This work designed and implemented a new low-cost, Internet of Things-oriented, wireless smart sensor prototype to measure mechanical strain. The research effort explores the use of smart materials as transducers, e.g., a magnetorheological elastomer as an electrical-resistance sensor, and a cantilever beam with piezoelectric sensors to harvest energy from vibrations. The study includes subsequent and validated results with a magnetorheological elastomer transducer that contained multiwall carbon nanotubes with iron particles, generated voltage tests from an energy-harvesting system that functions with an array of piezoelectric sensors embedded in a rubber-based cantilever beam, wireless communication to send data from the sensor's central processing unit towards a website that displays and stores the handled data, and an integrated manufactured prototype. Experiments showed that electrical-resistivity variation versus measured strain, and the voltage-generation capability from vibrations have the potential to be employed in smart sensors that could be integrated into commercial solutions to measure strain in automotive and aircraft systems, and civil structures. The reported experiments included cloud-computing capabilities towards a potential Internet of Things application of the smart sensor in the context of monitoring automotive-chassis vibrations and airfoil damage for further analysis and diagnostics, and in general structural-health-monitoring applications.
Bibliographical noteFunding Information:
Funding: Authors are grateful to Tecnologico de Monterrey, through Campus City Research and Technology for funding the publication cost of this research.
Authors are grateful to Tecnologico de Monterrey, through Campus City Research and Technology for funding the publication cost of this research. The authors are grateful to Universidad de Monterrey, through the Center for Innovation in the Design of Packaging, ABRE for allowing the tensile, compression, and energy-harvesting tests to be carried out in its laboratories. Moreover, the authors would like to thank all the undergraduate students for their participation and commitment to carrying out the experiment work of this research. The authors are also grateful to the Metalsa company for its collaboration in carrying out this work.
© 2020 by the authors.
All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Process Chemistry and Technology
- Computer Science Applications
- Fluid Flow and Transfer Processes