PhD in 3D-printed Proprioceptive Materials with Integrated Active Feedback Systems for Real-time Shape Optimisation

Sponsor Company: DSTL

Start Date: Ongoing

Project Page – Centre

Project Overview

This PhD research proposal aims to design, fabricate, and characterise proprioceptive materials integrated with active feedback systems for real-time shape optimisation in defence applications. Using 3D printing technologies, the project focuses on the development of a specific device featuring shape memory alloys and electroactive polymers as proprioceptive materials. These materials will be printed with integrated sensors to form a cohesive, structurally robust system.

The process of shape optimisation will be implemented through a highly integrated, closed-loop feedback system within the material structure, utilising advanced algorithms to interpret sensor data and adapt the material’s shape accordingly. The integration of sensors, actuators, and microcontrollers within, e.g. the PVDF matrix, using precise spatial arrangement provided by AM would provide unparalleled control over the material’s mechanical and functional properties, thus facilitating the creation of complex geometries and multi-functional structures with specific behavioural traits.

Through an iterative design process and algorithmic advancements, the research targeting a real-world device. Employing a range of state-of-the- art equipment for material characterisation and sensor evaluation, the project is set to deliver innovative contributions to the field of smart materials and systems.

Essential and Desirable Student background Criteria

Essential criteria:

• Degree in materials science, Engineering, Physics, or related field.
• Experience with additive manufacturing technologies.
• Basic understanding of material properties and characterisation techniques.

Desirable:

• Familiarity with shape memory alloys and electroactive polymers.
• Knowledge of sensor integration and feedback control systems.
• Knowledge of CAD software and simulation tools.

Funding and Eligibility

Available to eligible home fee status and UK domicile EU students

Key Information

Funding Duration: 3.5 years

Supervisors: Dr Dmitry Isakov & Prof Greg Gibbons

Research Group: Additive Manufacturing

Subject Areas:

• Mechatronics
• Control Systems
• Integrated Engineering
• Manufacturing Engineering
• Polymers
• Experimental Physics
• Solid State Physics

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