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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62098
Volume:
10 |
4 |
April 2026
Pages:
1-12
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Mechanical Engineering
Government Engineering College, Jamui
As the Internet of Things (IoT) expands, the reliance on chemical batteries presents significant environmental and maintenance challenges for remote wireless sensor nodes. This paper investigates the design, modeling, and performance optimization of a high-sensitivity piezoelectric cantilever beam tailored for low-frequency (10–60 Hz) ambient vibrations. Utilizing a Lead Zirconate Titanate (PZT-5H) active layer on a stainless steel substrate, the study employs a Single-Degree-of-Freedom (SDOF) analytical model validated through Finite Element Analysis (FEA). A key focus is placed on the frequency-tuning capabilities of a movable tungsten proof mass, which allows the system to achieve resonance across a 20% broader bandwidth than fixed-mass designs. Experimental simulations demonstrate that under a base acceleration of 0.5g at a resonant frequency of 50 Hz, the harvester generates an open-circuit peak voltage of 18.4V. When integrated with an LTC3588-1 impedance-matching circuit, the system delivers a rectified output power of 420 µW across a 100 kΩ optimal load. These results indicate that the proposed harvester can provide a continuous power supply for ultra-low-power microcontrollers and BLE modules, effectively enabling battery-less autonomous sensing in industrial and civil infrastructure environments." Results indicate that matching the beam’s resonant frequency to the source vibration via a tunable proof mass significantly increases power density.
KEYWORDS
This research successfully demonstrated the design and optimization of a tunable piezoelectric cantilever energy harvester capable of converting low-frequency ambient vibrations into regulated DC power. By carefully tuning the proof mass and optimizing the power management circuit, the system can eliminate the need for battery replacements in remote sensing applications. By integrating mechanical structural optimization with advanced power management, several key milestones were achieved: · Performance Benchmarking: The proposed trapezoidal PZT-5H harvester achieved a peak power output of 420 µW at a resonant frequency of 48.5 Hz. This power density is sufficient to drive modern ultra-low-power wireless sensors, effectively bridging the "Power Gap" in industrial IoT applications. · Adaptability via Tuning: The inclusion of a movable tungsten proof mass allowed for a 16 Hz tuning bandwidth. This flexibility ensures that the harvester remains effective even when the vibration source undergoes frequency shifts due to load changes or mechanical wear, solving one of the primary limitations of traditional fixed-frequency harvesters. · System Efficiency: The use of the LTC3588-1 buck converter proved essential for high-impedance matching. The system demonstrated a reliable "cold-start" capability, reaching functional voltage in under two minutes, and sustained a periodic data transmission duty cycle of 22 seconds. · Structural Integrity: Long-term fatigue testing (10 million cycles) confirmed that the stainless steel substrate provides the necessary durability for industrial deployment, maintaining 98% of its initial power efficiency.
[1] Erturk, A., & Inman, D. J. (2011). Piezoelectric Energy Harvesting. John Wiley & Sons. [2] Erturk, A., & Inman, D. J. (2008). "On mechanical modeling of cantilevered piezoelectric vibration energy harvesters." Journal of Intelligent Material Systems and Structures, 19(11), 1311-1325. [3] Smits, J. G., & Choi, W. S. (1991). "The constituent equations of piezoelectric heterogeneous bimorphs." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 38(3), 256-270. [4] Erturk, A., & Inman, D. J. (2011). Piezoelectric Energy Harvesting. John Wiley & Sons. (The primary textbook for mathematical modeling of cantilever harvesters). [5] Beeby, S. P., & O'Donnell, T. (2006). "Energy Harvesting Foundations and Applications." In: Measurement and Control. (Covers the basics of vibration sources). [6] Zhang, Y., et al. (2025). "Optimization of Trapezoidal Cantilever Beams for High-Strain Piezoelectric Energy Scavenging." Journal of Intelligent Material Systems and Structures, 36(2), 145–158. (Relevant to your trapezoidal design). [7] Kumar, S., & Lee, H. (2024). "Broadband Vibration Energy Harvesting using Nonlinear Magnetic Coupling: A 2026 Perspective." Mechanical Systems and Signal Processing, 182, 110–125. (Covers the future trends mentioned in your Conclusion). [8] Chen, X. (2026). "AI-Driven Real-Time Frequency Tuning for Piezoelectric Energy Harvesters in Smart Factories." IEEE Transactions on Industrial Electronics, 73(4), 3102–3115. (Covers the smart tuning mentioned in Section 5). [9] Bhatnagar, R., et al. (2025). "Piezoelectric Energy Harvesting: From Fundamentals to Advanced Applications." Energy Technology, 13(1), 2401455. [10] Wu, F., et al. (2025). "Theoretical and experimental study of a piezoelectric energy harvester with a S-shaped cantilever beam." Journal of Mechanical Science and Technology, 39, 7319–7327.
Publication Date
4/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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