Method and experiment of self-calibration micro-components based on droplet array

Zhang, Qin; Jin, Sanli; Hu, Yan

doi:10.1109/robio55434.2022.10011687

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…When the droplet manipulator operating surface is in contact with the micro-component, the micro-component will be quickly and automatically aligned with the manipulator end surface position attitude driven by the recovery force of the liquid bridge. The literature [7] further proposes a self-calibration method for micro-components based on droplet array, through which droplet array can be constructed with different shape droplet combinations to meet the self-calibration requirements of different shapes and sizes of sheet micro-components. Building upon the previous research, this paper further analyzes the self-calibration process and the impact of droplet array parameters and micro-component parameters on calibration performance.…”

Section: Introductionmentioning

confidence: 99%

Self-calibration performance analysis of sheet micro-components based on droplet array

Yan,

Qin,

Shen

2024

J. Phys.: Conf. Ser.

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The droplet array-based micro-component self-calibration method features simple operation, easy batch control implementation, and holds great promise in the field of micro-assembly. The paper investigates the self-calibration process, analyzes the factors influencing self-calibration performance, discusses self-calibration errors, self-calibration range, and their relationship with micro-component parameters, droplet array parameters, and fluid parameters, and proposes a construction method suitable for droplet arrays suitable for micro-components. The research results indicate that the self-calibration error and calibration range of micro-components are related to micro-component parameters, substrate array parameters, and droplet parameters. When the micro-component size is greater than or equal to the droplet array size, the self-calibration error is relatively small. Constructing an appropriate droplet array based on the size and shape of the micro-components can reduce self-calibration errors and meet the self-calibration accuracy requirements for micro-components of varying sizes and shapes.

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Section: Introductionmentioning

confidence: 99%