Effect of major factors on broadband natural frequency energy harvesting for rectangular and L- shaped cantilever harvesters

Researchers, in the energy harvesting field, are getting more interested in vibration energy harvesting due to its significant effect on harvested energy. The harvested energy can be utilized in structural health observing applications to provide the wireless sensors, actuators, and small electronic instruments with the required power. Our aim in this work is to broaden the operating natural frequency and maximize the harvested power. If we can broaden the natural frequency to maximize the power, the batteries may be substituted. Also, the maintenance time and effort can be reduced. In 1995 Williams and Yates (Williams and Yates 1995) discovered the energy harvesting of vibration, designed and modified (Williams and Yates 1996) a base excitation model that presents electrical output power from energy harvesting.

Much research, in the field of natural frequency broadening, was devoted to enlarging the frequency range and increasing the efficiency of the harvester. For example, Liu et al. (Andrzej and Krzysztof 2016) established a stopper for a high natural frequency cantilever to harvest the energy. This stopper can convert the external random vibration to a self-vibration. The advantages of this harvester were to broaden the frequency range and increase the harvested power. Also, Huicong et al. (Lumentut and Howard 2013) created an experimental and analytical broadband frequency study. Their harvester was a cantilever with two side stoppers. Also, the parameters such as the base excitation acceleration, damping ratio, frequency features, and stopper distance were included. Liu et al. (Roundy et al. 2003) investigated the methodology to broaden the frequency using the aspects of frequency up-conversion. Chen et al. (Chen et al. 2013) used the band gap phenomena to enlarge the natural frequency band. Also, the effects of various parameters on the natural frequency band gap were investigated. Another broad band natural frequency technique is using a group of graded array harvesters to produce graded natural frequencies, thus broad band natural frequency (Yildirim et al. 2017; Song et al. 2018; Liu et al. 2008; Ferrari et al. 2008; Lien and Shu 2012). Li et al. (Lia et al. 2020) developed a broadband bending-torsion L-shaped device. Cao (Cao et al. 2019) proved that the operating frequency bandwidth can be widened by increasing the stiffness of the fundamental layer and decreasing the gap distance of the system, but the increase in operating frequency bandwidth came at the cost of reducing peak voltage. Wu and Lee (Wu and Lee 2019) presented a unique design of the folded harvester to collect ambient vibrational energy over a wide frequency bandwidth for the operation of battery‐free electronic devices. Moon et al. (Moon et al. 2018) enlarged the broadband using two masses; the first was the tuned-proof mass and the second was a conventional-proof one. Ceponis et al. (Ceponis et al. 2019) designed harvesters to harvest energy from the vibrating base in two directions to broaden the natural frequency. Shin et al. (Shin et al. 2020) demonstrated an ultra-wide bandwidth harvester with the automatic resonance tuning (ART) phenomenon. They employed this ART to adjust the harvester's natural frequency to tune the ambient vibration without the need for an external source. Khazaee et al. (Khazaee et al. 2020) presented a creative concept using geometry and material lay-up of piezoelectric energy harvesters to enhance the output power and widen the frequency. Liu et al. (Liu et al. 2012) developed an s-shape piezoelectric cantilever, with a very low and broad natural frequency, to be used with energy sources of frequencies under 30 Hz. Liu et al. (Liu et al. 2011) described the design of a microfabrication harvester and its measurements to harvest the energy of low-frequency vibration applications.

Recently, excessive research was introduced in the field of piezoelectric energy harvesting. Lafarge et al. (Lafarge et al. 2018) utilized the Bond-Graph approach to validate the simulation of the piezoelectric cantilever beams that were used to harvest a vehicle suspension vibration. Ramírez et al. (Ramírez et al. 2018) investigated an energy harvester to operate in a very low-frequency bandwidth (3–10 Hz). Hong et al. (Hong et al. 2018) studied the influence of the neutral plane on the generated power of the piezoelectric harvester. Song et al. (Song et al. 2017a) optimized the Polyvinylidene Fluoride (PVDF)-based cantilever with harvester geometry adjustment to control the stresses. Iannacci (Iannacci 2017) presented a review of the area of energy harvesting—Microelectromechanical Systems (MEMS), with a specific concentration on vibration energy harvesting, especially, the piezoelectric harvester that is utilized in vibration energy sources. Mohamed et al. (Mohamed et al. 2021) utilized the COMSOL optimization module (BOBYQA solver) and the genetic algorithm to optimize the shape of the energy-harvesting piezoelectric cantilever to maximize the output power. Kouritem et al. (Kouritem et al. 2022) introduced a broadband technique using the tuning of passive masses on an array of the piezoelectric energy harvester. The introduced solution can manage the lowering of the power between the peaks. Bani-Hani et al. (Bani-Hani et al. 2022) designed a sensor of 17 harvesters to sense the vibrations resulting from an Earthquake excited in the frequency range (1–17 Hz). Kouritem et al. (Kouritem et al. 2022b; Kouritem and Altabey 2022; Altabey and Kouritem 2022) utilized the Automatic Resonance Technique for a cantilever of piezoelectric to produce wideband natural frequency. Erturk and Inman (Erturk and Inman 2009) investigated experimentally and analytically a bimorph with different connections (series and parallel). Kouritem (Kouritem 2021) showed and studied the output power of the first and second-mode shapes. Bani-Hani et al. (Bani-Hani et al. 2023) proposed a Genetic Algorithm optimization technique to harvest power of Impact Force that be utilized as a sensing device, Analytical and Finite Element Investigation Naqvi et al. (Naqvi et al. 2022; Shaukat et al. 2023) presented a complete review of some vibration sources. Some parameters are optimized in this paper using the iterative optimization technique (Kouritem and Elshabasy 2021; Elshabasy and Kouritem 2020; Kouritem et al. 2022c).

The importance of natural frequency widens, is that the tuning of a piezoelectric energy harvester to a specific resonance frequency may not be an effective methodology, since most of the energy sources have a wide operating natural frequency and a small amount of variation in the excitation frequency results in a great drop in the output power. The wide (broad) band is defined by increasing the operating or resonance frequency that produces maximum power. The common disadvantage in the earlier broadband natural frequency schemes is the need for extra devices. Extra devices required, besides the harvester, like the stopper or an external magnet is essential to broaden natural frequency. Besides, the rough matching and tuning between the excitation band's natural frequency and the harvester. The drawbacks and limitations of previous studies (see Table 1) motivate us to propose our broadband natural frequency harvester, a single harvester without extra devices can be utilized to widen the natural frequency. Also, the sliding masses can be employed to change the operating broad band natural frequency. The first aim of this paper is to study the effect of the multi-mass harvester on broadband to be employed in the low natural frequency applications where many vibration sources produce a low frequency of less than 100 Hz (Roundy et al. 2003). The low natural frequencies of these sources need to broaden to highly increase the system efficiency. The second aim is to study the effect of harvester parameters like the damping ratio, thickness, and length on the output power and natural frequency bandwidth to reach the optimal design. Also, this research compares the effectiveness of the bending stress harvester and the torsion-bending harvester in both widens the natural frequency and increases the output power.

The remaining sections of the paper is as follows; the second part contains a Broadband Vibration. The third section describes L-Shaped cantilever with three concentrated masses. The fourth section presents the Effect of harvester parameters on the output power. Section five describes Finite Element Models validation. Finally, the conclusions are presented.

Broadband vibration energy harvesting using concentrated masses on a cantilever will be presented in this section. The novelty in this part is the widening of the resonant bandwidth of a piezoelectric harvester based on the values and the numbers of the concentrated masses. The effect of the masses on the vibration band gap was studied through the three models, listed below, using a COMSOL finite element simulation.

The power output depends on the resistance, inertial mass, base excitation, damping coefficient, natural frequency, capacitance, and load resistance. The equation of power, utilized in COMSOL modeling for all cases in this research, is given by Lefeuvre et al. (M. Peigney et al. 2013). The output power equation as a function in base excitation and inertial mass is expressed as:

After the reduction of the output power can be expressed as:where, \({\mathrm{\alpha }}_{2}\) represents the electromechanical coupling properties of piezoelectric materials, \({\mathrm{V}}_{\mathrm{re}}\) is the rectified voltage (V), \({\mathrm{c}}_{\mathrm{p}}\) is the capacitance (C/V), \({\mathrm{C}}_{\mathrm{V}}\) is the damping coefficient (N/ms), M is the dynamic mass (Kg), U is the base excitation (m), \({{U\omega }_{n}}^{2}\) is the base excitation (m/s²), \({\upomega }_{\mathrm{n}}\) is the natural frequency (Hz), and R is the load resistance (Ω).

The L-shaped harvester is composed of two beams, one in the x-direction and the other in the y-direction. Each beam has three layers, the top and bottom layers are from piezoelectric materials while the mid layer is copper. Also, there are three concentrated masses staked on the top layer to broadband the frequency. The L shape can be considered as both a torsional and linear spring due to the bending and the torsion stresses as represented in Fig. 10. The proposed L-shaped harvester with concentrated masses was selected to be compared with the rectangular harvester with concentrated masses and to study the effect of the combined stress on both the output power and the bandwidth frequency. Figure 10 shows the proposed L-shaped harvester with concentrated masses. Also, it reveals the first five mode shapes and their deflections. The natural frequencies of the first five mode shapes were 97.587, 284.79, 916.05, 1337.5, and 1800.1 Hz respectively. Figure 11 demonstrates the dependence of output power and voltage on the resistance to determine the optimal output power. Figure 12 shows the output power–frequency relation. The output power was 28 mW with a harvester volume of 767.2 mm³. The power per unit volume was about 41.9*10^–3 mW /mm³. These results prove that the L-shaped harvester, with concentrated masses, is not as effective as the rectangular harvester with concentrated masses. The low output power per unit volume of the L-shaped harvester is due to its lower bending stress compared with the high bending stress of the rectangular harvester with concentrated masses. The results of the previous section and this section indicate that the rectangular harvester cantilever with concentrated masses is more effective than the L- shaped and this effect increases with the increase of the concentrated masses number.

In this section, a harvester with six concentrated masses is employed to study the effects of harvester parameters on the output power. Four parameters were chosen for the power optimization process: length, the thickness of the mass, the thickness of the piezoelectric layer, and the damping ratio. The effects of controlling the four parameters on the output power are demonstrated in Figs. 13, 14, 15, and 16. It is observed from results in Figs. 13 and 14 that, the increase of beam length and mass height increases the bending stress and thus the output power. Figures 15 and 16 results prove that the increase in piezoelectric thickness and damping ratio decreases the output power and bandwidth frequency. Also, they indicate that the increase of the piezoelectric thickness decreases the bending stress and that the four parameters influence the output power effectively. It is not easy to evaluate the damping of the piezoelectric, which depends on mechanical loss and frequency. The natural frequency depended on the harvester dimensions, so the dimensions affect the damping of piezoelectric materials. Increasing the damping increases the resistance and decreases the vibrations, thus the generated stress and strain will be decreased, then the sensing voltage decreases. Nader et al. (Nader et al. 2004) evaluated the damping of the piezoceramics by determining the quality factor to be utilized by FEM simulations. In our investigation using FEM, a parametric study is conducted to study the effect of damping on the output power.

In this section we introduce a comparison between earlier studies' results and these study results, in some cases according to their availability, to validate our work. The experimental study of Erturk and Inman (Kouritem and Altabey 2022) was repeated numerically using our COMSOL model and the results were compared. The piezoelectric and subtract layers' dimensions and properties were the same as those given by reference (Kouritem and Altabey 2022) as shown in Table 7. From Table 8, it is obvious that the harvester, in both studies, is very wide (width = 0.6260 of length), which generates a broader natural frequency than a slender one.

Figure 17 shows the mesh accuracy of our COMSOL model. Figure 18 shows the calculated first mode natural frequency using Eigen frequency study (COMSOL) which is 49.5 HZ compared with 48.4 HZ of reference (Kouritem and Altabey 2022) with a 2.2% difference. Figure 19 reveals the mesh accuracy of the two-mass model, where the first mass is 12 g and the second mass is 4 g only. The locations of the two masses are shown in Fig. 19. Also, the two masses model was used to prove that increasing the number of masses increases the broadband natural frequency and the output voltage. The results of the comparison are exposed in Fig. 20. The numerical results of voltage frequency response are in good agreement with experimental results introduced by reference (Kouritem and Altabey 2022). The maximum voltage calculated using FEM was 102.82 V, while the recorded experimentally by reference (Kouritem and Altabey 2022) was 100 V with a 2.82% difference. Moreover, Fig. 20 shows the frequency response of the two masses model compared with the one-mass model. For the two-masses model, the maximum voltage is 146 V at 52.4 Hz (first mode natural frequency), so, the two-masses model produces a larger voltage and wider broadband natural frequency than the one-mass model.

Since vibration sources often have the characteristics of broadband frequency, the problem of power drop due to the variation in excitation frequency arises. It was concluded that natural frequency broadening was the solution to increase the effective natural frequency. To enlarge the natural frequency band range, the multi-mass single harvester was utilized. Four harvesters were designed, simulated, and compared to grasp the best way of broadening the natural frequency. The summary of the main highlights is listed as follows:

In future work, it is suggested to investigate the effect of two sliding masses on L-shape cantilever on the broadband natural frequency and output power.