Piezoelectric microphone via a DLP process

Dataset

Description

In nature sensors possess complex interlocking 3D structures and extremely localized material properties that allow processing of incredibly complex information in a small space. Acoustic sensor design is limited by fabrication processes, often MEMS based, where there is limited scope for fully 3D creations due to planer fabrication methods. Here we investigate the application of 3D printing via digital light processing (DLP) to integrate piezoelectric, conductive and structural polymer layers to create a complete electro-mechanical device. We demonstrate a working piezoelectric acoustic sensor, capable of sending electric signals that can be picked up by pre-amp circuitry fabricated using a commercially available 3D printer. We show that the 3D printing of mechanically sensitive membranes with thicknesses down to 35 $\mu m$ and tunable resonant frequencies is possible and further show it is possible to create a fully working electro-acoustic device by embedding 3D printed piezoelectric and conductive parts. Realizing this design opens up the possibility of generating truly 3D structured functional prints that may be used in bio-inspired design.
Date made available15 Jan 2019
PublisherUniversity of Strathclyde
Date of data production31 Mar 2017 - 1 Sep 2018

Cite this

Reid, A. B. (Creator), Tiller, B. (Creator). (15 Jan 2019). Piezoelectric microphone via a DLP process. University of Strathclyde. number_23_all_points_acoustic_response_plus_reff(.zip), number_23_all_points_acoustic_response_reff_mag(.zip), number_23_all_points_acoustic_response(.zip), number_23_all_points_driven_magnitude(.zip), number_23_all_points_driven(.zip), results_in_excel_matlab_friendly(.xlsx), Recordings_3dsensor(.zip), data_for_last_figures(.zip), d33_Pagda_batio3(.xlsx), 20180516_101940(.jpg), 20180516_101914(.jpg), correction_factor_data(.xlsx), piezo_composists_lab_diary(.xlsx), Copy_of_frequency_response_of_composite_this_one_only(.xlsx), Mechanical_testing_raw_data(.zip), notes_on_optimization_study_from_19th_may_2016_(.xlsx). 10.15129/f7d88ee2-14a9-42be-b3a8-54e7086f6e5e