Stanford Advisors


All Publications


  • Design and Integration of a Wireless Stretchable Multimodal Sensor Network in a Composite Wing. Sensors (Basel, Switzerland) Chen, X., Maxwell, L., Li, F., Kumar, A., Ransom, E., Topac, T., Lee, S., Faisal Haider, M., Dardona, S., Chang, F. 2020; 20 (9)

    Abstract

    This article presents the development of a stretchable sensor network with high signal-to-noise ratio and measurement accuracy for real-time distributed sensing and remote monitoring. The described sensor network was designed as an island-and-serpentine type network comprising a grid of sensor "islands" connected by interconnecting "serpentines." A novel high-yield manufacturing process was developed to fabricate networks on recyclable 4-inch wafers at a low cost. The resulting stretched sensor network has 17 distributed and functionalized sensing nodes with low tolerance and high resolution. The sensor network includes Piezoelectric (PZT), Strain Gauge (SG), and Resistive Temperature Detector (RTD) sensors. The design and development of a flexible frame with signal conditioning, data acquisition, and wireless data transmission electronics for the stretchable sensor network are also presented. The primary purpose of the frame subsystem is to convert sensor signals into meaningful data, which are displayed in real-time for an end-user to view and analyze. The challenges and demonstrated successes in developing this new system are demonstrated, including (a) developing separate signal conditioning circuitry and components for all three sensor types (b) enabling simultaneous sampling for PZT sensors for impact detection and (c) configuration of firmware/software for correct system operation. The network was expanded with an in-house developed automated stretch machine to expand it to cover the desired area. The released and stretched network was laminated into an aerospace composite wing with edge-mount electronics for signal conditioning, processing, power, and wireless communication.

    View details for DOI 10.3390/s20092528

    View details for PubMedID 32365628

  • Recent Advances in Piezoelectric Wafer Active Sensors for Structural Health Monitoring Applications SENSORS Mei, H., Haider, M., Joseph, R., Migot, A., Giurgiutiu, V. 2019; 19 (2)

    Abstract

    In this paper, some recent piezoelectric wafer active sensors (PWAS) progress achieved in our laboratory for active materials and smart structures (LAMSS) at the University of South Carolina: http: //www.me.sc.edu/research/lamss/ group is presented. First, the characterization of the PWAS materials shows that no significant change in the microstructure after exposure to high temperature and nuclear radiation, and the PWAS transducer can be used in harsh environments for structural health monitoring (SHM) applications. Next, PWAS active sensing of various damage types in aluminum and composite structures are explored. PWAS transducers can successfully detect the simulated crack and corrosion damage in aluminum plates through the wavefield analysis, and the simulated delamination damage in composite plates through the damage imaging method. Finally, the novel use of PWAS transducers as acoustic emission (AE) sensors for in situ AE detection during fatigue crack growth is presented. The time of arrival of AE signals at multiple PWAS transducers confirms that the AE signals are originating from the crack, and that the amplitude decay due to geometric spreading is observed.

    View details for DOI 10.3390/s19020383

    View details for Web of Science ID 000458569300166

    View details for PubMedID 30669307

    View details for PubMedCentralID PMC6358765

  • Analysis of axis symmetric circular crested elastic wave generated during crack propagation in a plate: A Helmholtz potential technique INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES Haider, M., Giurgiutiu, V. 2018; 134: 130–50
  • Irreversibility effects in piezoelectric wafer active sensors after exposure to high temperature SMART MATERIALS AND STRUCTURES Haider, M., Giurgiutiu, V., Lin, B., Yu, L. 2017; 26 (9)