Research on Large-Scale Additive Manufacturing Based on Multi-Robot Collaboration Technology (2019-10)¶

10.1016/j.addma.2019.100906

Shen Hongyao, Pan Lingnan, Qian Jun
Journal Article - Additive Manufacturing, Vol. 30

Abstract

Additive manufacturing is considered a promising technology for many applications, such as in the construction industry. However, the size of a design is constrained by the chamber volume of the 3D printer, and large-scale additive manufacturing technology with flexible equipment is still unproven. This paper proposes a large-scale 3D printing system composed of multiple robots working in collaboration. For this flexible and extensible 3D printing system, the influences of the multi-robot layout on the maximum reachable area and the geometry adaptability are discussed. Furthermore, a printer task optimized scheduling algorithm based on efficiency egalitarianism is proposed in this paper, and a robot interference avoidance strategy is designed by dividing the printing layer into several safe areas and interference areas. Collaborative printing experiments are implemented on the multi-robot platform, and the results show that the efficiency improvement with four robots exceeds 73 % compared with a general printing method.

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9 References

15 Citations

BibTeX

@article{shen_pan_qian.2019.RoLSAMBoMRCT,
  author            = "Hongyao Shen and Lingnan Pan and Jun Qian",
  title             = "Research on Large-Scale Additive Manufacturing Based on Multi-Robot Collaboration Technology",
  doi               = "10.1016/j.addma.2019.100906",
  year              = "2019",
  journal           = "Additive Manufacturing",
  volume            = "30",
}

Formatted Citation

IEEE

H. Shen, L. Pan and J. Qian, “Research on Large-Scale Additive Manufacturing Based on Multi-Robot Collaboration Technology”, Additive Manufacturing, vol. 30, 2019, doi: 10.1016/j.addma.2019.100906.

CMOS

Shen, Hongyao, Lingnan Pan, and Jun Qian. “Research on Large-Scale Additive Manufacturing Based on Multi-Robot Collaboration Technology”. Additive Manufacturing 30 (2019). https://doi.org/10.1016/j.addma.2019.100906.