{"title":"l 形弯曲扭转压电能量采集系统的机电模型","authors":"Amal Megdich, Mohamed Habibi, Luc Laperriere","doi":"10.1016/j.apm.2024.115755","DOIUrl":null,"url":null,"abstract":"<div><div>Piezoelectric energy harvesting (PEH) has become an important concept in recent years, aiming to harvest energy from various mechanical vibrations. However, a significant gap has been noticed in the multimodal and multidirectional analytics of PEHs. In this context, this paper proposes an innovative approach to introduce a novel multimodal and multidirectional PEH design, which exploits both the face extension mode (d31) and the face shear mode (d36), to target low-frequency environments. The study investigates three bending-torsion l-shaped bimorph PEHs, namely H<sub>1</sub>, H<sub>2</sub>, and H<sub>3</sub>. To evaluate the performance of the proposed PEHs, a distributed parameter model is developed based on the assumptions of the Euler-Bernoulli beam. The validity of the model is confirmed by analytical, numerical, and experimental results from previous work. The exploitation of the d36 mode enhances the power output of H<sub>1</sub>, H<sub>2</sub>, and H<sub>3</sub> by 67.95 %, 43.66 %, and 31.83 respectively. The three PEHs performances are compared quantitatively and qualitatively, and H<sub>1</sub> is found to be the most efficient among them. The PEH H<sub>1</sub> requires a single excitation to perform the coupled bending-torsion motions, resulting in an outstanding average power output of 54.66 µW, which outperforms the other two PEHs by tenfold. The use of the d36 modes to expand the frequency bandwidth and improve the power output presents an excellent innovative and practical value for piezoelectric energy harvesting.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"138 ","pages":"Article 115755"},"PeriodicalIF":4.4000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electromechanical modelling of l-shaped bending-torsion piezoelectric energy harvesting systems\",\"authors\":\"Amal Megdich, Mohamed Habibi, Luc Laperriere\",\"doi\":\"10.1016/j.apm.2024.115755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Piezoelectric energy harvesting (PEH) has become an important concept in recent years, aiming to harvest energy from various mechanical vibrations. However, a significant gap has been noticed in the multimodal and multidirectional analytics of PEHs. In this context, this paper proposes an innovative approach to introduce a novel multimodal and multidirectional PEH design, which exploits both the face extension mode (d31) and the face shear mode (d36), to target low-frequency environments. The study investigates three bending-torsion l-shaped bimorph PEHs, namely H<sub>1</sub>, H<sub>2</sub>, and H<sub>3</sub>. To evaluate the performance of the proposed PEHs, a distributed parameter model is developed based on the assumptions of the Euler-Bernoulli beam. The validity of the model is confirmed by analytical, numerical, and experimental results from previous work. The exploitation of the d36 mode enhances the power output of H<sub>1</sub>, H<sub>2</sub>, and H<sub>3</sub> by 67.95 %, 43.66 %, and 31.83 respectively. The three PEHs performances are compared quantitatively and qualitatively, and H<sub>1</sub> is found to be the most efficient among them. The PEH H<sub>1</sub> requires a single excitation to perform the coupled bending-torsion motions, resulting in an outstanding average power output of 54.66 µW, which outperforms the other two PEHs by tenfold. The use of the d36 modes to expand the frequency bandwidth and improve the power output presents an excellent innovative and practical value for piezoelectric energy harvesting.</div></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":\"138 \",\"pages\":\"Article 115755\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X24005080\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X24005080","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Electromechanical modelling of l-shaped bending-torsion piezoelectric energy harvesting systems
Piezoelectric energy harvesting (PEH) has become an important concept in recent years, aiming to harvest energy from various mechanical vibrations. However, a significant gap has been noticed in the multimodal and multidirectional analytics of PEHs. In this context, this paper proposes an innovative approach to introduce a novel multimodal and multidirectional PEH design, which exploits both the face extension mode (d31) and the face shear mode (d36), to target low-frequency environments. The study investigates three bending-torsion l-shaped bimorph PEHs, namely H1, H2, and H3. To evaluate the performance of the proposed PEHs, a distributed parameter model is developed based on the assumptions of the Euler-Bernoulli beam. The validity of the model is confirmed by analytical, numerical, and experimental results from previous work. The exploitation of the d36 mode enhances the power output of H1, H2, and H3 by 67.95 %, 43.66 %, and 31.83 respectively. The three PEHs performances are compared quantitatively and qualitatively, and H1 is found to be the most efficient among them. The PEH H1 requires a single excitation to perform the coupled bending-torsion motions, resulting in an outstanding average power output of 54.66 µW, which outperforms the other two PEHs by tenfold. The use of the d36 modes to expand the frequency bandwidth and improve the power output presents an excellent innovative and practical value for piezoelectric energy harvesting.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.