Multi-Axis Support-Free Printing of Freeform Parts with Lattice Infill Structures

Li, Yamin; Tang, Kai; He, Dong; Wang, Xiangyu

doi:10.1016/j.cad.2020.102986

Cited by 34 publications

(6 citation statements)

References 40 publications

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“…The MA is a powerful tool as it gives useful topological information of a given part, such as the thickness at each shape point [101]. As the centroidal axis, MA can help in identifying the slicing directions [109,110] in case of curved slicing [109] or adaptive slicing [111] (see the following section for details). Also, MA can be used to generate discrete sub-volumes [27,100].…”

Section: Continuously Varied Direction Of Depositionmentioning

confidence: 99%

A review of geometry representation and processing methods for cartesian and multiaxial robot-based additive manufacturing

Lettori

Raffaeli

Bilancia

et al. 2022

Int J Adv Manuf Technol

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Nowadays, robot-based additive manufacturing (RBAM) is emerging as a potential solution to increase manufacturing flexibility. Such technology allows to change the orientation of the material deposition unit during printing, making it possible to fabricate complex parts with optimized material distribution. In this context, the representation of parts geometries and their subsequent processing become aspects of primary importance. In particular, part orientation, multiaxial deposition, slicing, and infill strategies must be properly evaluated so as to obtain satisfactory outputs and avoid printing failures. Some advanced features can be found in commercial slicing software (e.g., adaptive slicing, advanced path strategies, and nonplanar slicing), although the procedure may result excessively constrained due to the limited number of available options. Several approaches and algorithms have been proposed for each phase and their combination must be determined accurately to achieve the best results. This paper reviews the state-of-the-art works addressing the primary methods for the representation of geometries and the subsequent geometry processing for RBAM. For each category, tools and software found in the literature and commercially available are discussed. Comparison tables are then reported to assist in the selection of the most appropriate approaches. The presented review can be helpful for designers, researchers and practitioners to identify possible future directions and open issues.

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Section: Continuously Varied Direction Of Depositionmentioning

confidence: 99%

A review of geometry representation and processing methods for cartesian and multiaxial robot-based additive manufacturing

Lettori

Raffaeli

Bilancia

et al. 2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…As a flexible motion platform, robotic arms have been employed to realize multi-axis motion for 3D printing (see [21] for a survey). Prior works [11], [22], [23] have provided the smooth path planning and feed-rate control for robot-assisted MAAM system. Huang et al [24] present an optimization-based planning method for robot-assisted frame structure of 3D printing, which finds feasible fabrication sequence to avoid collision.…”

Section: B Related Workmentioning

confidence: 99%

“…In recent years, AM systems including multi-axis motion have been developed to overcome the drawbacks of planar layer-based material deposition [6]- [11]. Material deposition can be conducted along the normal of curved surface in these systems so that they enable advanced functions such as support-free printing, strength enhancement and surface quality improvement.…”

Section: Introductionmentioning

confidence: 99%

Singularity-aware motion planning for multi-axis additive manufacturing

Zhang

Chen

Fang

et al. 2021

Preprint

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Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include three parallel axes and two rotational axes. Singularity on rotational axes is a critical issue to be tackled in motion planning for ensuring high quality of manufacturing results. The highly nonlinear mapping in the singular region can convert a smooth toolpath with uniformly sampled waypoints defined in the model coordinate system into a highly discontinuous motion in the machine coordinate system, which leads to over-extrusion / underextrusion of materials in filament-based additive manufacturing. Moreover, collision may occur when sampling-based collision avoidance is employed. In this paper, we present a motion planning method to support the manufacturing realization of designed toolpaths for multi-axis additive manufacturing. Problems of singularity and collision are considered in an integrated manner to improve the motion therefore the quality of fabrication. Experiments are conducted to demonstrate the performance of our method.

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“…Recently, a multi-axis 3D printing technology has been developed to fully exhibit the technological advantages of 3D printing for integrated molding [47][48][49][50]. Due to its multi-axis motion characteristics, it can achieve non-planar printing and more complex printed objects with curved interlaminar feature, eliminating the limitation of degree of freedom present in traditional desktop 3D printers [51]. Therefore, in the current study, we aimed to use a multi-axis 3D printing system to fabricate SCFreinforced composites with PLAI and BISI and evaluate its effectiveness in improving the interlayer performance.…”

Section: Introductionmentioning

confidence: 99%

Improved Interlayer Performance of Short Carbon Fiber Reinforced Composites with Bio-Inspired Structured Interfaces

Zhang,

yang

et al. 2023

Preprint

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Multi-Axis Support-Free Printing of Freeform Parts with Lattice Infill Structures

Cited by 34 publications

References 40 publications

A review of geometry representation and processing methods for cartesian and multiaxial robot-based additive manufacturing

A review of geometry representation and processing methods for cartesian and multiaxial robot-based additive manufacturing

Singularity-aware motion planning for multi-axis additive manufacturing

Improved Interlayer Performance of Short Carbon Fiber Reinforced Composites with Bio-Inspired Structured Interfaces

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