Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Armin Yazdi"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5739 (2024)
This paper presents a recent investigation into the electromechanical behavior of thermally reduced graphene oxide (rGO) as a strain sensor undergoing repeated large mechanical strains up to 20.72%, with electrical signal output measurement in multip
Externí odkaz:
https://doaj.org/article/534543d511694a6199fd47639890da93
Publikováno v:
ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems.
This paper presents a recent investigation into sensing and measurement of large strain (>10%) based on variation in electrical resistance of reduced graphene oxide. Sensing and measurement of large strain is of great interest for highly flexible and
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9783031073212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600c2d06db89e1c54e5a46d38f8311ed
https://doi.org/10.1007/978-3-031-07322-9_97
https://doi.org/10.1007/978-3-031-07322-9_97
Autor:
Muhammad Istiaque Haider, Maysam Rezaee, Ehsan Sanatizadeh, Armin Yazdi, Li Chih Tsai, Nathan Salowitz
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
The adhesion strength of thin films is critical to the durability of micro and nanofabricated devices. However, current testing methods are imprecise and do not produce quantitative results necessary for design specifications. The most common testing
Publikováno v:
ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems.
Recent research has revealed that Nickel Titanium (NiTi) shape memory alloys can produce residual stresses after undergoing constrained recovery and returning to their low temperature, martensitic state while still constrained. The nature and underly
Publikováno v:
ASME 2019 Conference on Smart Materials, Adaptive Structures and Intelligent Systems.
Thin film and micro-fabricated devices are increasingly being used in actuators, sensors, and processors deployed in smart materials. The physical survival of these devices is paramount to their usefulness but existing methods for testing and analysi
Autor:
Nathan Salowitz, Li Chih Tsai, Muhammad Istiaque Haider, Armin Yazdi, Azam Elyasigorji, Maysam Rezaee
Publikováno v:
Engineering Fracture Mechanics. 243:107525
This paper proposes a method to characterize the failure modes of rGO 1 -based devices using a controlled peel test. Analysis of the detached rGO particles from the substrate during testing was performed with an image processing technique and results
Publikováno v:
Smart Materials and Structures. 28:105044
Publikováno v:
Smart Materials & Structures; Oct2019, Vol. 28 Issue 10, p1-1, 1p