An exact solution that investigates the pre-buckling characteristics of nonlocal carbon nanotube (CNT)-based mass sensor subjected to thermal load under clamped-clamped boundary condition is determined. The uniform temperature rise is utilized to study thermal effects on the sensitivity of the mechanical resonator in pre-buckling configuration. Using Eringen’s nonlocal theory, along with the Hamilton’s principle, the governing equations considering small scale and geometric nonlinearity are derived. The influences of important parameters including nonlocal parameter, temperature change, length, and diameter of the CNT on the pre-buckling behavior and frequency shift of the CNT-based mass detector are also studied. Results show that these parameters have significant impact on the dynamic characteristics of the CNT-mass sensor.
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ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 10–12, 2018
San Antonio, Texas, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5195-1
PROCEEDINGS PAPER
Nonlocal Modeling and Behavior of Carbon Nanotube-Based Sensors in Thermal Environment
Seyedeh Sepideh Ghaffari,
Seyedeh Sepideh Ghaffari
New Mexico State University, Las Cruces, NM
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Samantha Ceballes,
Samantha Ceballes
New Mexico State University, Las Cruces, NM
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Abdessattar Abdelkefi
Abdessattar Abdelkefi
New Mexico State University, Las Cruces, NM
Search for other works by this author on:
Seyedeh Sepideh Ghaffari
New Mexico State University, Las Cruces, NM
Samantha Ceballes
New Mexico State University, Las Cruces, NM
Abdessattar Abdelkefi
New Mexico State University, Las Cruces, NM
Paper No:
SMASIS2018-7987, V002T02A004; 10 pages
Published Online:
November 14, 2018
Citation
Ghaffari, SS, Ceballes, S, & Abdelkefi, A. "Nonlocal Modeling and Behavior of Carbon Nanotube-Based Sensors in Thermal Environment." Proceedings of the ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting; Emerging Technologies. San Antonio, Texas, USA. September 10–12, 2018. V002T02A004. ASME. https://doi.org/10.1115/SMASIS2018-7987
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