Style: Teamwork; Collective
This class is graded P/D/F. To pass, you must: (i) attend all the cleanroom sessions, (ii) work in a team setting, and (iii) finalize your image processing for the image contest, (iv) write a scientific paper/article on the research findings as a team, and (v) demo the final device functionally. By the end of Class #1, students must decide whether to register or drop the course.
Overview: Decoders 1.8 builds on the combination of knowledge and skills learned in D1.0 and D1.7, respectively to guide students to develop their own mechanically adaptive (i.e., stretchable & flexible) piezoelectric systems. Students will learn how to write an article about their research findings that will be published on the course website by the end of semester. The midterm project is to submit an image of a process and/or a device component with an artistic/personal view. Students show how their personality reflects on projects and more broadly to make potential changes on the society. The images can be edited using any software such as Photoshop to reflect social and emotional vision with the device part. Recognitions are given to all images (e.g., ‘The best color’) at the Image Contest. The mini videos taken by students throughout the semester result in the final video of the project development.
Cleanroom (YellowBox) open hours will be held on Tuesdays from 10am-12pm.
1. To work in a team setting and accomplish the task of building a mechanically adaptive device,
2. To use the lens of creativity and social change to produce images of device parts with a social message,
3. To write a scientific paper/article on the research findings as a team,
4. Demo the final device functionally.
Fernandez, S. V., Cai, F., Chen, S., Suh, E., Tiepelt, J., McIntosh, R., Marcus, C., Acosta, D., Mejorado, D., Dagdeviren, C.†, “On-Body Energy Harvesters Through Innovative Designs and Conformable Structures”, ACS Biomaterials Science & Engineering, https://doi.org/10.1021/acsbiomaterials.1c00800, 2021. [Invited Review Paper for Special Issue].
Zhao, H., Dagdeviren, C., Liu, G., Cao, P., Wang, J., Sha, B., Wang, G., Cui, J., Su, Y., “A New Model Based on the in-plane Deformation for the Conformable Piezoelectric Systems for Characterization of Soft Tissue Modulus”, https://doi.org/10.1016/j.eml.2022.101801, Extreme Mechanics Letter, 2022.