Direct digital manufacturing of three-dimensional functionally graded material objects

Chiu, W. K.; Yu, Kai Ming

doi:10.1016/j.cad.2008.10.002

Cited by 43 publications

(32 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Direct Digital Manufacturing is generally defined as the usage of additive technologies to fabricate end-use components by digital means [11,16]. DDM enables the generation of 3D physical objects out of 3D digital models through the deposition of material in a layer-by-layer fashion, without machining, molding or casting [15].…”

Section: Direct Digital Manufacturing (Ddm)mentioning

confidence: 99%

See 1 more Smart Citation

Flow-based fabrication: An integrated computational workflow for design and digital additive manufacturing of multifunctional heterogeneously structured objects

Duro-Royo

Mogas-Soldevila

Oxman

2015

Computer-Aided Design

View full text Add to dashboard Cite

Structural hierarchy and material organization in design are traditionally achieved by combining discrete homogeneous parts into functional assemblies where the shape or surface is the determining factor in achieving function. In contrast, biological structures express higher levels of functionality on a finer scale through volumetric cellular constructs that are heterogeneous and complex. Despite recent advancements in additive manufacturing of functionally graded materials, the limitations associated with computational design and digital fabrication of heterogeneous materials and structures frame and limit further progress. Conventional computer-aided design tools typically contain geometric and topologic data of virtual constructs, but lack robust means to integrate material composition properties within virtual models. We present a seamless computational workflow for the design and direct digital fabrication of multi-material and multi-scale structured objects. The workflow encodes for and integrates domainspecific meta-data relating to local, regional and global feature resolution of heterogeneous material organizations. We focus on water-based materials and demonstrate our approach by additively manufacturing diverse constructs associating shape-informing variable flow rates and material properties to mesh-free geometric primitives. The proposed workflow enables virtual-to-physical control of constructs where structural, mechanical and optical gradients are achieved through a seamless design-to-fabrication tool with localized control. An enabling technology combining a robotic arm and a multi-syringe multi nozzle deposition system is presented. Proposed methodology is implemented and full-scale demonstrations are included.

show abstract

Section: Direct Digital Manufacturing (Ddm)mentioning

confidence: 99%

“…Researchers in academic institutions and industry are rapidly developing complex multi-material AM hardware posing software designers technical challenges associated with taking full advantage of hardware capabilities [9,10,11]. Conventional computeraided design (CAD) tools can enable and support the manipulation of geometric and topologic virtual constructs.…”

mentioning

confidence: 99%

Flow-based fabrication: An integrated computational workflow for design and digital additive manufacturing of multifunctional heterogeneously structured objects

Duro-Royo

Mogas-Soldevila

Oxman

2015

Computer-Aided Design

View full text Add to dashboard Cite

show abstract

“…This gap was formed partly due to the fact that virtual design tools are generally based on geometrical representation and lack robust means to integrate material properties and fabrication constraints in the design workflow [2,3,31,34]. Academic and industrial bodies are advancing hardware platforms that demand rapid growth of computational tools to interface with them [7,8,9]. It is expected that overlap among and across media will result in more efficient design protocols and will achieve better functionality across length and time scales [3,4].…”

Section: Introductionmentioning

confidence: 99%

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

Duro-Royo

Oxman

2015

MRS Proc.

View full text Add to dashboard Cite

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.

show abstract

“…Figure 1(b-e) illustrates the rasterization of a bitmap slice obtained from a polygonal object, where we treat the generation of a polygonal slice as an optional stage. Figure 1(c) shows a priority-ordering 8 step, describing, in a fully usercontrolled manner, which material domain has higher precedence. This approach is required in cases where two or more geometric material domains are overlapping, and, as a result, a defined priority has to dictate which material will be deposited.…”

Section: Computational Frameworkmentioning

confidence: 99%

Data-Driven Material Modeling with Functional Advection for 3D Printing of Materially Heterogeneous Objects

BaderChristoph

KolbDominik

WeaverJames

et al. 2016

3D Printing and Additive Manufacturing

View full text Add to dashboard Cite

We present a data-driven approach for the creation of high-resolution, geometrically complex, and materially heterogeneous 3D printed objects at product scale. Titled Data-driven Material Modeling (DdMM), this approach utilizes external and user-generated data sets for the evaluation of heterogeneous material distributions during slice generation, thereby enabling the production of voxel-matrices describing material distributions for bitmap-printing at the 3D printer's native voxel resolution. A bitmap-slicing framework designed to inform material property distribution in concert with slice generation is demonstrated. In contrast to existing approaches, this framework emphasizes the ability to integrate multiple geometry-based data sources to achieve high levels of control for applications in a wide variety of design scenarios. As a proof of concept, we present a case study for DdMM using functional advection, and we demonstrate how multiple data sources used by the slicing framework are implemented to control material property distributions.

show abstract

Direct digital manufacturing of three-dimensional functionally graded material objects

Cited by 43 publications

References 25 publications

Flow-based fabrication: An integrated computational workflow for design and digital additive manufacturing of multifunctional heterogeneously structured objects

Flow-based fabrication: An integrated computational workflow for design and digital additive manufacturing of multifunctional heterogeneously structured objects

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

Data-Driven Material Modeling with Functional Advection for 3D Printing of Materially Heterogeneous Objects

Contact Info

Product

Resources

About