Fabrication of polymeric lattice structures for optimum energy absorption using Multi Jet Fusion technology

Habib, F. N.; Iovenitti, Pio G.; Masood, Syed H.; Nikzad, Mostafa

doi:10.1016/j.matdes.2018.05.059

Cited by 264 publications

(147 citation statements)

References 33 publications

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“…Simultaneously achieved are comparable material-dependent yield strengths (e.g. for PA12) [15], [16] are achieved. In addition to powder bed-based process developments, continuous liquid interface production (CLIP) represents a prominent technological improvement as a sub-process of digital light processing (DLP).…”

Section: Recent Technological Enhancementsmentioning

confidence: 74%

Axiomatic Design to Foster Additive Manufacturing-Specific Design Knowledge

Chekurov

Kretzschmar

Rossoni

et al. 2019

Volume 14: Design, Systems, and Complexity

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Axiomatic design has the potential to help designers understand the increased design freedom and limitations of additive manufacturing prior to starting the actual design process. The purpose of this study is to verify the usefulness of Axiomatic Design in the design process of complex additively manufactured components. The article uses a case study involving the design of a non-assembly turbine to demonstrate that Axiomatic Design can be applied as a supportive tool to acquire information on new limitations imposed by additive manufacturing, such as minimum wall thickness and maximum size of parts. The use of axiomatic design is demonstrated by describing the process of decomposition of the non-assembly turbine and examining the suitability of the general design according to the independence axiom. The resulting decomposition chart is subsequently used as a basis by the authors to design individually two competing designs of a turbine. Finally, the information axiom is used to determine the design with the lowest information content according to design (part and support volume), performance (pressure drop) and economic parameters (cost).

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Section: Recent Technological Enhancementsmentioning

confidence: 74%

Axiomatic Design to Foster Additive Manufacturing-Specific Design Knowledge

Chekurov

Kretzschmar

Rossoni

et al. 2019

Volume 14: Design, Systems, and Complexity

View full text Add to dashboard Cite

show abstract

“…2 ðcðρ,ωÞÞ ¼ ! Θ Z ½cðρ,ωÞ -ðcðρ,ωÞÞ 2 f ω ðωÞdω, (11) where f ω ðωÞ is the joint probability density function of the random variables.…”

Section: Calculation Of Statistical Momentsmentioning

confidence: 99%

“…At the microscale, for example, lattice metamaterials have been designed for negative Poisson's ratio [1][2][3], acoustic manipulation [4,5] and energy absorption [6]. Mesoscale lattice structures have also been embedded into global structures to achieve multifunctional heat exchangers [7,8], and parts with high energy absorption [9][10][11][12] and low weight [13,14]. In particular, lattice structures are exceptionally popular in the biomedical field due to their porosity, which allows biocompability with organic tissue, high performance-toweight ratio, and ease of customization [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Robust topology optimization of multi-material lattice structures under material and load uncertainties

2019

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Enabled by advancements in multi-material additive manufacturing, lightweight lattice structures consisting of networks of periodic unit cells have gained popularity due to their extraordinary performance and wide array of functions. This work proposes a density-based robust topology optimization method for meso-or macroscale multi-material lattice structures under any combination of material and load uncertainties. The method utilizes a new generalized material interpolation scheme for an arbitrary number of materials, and employs univariate dimension reduction and Gauss-type quadrature to quantify and propagate uncertainty. By formulating the objective function as a weighted sum of the mean and standard deviation of compliance, the tradeoff between optimality and robustness can be studied and controlled. Examples of a cantilever beam lattice structure under various material and load uncertainty cases exhibit the efficiency and flexibility of the approach. The accuracy of univariate dimension reduction is validated by comparing the results to the Monte Carlo approach.

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“…Multi jet fusion (MJF) can build parts with high dimensional accuracy, high quality, functionality that to at much faster rates than SLM and EBM processes discussed above. Unlike other 3D printing techniques, mechanical properties of parts manufactured by Multi jet fusion process doesn't depend on the build orientation that is they are isotropic in nature [23]. A self-explanatory schematic of MJF process is shown in Fig.…”

Section: Multi Jet Fusionmentioning

confidence: 99%

Applications, Manufacturing and Thermal Characteristics of Micro-Lattice Structures: Current State of the Art

Sur¹,

Narkhede²,

Darvekar³

2019

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Micro-lattice structures are emerging as multi-functional devices. They possess excellent heat transfer capabilities, energy absorption abilities, vibration control abilities, etc. The higher surface area to volume ratio of micro-lattice structures makes them suitable for heat transfer applications where compact and lightweight heat transfer mechanism is necessary such as in case of space and transportation. The heat transfer and mechanical load-bearing properties of micro-lattice structures can be tailored by altering several parameters such as the lattice strut angle, node-to-node spacing, the diameter of the strut, etc. In this paper, micro-lattice structures, their manufacturing methods, applications are reviewed and a passive heat transfer mechanism consisting of micro-lattice heat pipe is proposed for the battery thermal management system in electric vehicles.

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Fabrication of polymeric lattice structures for optimum energy absorption using Multi Jet Fusion technology

Cited by 264 publications

References 33 publications

Axiomatic Design to Foster Additive Manufacturing-Specific Design Knowledge

Axiomatic Design to Foster Additive Manufacturing-Specific Design Knowledge

Robust topology optimization of multi-material lattice structures under material and load uncertainties

Applications, Manufacturing and Thermal Characteristics of Micro-Lattice Structures: Current State of the Art

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