基于装置协同与路径耦合的榫卯节点精加工技术
作者单位:

石家庄铁道大学

基金项目:

河北省杰出青年科学(E2022210084)


Precision Finishing Technology for Mortise and Tenon Joints Based on Device Collaboration and Path Coupling Using Robotic Arms
Author:
Affiliation:

Shijiazhuang Tiedao University

Fund Project:

Natural Science Foundation of Hebei Province for Distinguished Young Scholars (E2022210084)

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    摘要:

    针对榫卯木构铣削过程内角残余问题,提出了一种基于遗传算法的内角残留去除精加工技术与高度集成化的木构加工装置。借助可视化编程技术对工具适配进行标准程序开发,将已有木构加工技术与机械臂运动系统相结合,组成木构协同加工系统。最后选取木结构中卯结构进行建造实验。研究结果表明:基于遗传算法的内角残留去除技术可切除内角,有效解决铣削技术圆弧残留问题。提出的木构协同加工系统可高效、高精度地完成建造任务。通过实际建造验证了数字建造技术的可行性及适用性。

    Abstract:

    This paper proposed a processing technology of removing residual inner corners and a highly integrated wood processing device based on the genetic algorithm, solving the problem of residual inner corners in the milling process of mortise-tenon joints. Leveraging visual programming technology, standard programs were developed for tool adaptation, integrating existing wood processing techniques with robotic arm motion systems to create a collaborative wood processing system. An experimental construction was conducted on the mortise structures within wooden assemblies. Research findings indicate that the genetic algorithm-based technology for removing internal corner residues can effectively eliminate internal corners, thereby resolving the issue of arc residues in milling technology. The proposed collaborative wood processing system, featuring robotic arms, can efficiently and precisely complete construction tasks, demonstrating the feasibility and applicability of digital construction technology through practical construction experiments.

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  • 收稿日期:2024-04-11
  • 最后修改日期:2024-09-14
  • 录用日期:2024-10-16
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