4.8 Article

Highly sensitive three-dimensional scanning triboelectric sensor for digital twin applications

Journal

NANO ENERGY
Volume 97, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.nanoen.2022.107198

Keywords

Triboelectric nanogenerator; Force sensor; Three-dimensional scanning; Digital twin; Post-process

Funding

  1. National Key R & D Project from Minister of Science and Technology [2021YFA1201602]
  2. National Nature Science Foundation of China [61774016, 21773009, 22109013, U21A20147]
  3. China Post-doctoral Science Foundation [2021M703172]
  4. Fundamental Research Funds for the Central Universities [E1E46802]

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This paper introduces a three-dimensional scanning system for obtaining a more realistic digital model. A point cloud collection probe is used to accurately collect data from the surface of objects with minimal damage. A productive post-processing system is proposed to recognize and compensate for noise and baseline drift errors, greatly improving the system's accuracy. This system has significant implications for the development of digital twin technology and its applications in intelligent manufacturing, intelligent healthcare, and cultural relics protection.
Digital twin benefits for product designing, simulating, and troubleshooting. To obtain a more realistic digital model, it is crucial to accurately collect point could data in the complex environment affected by light, sound, and electromagnetic fields. In this paper, a three-dimensional (3D) scanning system is proposed to achieve distinguishing output and almost damage-free point cloud collection to the surface of objects. Thanks to the linearity between voltage signal and sliding displacement of sliding triboelectric nanogenerator (S-TENG), a self powered point cloud collecting probe has been designed. More importantly, S-TENG probe generates high voltage with little friction force making it almost no damage to the contact surface of the sample object while scanning. To enormously improve the accuracy of the whole system, a productive post-processing system has been proposed to recognize and compensate for the noise and baseline drift errors caused by the surrounding environment. This system vigorously promotes the development of digital twin technology, contributing to intelligent manufacture, intelligent medical care, and cultural relics protection.

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