Title :
Large-Deformation Analysis and Experimental Validation of a Flexure-Based Mobile Sensor Node
Author :
Guo, Jiajie ; Lee, Kok-Meng ; Zhu, Dapeng ; Yi, Xiaohua ; Wang, Yang
Author_Institution :
George W. Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper presents a new magnetic wall-climbing car as a mobile sensor node for health monitoring and dynamic testing of large civil (ferromagnetic) structures. Unlike traditional design, where the distance between the front and rear wheel pairs is fixed, the electromagnetically driven compliant beam connecting the axles not only offers an effective means to negotiate corners when maneuvering on ferromagnetic surfaces, but also serves as a sensor attachment device. Specifically, this paper presents the design concept of a novel magnetic flexonic mobile node incorporating a compliant beam and permanent magnets, and a 2-D model for simulating the deformed shape of the compliant beam. Simulation results show that there exist consistent relations between input/output displacements and rotation angle for control implementation in sensor attachment and corner negotiation regardless of gravity direction or the critical force for buckling. Experiment results are also provided to validate the theoretical model and compare with the analysis for sensor attachment and corner negotiation.
Keywords :
bending; buckling; condition monitoring; dynamic testing; ferromagnetic materials; mobile robots; structural engineering; walls; wireless sensor networks; buckling; civil ferromagnetic structures; corner negotiation; dynamic testing; electromagnetically driven compliant beam; ferromagnetic surfaces; flexure-based mobile sensor node; health monitoring; large-deformation analysis; magnetic flexonic mobile node; magnetic wall-climbing car; permanent magnets; sensor attachment; Axles; Gravity; Load modeling; Mobile robots; Robot kinematics; Robot sensing systems; Buckling; compliant mechanism; constraint; flexible (mobile) robot; flexible structure; large deformation; sensor network;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2011.2107579