Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912459341692928 |
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| author | Amoudruz, Lucas Karnakov, Petr Koumoutsakos, Petros |
| author_facet | Amoudruz, Lucas Karnakov, Petr Koumoutsakos, Petros |
| contents | Contactless manipulation of small objects is essential for biomedical and chemical applications, such as cell analysis, assisted fertilisation, and precision chemistry. Established methods, including optical, acoustic, and magnetic tweezers, are now complemented by flow control techniques that use flow-induced motion to enable precise and versatile manipulation. However, trapping multiple particles in fluid remains a challenge. This study introduces a novel control algorithm capable of steering multiple particles in flow. The system uses rotating disks to generate flow fields that transport particles to precise locations. Disk rotations are governed by a feedback control policy based on the Optimising a Discrete Loss (ODIL) framework, which combines fluid dynamics equations with path objectives into a single loss function. Our experiments, conducted in both simulations and with the physical device, demonstrate the capability of the approach to transport two beads simultaneously to predefined locations, advancing robust contactless particle manipulation for biomedical applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15958 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls Amoudruz, Lucas Karnakov, Petr Koumoutsakos, Petros Fluid Dynamics Machine Learning Robotics Contactless manipulation of small objects is essential for biomedical and chemical applications, such as cell analysis, assisted fertilisation, and precision chemistry. Established methods, including optical, acoustic, and magnetic tweezers, are now complemented by flow control techniques that use flow-induced motion to enable precise and versatile manipulation. However, trapping multiple particles in fluid remains a challenge. This study introduces a novel control algorithm capable of steering multiple particles in flow. The system uses rotating disks to generate flow fields that transport particles to precise locations. Disk rotations are governed by a feedback control policy based on the Optimising a Discrete Loss (ODIL) framework, which combines fluid dynamics equations with path objectives into a single loss function. Our experiments, conducted in both simulations and with the physical device, demonstrate the capability of the approach to transport two beads simultaneously to predefined locations, advancing robust contactless particle manipulation for biomedical applications. |
| title | Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls |
| topic | Fluid Dynamics Machine Learning Robotics |
| url | https://arxiv.org/abs/2506.15958 |