Programmatic Lattice Generation for Additive Manufacture

McMillan, Matthew; Jurg, Marten; Leary, Martin; Brandt, Milan

doi:10.1016/j.protcy.2015.07.029

Cited by 36 publications

(10 citation statements)

References 16 publications

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“…Besides improving the buckling load 4 or strength-to-weight ratio 5 compared with their solid counterparts, lattices are also well suited for multiphysics problems dealing with heat dissipation 6,7 or energy absorption. 8,9 An array of unit cell libraries is at the engineer's and designer's disposal today, 10,11 offering unique mechanical performance. To generate cellular structures and introduce them into the design process, a number of specialized software packages are available industrially.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Performance of Additively Manufactured Fiber-Reinforced Functionally Graded Lattices

Plocher

Panesar

2019

JOM

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Latticing has become a common design practice in additive manufacturing (AM) and represents a key lightweighting strategy to date. Functional graded lattices (FGLs) have recently gained immense traction in the AM community, offering a unique way of tailoring the structural performance. This paper constitutes the first ever investigation on the combination of graded strut-and surface-based lattices with fiber-reinforced AM to further increase the performance-to-weight ratio. The energy absorption behavior of cubic lattice specimens composed of body-centered cubic and Schwarz-P unit cells with different severities of grading but the same mass, considered for uniaxial compression testing and printed by fused deposition modelling of short fiberreinforced nylon, were investigated. The results elucidate that grading affects the energy absorption capability and deformation behavior of these lattice types differently. These findings can provide engineers with valuable insight into the properties of FGLs, aiding targeted rather than expertise-driven utilization of lattices in design for AM.

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Section: Introductionmentioning

confidence: 99%

Mechanical Performance of Additively Manufactured Fiber-Reinforced Functionally Graded Lattices

Plocher

Panesar

2019

JOM

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“…The inadequacy and inefficiency of AM file formats have been pointed out by many authors. In recent articles, various file representations of AM data have been compared, including industrial standardized formats [6], academical representations [7], and CAD native formats [8]. Among other points, it has been identified that many superior standardized formats adapted to AM (such as AMF) are struggling to be adopted within the industrial sector, while the earliest simpler file formats (such as STL) are still widely used in spite of their poor definition level.…”

Section: Related Workmentioning

confidence: 99%

Lightweight Mesh File Format Using Repetition Pattern Encoding for Additive Manufacturing

Vaissier

Pernot

Chougrani³

et al. 2020

Computer-Aided Design

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To facilitate the transfer, storage and manipulation of intricate parts' geometry whose fabrication has been made possible thanks to the rise of Additive Manufacturing (AM) technologies, an encoding framework reducing the resulting file size has been developed. This approach leverages the fact that many AM parts are presenting repetition patterns, by encoding the repetition of similar geometry chunks. The decomposition of the part into chunks is a complex optimization problem, whose identification as a Weighted Exact Cover (WEC) problem allowed to develop a new heuristic algorithm dedicated to its fast resolution in linear time O(n). The encoding strategy is implemented through a variation of the AMF file standard (for quick adoption of the format by existing software), and also through a new ad-hoc hybrid file format. To demonstrate the efficiency of the approach, the encryption of lattice and support structures through these two encoding strategies are compared to the results of several state-of-the-art encoding approaches. The way this data weight lightening strategy preserves the overall accuracy is discussed while considering different floating points encoding precisions with respect to the AM process requirements. This comparison exhibits file size reductions up to -84% in comparison with file sizes generated by state-of-the-art approaches. Not only the proposed repetition pattern encoding framework allows file size reductions, but it could also be exploited to optimize and speed-up some steps of the Product Development Process (PDP), including process planning phases.

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“…In industrial applications where weight reduction is mandatory, such as automotive and aerospace, lattice structures are widely used [56]. Reference [14] discusses a method to measure the property degradation using asfabricated voxel model.…”

Section: Am Applicationmentioning

confidence: 99%

A systematic review of voxelization method in additive manufacturing

Bacciaglia

Ceruti

Liverani

2019

Mechanics & Industry

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Additive manufacturing (AM) is becoming an important alternative to traditional processes. AM technology shows several advantages in literature, and its use increases in aerospace, automotive and biomedicine. Time reduction in design-to-manufacturing cycle, customization, capability to generate complex shapes in one piece and ability to imitate low-weight bio-inspired shapes are the strength of designs based on AM. Due to its potentials, major progresses were done in AM, thanks to technology evolution and increased computational power. With regard to AM, voxelization can be defined as part’s discretization in hexahedral elements, as done with pixels in 2D image. Voxels are used to speed-up geometry and algebraic manipulation thanks to their inherent advantages. This paper analyses advantages and criticalities of AM and voxel manipulation through a systematic literature review methodology. The analyses are based upon the filtering of a huge amount of publications available in literature up to obtaining the most significant 25 studies published in the last 5 years. The study’s main result is the technology gap’s identification, i.e. where AM and voxelization still need improvements, thus providing the reader with suggestions about possible further studies. Computer elaboration power and voxel discretization algorithms are suggested being key issues in AM’s further development.

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Programmatic Lattice Generation for Additive Manufacture

Cited by 36 publications

References 16 publications

Mechanical Performance of Additively Manufactured Fiber-Reinforced Functionally Graded Lattices

Mechanical Performance of Additively Manufactured Fiber-Reinforced Functionally Graded Lattices

Lightweight Mesh File Format Using Repetition Pattern Encoding for Additive Manufacturing

A systematic review of voxelization method in additive manufacturing

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