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Additive Manufactured Strain Sensor Using Stereolithography Method with Photopolymer Material
Ishak Ertugrul1, Osman Ulkir2, Sezgin Ersoy3
1Department of Mathematical Modelling, Kaunas University of Technology, 44138 Kaunas, Lithuania.
Polymers
|February 28, 2023
Summary
This study developed a 3D-printed strain sensor using flexible and conductive photopolymer resins. The sensor demonstrates a linear response and suitability for soft applications, showcasing additive manufacturing advancements.
Area of Science:
- Materials Science
- Mechanical Engineering
- Additive Manufacturing
Background:
- Additive manufacturing (AM) technologies, including 3D printing, are evolving beyond rapid prototyping to large-scale production.
- Strain sensors are crucial for monitoring deformation in various applications, particularly in soft materials where traditional sensors are unsuitable.
Purpose of the Study:
- To fabricate and experimentally evaluate a novel 3D-printed strain sensor for direct use in soft applications.
- To investigate the material properties and performance characteristics of the 3D-printed strain sensor.
Main Methods:
- Fabrication of a 2 mm thick strain sensor using a Stereolithography (SLA) 3D printer.
- Utilized photopolymer-based flexible and conductive ultraviolet (UV) resin materials for sensor construction.
- Conducted experimental studies under loading/unloading conditions and tensile tests on material specimens.
Main Results:
- A close linear relationship was observed between the strain applied to the sensor and its measured resistance.
- Tensile strength data provides insights into the sensor's mechanical behavior and placement suitability.
- The flexible nature of the 3D-printed sensor confirms its potential for diverse soft applications.
Conclusions:
- The developed 3D-printed strain sensor is a viable option for soft applications due to its linear response and flexible structure.
- Additive manufacturing, specifically SLA, enables the creation of functional sensors with tailored material properties.
- Further characterization of tensile strength is essential for optimizing sensor integration in specific soft systems.

