Tri-Dexel Model Based Geometric Simulation of Multi-axis Additive Manufacturing

He, Shanshan; Zeng, Xiongzhi; Yan, Cao; Gong, Hu; Lee, Chen-Han

doi:10.1007/978-3-319-65298-6_73

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…It was shown that the Dexel method has high potential for the simulation of additive processes. The constant layer volume was simulated by merging the Dexels using a constantly defined virtual tool to make a swept volume (converted into a Tri-Dexel model) as a geometry of the additive layer [13,14]. Because the height of the layers is assumed to be constant, this method is suitable for powder-bed-based AM processes only, such as selective laser melting (SLM).…”

Section: State Of the Artmentioning

confidence: 99%

Dexel-Based Simulation of Directed Energy Deposition Additive Manufacturing

Böß

Denkena

Dittrich

et al. 2021

JMMP

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Additive manufacturing is typically a flexible alternative to conventional manufacturing processes. However, manufacturing costs increase due to the effort required to experimentally determine optimum process parameters for customized products or small batches. Therefore, simulation models are needed in order to reduce the amount of effort necessary for experimental testing. For this purpose, a novel technological simulation method for directed energy deposition additive manufacturing is presented here. The Dexel-based simulation allows modeling of additive manufacturing of varying geometric shapes by considering multi-axis machine tool kinematics and local process conditions. The simulation approach can be combined with the simulation of subtractive processes, which enables integrated digital process chains.

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Section: State Of the Artmentioning

confidence: 99%

Dexel-Based Simulation of Directed Energy Deposition Additive Manufacturing

Böß

Denkena

Dittrich

et al. 2021

JMMP

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show abstract

Damage reconstruction from tri-dexel data for laser-aided repairing of metallic components

Zhang

Adkison

et al. 2018

Int J Adv Manuf Technol

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GPU accelerated voxel-based machining simulation

Schnös

Hartmann

Obst

et al. 2021

Int J Adv Manuf Technol

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The simulation of subtractive manufacturing processes has a long history in engineering. Corresponding predictions are utilized for planning, validation and optimization, e.g., of CNC-machining processes. With the up-rise of flexible robotic machining and the advancements of computational and algorithmic capability, the simulation of the coupled machine-process behaviour for complex machining processes and large workpieces is within reach. These simulations require fast material removal predictions and analysis with high spatial resolution for multi-axis operations. Within this contribution, we propose to leverage voxel-based concepts introduced in the computer graphics industry to accelerate material removal simulations. Corresponding schemes are well suited for massive parallelization. By leveraging the computational power offered by modern graphics hardware, the computational performance of high spatial accuracy volumetric voxel-based algorithms is further improved. They now allow for very fast and accurate volume removal simulation and analysis of machining processes. Within this paper, a detailed description of the data structures and algorithms is provided along a detailed benchmark for common machining operations.

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Tri-Dexel Model Based Geometric Simulation of Multi-axis Additive Manufacturing

Cited by 3 publications

References 14 publications

Dexel-Based Simulation of Directed Energy Deposition Additive Manufacturing

Dexel-Based Simulation of Directed Energy Deposition Additive Manufacturing

Damage reconstruction from tri-dexel data for laser-aided repairing of metallic components

GPU accelerated voxel-based machining simulation

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