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Surface tension‐based alignment of microfibers on hydrophilic–superhydrophobic grooved surfaces

  • Bo Chang*
  • , Jialong Jin
  • , Quan Zhou
  • *Tämän työn vastaava kirjoittaja
  • Shaanxi University of Science and Technology

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

8 Sitaatiot (Scopus)
323 Lataukset (Pure)

Abstrakti

Alignment and orderly distribution of microfibers have a major effect on the mechanical, electrical, and thermal properties of the fiber reinforced materials, biomimetic materials, and soft microsensors. However, it is still a challenging task to precisely align and distribute microfibers and construct complex patterns. This paper proposes a surface tension‐based method to align and orderly distribute microfibers. A model was developed to simulate the surface tension driven alignment of the microfiber. We designed and fabricated hydrophilic–superhydrophobic grooved surfaces. We demonstrated that the microfibers can self‐align to the hydrophilic–superhydrophobic grooves with different geometries. We studied the influence of the volume of the droplet and bias on the alignment success rate. The results indicate that the process can tolerate large variations of the bias and the volume, unless the volume is not enough to cover the groove. We further investigated the influence of the width of the groove on the alignment accuracy. The results show that the alignment accuracy is largely depending on the size difference between the groove and the microfiber; the better the size of the groove matches the size of the fiber, the higher the alignment accuracy will be achieved. The proposed method has great potential in construction of complex microstructures using microfibers.

AlkuperäiskieliEnglanti
Artikkeli973
Sivumäärä11
JulkaisuMicromachines
Vuosikerta11
Numero11
DOI - pysyväislinkit
TilaJulkaistu - marrask. 2020
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

Funding: This research was funded by the National Natural Science Foundation of China (grant no. 61703255) and the Academy of Finland (Grant No. 296250).

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