STEP-NC feature-oriented high-efficient CNC machining simulation

Zhao, Gang; Cao, Xian; Xiao, Wenlei; Liu, Qiang; Jun, Martin B. G.

doi:10.1007/s00170-019-04770-3

Cited by 14 publications

(5 citation statements)

References 26 publications

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“…The GPU-driven algorithm is efficient because the process is simple and there is no copying of mesh data from memory to video memory. Table 1 shows the comparison between the proposed method (GPU-driven method) and relevant research results [20][21], including mesh model generation time consumption and refresh rate. Experiments show that although the computing load of mesh generation is increased in GPU side, final refresh rate can always stay above 60Hz even if the mesh model of complex geometry is constructed.…”

Section: Case Studymentioning

confidence: 99%

Study on the GPU-driven mesh generation algorithm for machining simulation

Cao¹,

Xiao²,

Zhao³

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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Machining simulation is often used to verify the rationality of NC (Numerical Control) machining toolpath and is the core function of CAM software. In order to improve computational efficiency, machining simulation algorithm is usually designed based on the discrete geometric model of workpiece, which is widely used in engineering. With the discrete geometric model as input, machining simulation algorithm is difficult to generate real-time changing 3D rendering visualization for workpiece. This paper proposed a GPU-driven mesh generation method for machining simulation. This method improves the traditional conversion method based on Marching Cube algorithm, and uses the parallel computing capability of GPU to improve the efficiency of mesh generation. The method proposed in this paper supports real-time user interaction, and may also be applied to virtual engraving modeling and digital twin for NC machining.

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Section: Case Studymentioning

confidence: 99%

Study on the GPU-driven mesh generation algorithm for machining simulation

Cao¹,

Xiao²,

Zhao³

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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show abstract

“…Since STEP-NC records what is commonly termed a micro process-plan it is also suitable for archiving where the process parameters are recorded explicitly. Zhao et al [27] explained by using STEP-NC formats advantage, richness of information, are also more proper format for maching simulation. For further considerations, see Um et al [8] which compares existing data representations with the STEP-NC data representation in an additive manufacturing process for re-manufacturing.…”

Section: Necessity Of Exact Model In Additive Manufacturingmentioning

confidence: 99%

STEP-NC Based Squashing Slicing Algorithm for Multi-Material and Multi-Directional Additive Process

Um¹,

Park²,

Stroud³

2021

Preprint

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The paper describes problems with the current additive manufacturing chain before considering additive manufacturing as part of a modern manufacturing chain. Additive manufacturing can be used for near net-shape for finishing, for repair or for adding special features which cannot be made with traditional manufacturing. This paper describes how STEP-NC deals with these different scenarios in terms of accuracy, multi-material and variation of slice direction. The possibilities of multi-material objects also raises questions about the design of such objects and how these need to be handled by an advanced controller. The paper also describes non-planar slicing. Curved direction and cylindrical direction are shown to improve the accuracy of curved structure additive manufacturing. STEP-NC using boundary representation has better capability of depicting complex internal structures for additive processes. By using exact model of the final product represented by STEP-NC, the paper demonstrates improvements in data size reduction, slicing accuracy, and precise manipulation of internal structure.

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“…Since STEP-NC records what is commonly termed a micro process-plan it is also suitable for archiving where the process parameters are recorded explicitly. Utilizing the advantages of the STEP-NC formats, Zhao et al [28] explained that richness of information is also appropriate for machine simulations. For further considerations, see Um et al [10] which compares existing data representations with the STEP-NC data representation in an additive manufacturing process for re-manufacturing.…”

Section: Necessity Of Exact Model In Additive Manufacturingmentioning

confidence: 99%

Squashed-Slice Algorithm Based on STEP-NC for Multi-Material and Multi-Directional Additive Processes

Park

Stroud³

2021

Applied Sciences

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Even though additive manufacturing is receiving increasing interest from aerospace, automotive, and shipbuilding, the legacy approach using tessellated form representation and cross-section slice algorithm still has the essential limitation of its inaccuracy of geometrical information and volumetric losses of final outputs. This paper introduces an innovative method to represent multi-material and multi-directional layers defined in boundary-representation standard model and to process complex sliced layers without missing volumes by using the proposed squashing operation. Applications of the proposed method to a bending part, an internal structure, and an industrial moulding product show the assurance of building original shape without missing volume during the comparison with the legacy method. The results show that using boundary representation and te squashing algorithm in the geometric process of additive manufacturing is expected to improve the inaccuracy that was the barrier of applying additive process to various metal industries.

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STEP-NC feature-oriented high-efficient CNC machining simulation

Cited by 14 publications

References 26 publications

Study on the GPU-driven mesh generation algorithm for machining simulation

Study on the GPU-driven mesh generation algorithm for machining simulation

STEP-NC Based Squashing Slicing Algorithm for Multi-Material and Multi-Directional Additive Process

Squashed-Slice Algorithm Based on STEP-NC for Multi-Material and Multi-Directional Additive Processes

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