Model-driven path planning for robotic plasma cutting of branch pipe with single Y-groove based on pipe-rotating scheme

Yan Liu , Qiu Tang , Xin-Cheng Tian

Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (1) : 94 -107.

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Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (1) : 94 -107. DOI: 10.1007/s40436-023-00453-1
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Model-driven path planning for robotic plasma cutting of branch pipe with single Y-groove based on pipe-rotating scheme

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Abstract

The automatic cutting of intersecting pipes is a challenging task in manufacturing. For improved automation and accuracy, this paper proposes a model-driven path planning approach for the robotic plasma cutting of a branch pipe with a single Y-groove. Firstly, it summarizes the intersection forms and introduces a dual-pipe intersection model. Based on this model, the moving three-plane structure (a description unit of the geometric characteristics of the intersecting curve) is constructed, and a geometric model of the branch pipe with a single Y-groove is defined. Secondly, a novel mathematical model for plasma radius and taper compensation is established. Then, the compensation model and groove model are integrated by establishing movable frames. Thirdly, to prevent collisions between the plasma torch and workpiece, the torch height is planned and a branch pipe-rotating scheme is proposed. Through the established models and moving frames, the planned path description of cutting robot is provided in this novel scheme. The accuracy of the proposed method is verified by simulations and robotic cutting experiments.

Keywords

Automatic groove cutting of intersecting pipes / Model-driven robot path planning / Plasma beam radius and taper compensation

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Yan Liu, Qiu Tang, Xin-Cheng Tian. Model-driven path planning for robotic plasma cutting of branch pipe with single Y-groove based on pipe-rotating scheme. Advances in Manufacturing, 2024, 12(1): 94-107 DOI:10.1007/s40436-023-00453-1

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Funding

National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809(62103234)

Shandong Provincial Natural Science Foundation(ZR2021QF027)

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