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Designing Freeform Trajectories through Acoustic Streaming and Artificial Intelligence
The manipulation of materials and fluids through acoustic streaming has emerged as a powerful technique with applications in manufacturing and biomedical engineering. This method utilizes sound waves to control the movement of particles within a fluid, offering precise and non-invasive manipulation. However, achieving freeform path manipulation—guiding materials along complex, non-linear trajectories—remains a significant challenge due to difficulties in controlling the influence range and vortex dynamics of acoustic streaming. Traditional methods often struggle with maintaining precision and stability along intricate paths, as the non-uniform distribution of acoustic forces complicates consistent directionality. Artificial Intelligence (AI) presents a promising solution, enabling real-time control and optimization of these systems. By integrating AI with acoustic streaming, algorithms can analyze and predict the interactions between acoustic forces and fluid dynamics, allowing for dynamic adjustments that enhance accuracy.
In this thesis, we propose addressing these challenges by implementing a pillar array of acoustic actuators coupled with AI-driven control systems. The pillar array will generate and modulate acoustic streaming fields, while AI will optimize and automate their control in real time. This integration aims to improve the precision of freeform path manipulation, facilitating the creation of complex patterns that are otherwise difficult to achieve, thereby expanding the possibilities for material manipulation across various applications.
Keywords: Freeform path; Manipulation; Ultrasound; pillar array; AI
This explores the integration of microstructures, acoustic streaming and artificial intelligence (AI) for advanced freeform path manipulation. Acoustic streaming is potential in managing the manipulation necessary for precise freeform paths. AI presents a solution by enabling real-time control and optimization of acoustic fields. Our approach utilizes a pillar array to generate and modulate acoustic fields, with AI algorithms to automate and refine control. The objective will be developing the lab-on-chip platform and control the manipulation of freeform path.
This explores the integration of microstructures, acoustic streaming and artificial intelligence (AI) for advanced freeform path manipulation. Acoustic streaming is potential in managing the manipulation necessary for precise freeform paths. AI presents a solution by enabling real-time control and optimization of acoustic fields. Our approach utilizes a pillar array to generate and modulate acoustic fields, with AI algorithms to automate and refine control. The objective will be developing the lab-on-chip platform and control the manipulation of freeform path.
Goal
1. Set Up the Acoustic Manipulation System and Microfluidic System (Almost Done)
- Acoustic Manipulation: Calibrate transducers for optimal sound wave generation and test frequencies/amplitudes.
2. Set Up the Manipulation and AI System
- Manipulation System: Create a real-time control of acoustic and microfluidic systems, including feedback mechanisms for monitoring efficacy.
- AI Integration: Develop algorithms for data analysis and collaborate with our colleague to validate integration through testing.
3. Optimize Trapping Conditions and Realize Precise Manipulation
- Optimization: Experiment with acoustic parameters.
- Precise Manipulation: Implement a control method for directing movements along custom paths, utilizing tracking algorithms for real-time adjustments and documenting performance for refinement.
Goal 1. Set Up the Acoustic Manipulation System and Microfluidic System (Almost Done) - Acoustic Manipulation: Calibrate transducers for optimal sound wave generation and test frequencies/amplitudes. 2. Set Up the Manipulation and AI System - Manipulation System: Create a real-time control of acoustic and microfluidic systems, including feedback mechanisms for monitoring efficacy. - AI Integration: Develop algorithms for data analysis and collaborate with our colleague to validate integration through testing. 3. Optimize Trapping Conditions and Realize Precise Manipulation - Optimization: Experiment with acoustic parameters. - Precise Manipulation: Implement a control method for directing movements along custom paths, utilizing tracking algorithms for real-time adjustments and documenting performance for refinement.
Please send your CV and transcript of records to Yong Deng: dengyo@ethz.ch and Prof. Dr. Daniel Ahmed: dahmed@ethz.ch, Acoustic Robotics Systems Lab. Department of Mechanical and Process Engineering (D-MAVT). RSA G 324, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.
Website: https://arsl.ethz.ch/
Please send your CV and transcript of records to Yong Deng: dengyo@ethz.ch and Prof. Dr. Daniel Ahmed: dahmed@ethz.ch, Acoustic Robotics Systems Lab. Department of Mechanical and Process Engineering (D-MAVT). RSA G 324, Säumerstrasse 4, 8803 Rüschlikon, Switzerland. Website: https://arsl.ethz.ch/