

Introduction to the Finite Element Method

Additive manufacturing (AM) is poised to bring about a revolution in the way products are designed, manufactured, and distributed to end users. This technology has gained significant academic as well as industry interest due to its ability to create complex geometries with customizable material properties. AM has also inspired the development of the maker movement by democratizing design and manufacturing. Due to the rapid proliferation of a wide variety of technologies associated with AM, there is a lack of a comprehensive set of design principles, manufacturing guidelines, and standardization of best practices. These challenges are compounded by the fact that advancements in multiple technologies (for example materials processing, topology optimization) generate a "positive feedback loop" effect in advancing AM. In order to advance research interest and investment in AM technologies, some fundamental questions and trends about the dependencies existing in these avenues need highlighting. The goal of our review paper is to organize this body of knowledge surrounding AM, and present current barriers, findings, and future trends significantly to the researchers. We also discuss fundamental attributes of AM processes, evolution of the AM industry, and the affordances enabled by the emergence of AM in a variety of areas such as geometry processing, material design, and education. We conclude our paper by pointing out future directions such as the "print-it-all" paradigm, that have the potential to re-imagine current research and spawn completely new avenues for exploration. The fundamental attributes and challenges/barriers of Additive Manufacturing (AM).The evolution of research on AM with a focus on engineering capabilities.The affordances enabled by AM such as geometry, material and tools design.The developments in industry, intellectual property, and education-related aspects.The important future trends of AM technologies.

The status, challenges, and future of additive manufacturing in engineering

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Difference and Repetition

The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry.

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Design for additive manufacturing: trends, opportunities, considerations, and constraints

In historic design conventions geometry has traditionally promoted descriptive manifestations of form. Beyond the realm of geometry, the concept of performance which may inform such manifestations also carries important potential for design generation. This work explores the relation between geometry and performance from a computational-geometry perspective. It does so by revisiting certain analytical tools offered in most of today's 3-D modelers which support the evaluation of any generated surface geometry specifically curvature and draft angle analysis. It is demonstrated that these tools can be reconstructed with added functionality assigning 3-D geometrical features informed by structural and environmental performance respectively. In the examples illustrated surface thickness (as a function of structural performance) is assigned to curvature values, and transparency (as a function of light performance) is assigned to light analysis values. In a broader scope this work promotes a methodology of perfo...

Get Real towards Performance-Driven Computational Geometry

In exemplary implementations of this invention, a reconfigurable device comprises flexible bladder that encloses a jammable material. The geometry of the device can be altered by unjamming the jammable material (making it flexible), changing the shape of the device while it is flexible, and then jamming the jammable material (making it rigid). In some applications of this invention, a joint connects rigid arms. The ends of the rigid arms are enclosed in the bladder. By varying the stiffness of the jammable material in the bladder, the stiffness of the joint can be controlled.

Jamming Methods and Apparatus

Despite recent advancements in digital fabrication and manufacturing, limitations associated with computational tools are preventing further progress in the design of non-standard architectures This paper sets the stage for a new theoretical framework and an applied approach for the design and fabrication of geometrically and materially complex functional designs coined Fabrication Information Modeling (FIM) We demonstrate systems designed to integrate form generation, digital fabrication, and material computation starting from the physical and arriving at the virtual environment The paper reviews four computational strategies for the design of custom systems through multi-scale trans-disciplinary data, which are classified and ordered by the level of overlap between the modeling media and the fabrication media: (1) the first model takes as input biological data and outputs 3D printed digital materials organized according to functional constraints; (2) the second model takes as input geometry and environmental data and outputs robotically wound fibers organized according to functional constraints; (3) the third model takes as input material and environmental data and outputs CNC deposited pastes organized according to functional constraints; (4) the forth model takes as input biological, material and environmental data and outputs robotically deposited polymers organized according to functional constraints The analysis of these models will demonstrate the FIM approach and point towards its value to designers who seek to inform their work through multi-scale transdisciplinary data, a capability that is currently missing from standard design-to-fabrication workflows

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Towards Fabrication Information Modeling (FIM): Four Case Models to Derive Designs informed by Multi-Scale Trans-Disciplinary Data

An unorganized point cloud may be created by an optical 3D scanner that scans a physical object, or by computer simulation. The point cloud may be converted into binary raster layers, which encode material deposition instructions for a multi-material 3D printer. In many cases, this conversion—from point cloud to binary raster files—is achieved without producing a 3D voxel representation and without producing a boundary representation of the object to be printed. The conversion may involve spatial queries to find nearby points, filtering material properties of the found points, looking up material mixing ratios, and dithering to produce binary raster files. These raster files may be sent to a multi-material 3D printer to control fabrication of an object. A user interface may display a preview of the object to be printed, and may accept user input to create or modify a point cloud.

Methods and apparatus for 3D printing of point cloud data

Architect Neri Oxman, Associate Professor and Head of the Mediated Matter Group at the MIT Media Lab, introduces how new advances in additive manufacturing coupled with emerging capabilities in materials science and synthetic biology are today empowering designers to combine top-down design procedures with bottom-up digital or physical growth across spatial and temporal scales.

Neri Oxman

Papers

Get Real towards Performance-Driven Computational Geometry

Jamming Methods and Apparatus

Towards Fabrication Information Modeling (FIM): Four Case Models to Derive Designs informed by Multi-Scale Trans-Disciplinary Data

Methods and apparatus for 3D printing of point cloud data

Templating Design for Biology and Biology for Design