Intelligent optimization method for co-edge cutting path based on motion control cooperation

By using a common-edge cutting path optimization method, a common-edge interlocking topology graph is constructed and temporal dependency constraints are applied to achieve synchronous cutting by multiple torches. This solves the problems of path redundancy and thermal deformation in traditional methods, and improves cutting efficiency, accuracy and stability.

CN122099619BActive Publication Date: 2026-07-03杭州泛海科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-27
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Traditional common-edge cutting path optimization methods do not perform topological common-edge retrieval with directional constraints, resulting in path redundancy, chaotic timing of multi-torch collaboration, lack of velocity coupling constraints in motion control, affecting cutting accuracy and stability, and failing to consider thermal deformation suppression, making it difficult to balance efficiency, accuracy and deformation.

Method used

By using topological edge retrieval and matching, a common-edge interlocking topological graph is constructed, a time-dependent constraint model is established, and synchronous planning of dual-torch motion is carried out. A reverse symmetric cutting strategy is introduced, and the cutting path is iteratively optimized by combining the misalignment and superposition of the heat-affected zone and the symmetric release of stress.

Benefits of technology

It achieves interference-free and impact-free synchronous cutting by multiple torches, improves material utilization and cutting accuracy, reduces thermal deformation, and enhances processing stability and consistency.

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Abstract

This invention belongs to the field of path optimization technology, specifically a smart optimization method for shared-edge cutting paths based on motion control collaboration. The method includes: performing topological shared-edge retrieval and geometric overlap determination on parts to be cut by multiple torches, identifying overlapping cutting edges to form shared-edge pairs, and constructing a shared-edge interlocking topology graph among the parts. Based on the topology graph, the association information between shared-edge pairs and torches is extracted, a temporal dependency constraint model is established, and dual-torch synchronous planning is performed using shared-edge pairs as units to generate a collaborative motion instruction set. The instruction set is processed with dual-axis look-ahead S-shaped acceleration and deceleration and velocity coupling constraints are introduced to obtain a smooth motion trajectory. A reverse shared-edge cutting strategy is designed based on geometric symmetry to suppress thermal deformation of the sheet metal and optimize the collaborative cutting path sequence. The path sequence is sent to the motion controller, and synchronous cutting is completed according to the temporal interlocking control, outputting the processing results. In this invention, reverse co-cutting is achieved through topological collaboration and synchronous control, suppressing thermal deformation and improving accuracy and efficiency.
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Citation Information

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