4.4 Article

A novel electro-active bushing based on dielectric elastomer and circular double-V auxetic structure

Journal

AIP ADVANCES
Volume 9, Issue 12, Pages -

Publisher

AMER INST PHYSICS
DOI: 10.1063/1.5100017

Keywords

-

Funding

  1. Natural Science Foundation of Jiangsu Province [BK20180482]
  2. China Postdoctoral Science Foundation [2018M632302]
  3. Fundamental Research Funds for the Central Universities [NS2018019]

Ask authors/readers for more resources

A novel electro-active bushing (EAB) design is proposed based on the unique physical properties of dielectric elastomers. A dielectric elastomer is applied as the tendon layer to a circular two-dimensional double-V auxetic structure. When load and voltage excitation vary, mechanical performance and dimensions of dielectric elastomers change, which empowers EAB to realize an electrostrictive phenomenon and real-time variable stiffness under different voltages. An EAB structure can endure mechanical loads along all directions in a cross-sectional plane, which is more practical than our previous design which can only bear loads along one direction. A theoretical electromechanical model of an EAB unit cell was proposed based on the physics theory of dielectric elastomers. The influences of unit cell parameters on electromechanical responses were researched. Moreover, an EAB prototype was fabricated via the 3D printing method. The experiments using EAB prototype applied 3M VHB 4910 and 3M VHB 9473 acrylic membranes prestretched by 200% and 300%, respectively, were conducted. The results indicated that the electrostrictive displacement increases as the load increases, and the stiffness decreases with the rise in voltage. Greater stiffness is obtained by higher original thickness and prestretch rates, but the electrostrictive displacement and stiffness variation under high excitation was dramatically affected.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Mechanical

Assessment of the locations of fatigue failure in a commercial vehicle cab using the virtual iteration method

Tao Wang, Liangmo Wang, Yuanlong Wang

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2017)

Article Engineering, Mechanical

Multi-objective reliability design optimization of a novel side door negative Poisson's ratio impact beam

Guan Zhou, Wanzhong Zhao, Zheng-Dong Ma, Chunyan Wang, Yuanlong Wang

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

Optimization of an auxetic jounce bumper based on Gaussian process metamodel and series hybrid GA-SQP algorithm

Yuanlong Wang, Wanzhong Zhao, Guan Zhou, Qiang Gao, Chunyan Wang

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2018)

Article Computer Science, Interdisciplinary Applications

Suspension mechanical performance and vehicle ride comfort applying a novel jounce bumper based on negative Poisson's ratio structure

Wang Yuanlong, Zhao Wanzhong, Zhou Guan, Gao Qiang, Wang Chunyan

ADVANCES IN ENGINEERING SOFTWARE (2018)

Article Engineering, Multidisciplinary

Structure design and multi-objective optimization of a novel NPR bumper system

ChunYan Wang, WeiWei Wang, WanZhong Zhao, Yuanlong Wang, Guan Zhou

COMPOSITES PART B-ENGINEERING (2018)

Article Engineering, Mechanical

Analysis and parametric optimization of a novel sandwich panel with double-V auxetic structure core under air blast loading

Yuanlong Wang, Wanzhong Zhao, Guan Zhou, Chunyan Wang

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2018)

Article Engineering, Mechanical

Structure design and multi-objective optimization of a novel crash box based on biomimetic structure

ChunYan Wang, Yan Li, WanZhong Zhao, SongChun Zou, Guan Zhou, YuanLong Wang

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES (2018)

Article Engineering, Multidisciplinary

Parametric design strategy of a novel cylindrical negative Poisson's ratio jounce bumper for ideal uniaxial compression load-displacement curve

Wang YuanLong, Zhao WanZhong, Zhou Guan, Wang ChunYan, Gao Qiang

SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2018)

Article Computer Science, Interdisciplinary Applications

Multi-objective explosion-proof performance optimization of a novel vehicle door with negative Poisson's ratio structure

ChunYan Wang, SongChun Zou, WanZhong Zhao, YuanLong Wang, Guan Zhou

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2018)

Article Materials Science, Multidisciplinary

Theoretical, numerical and experimental analysis of three-dimensional double-V honeycomb

Qiang Gao, Liangmo Wang, Ze Zhou, Z. D. Ma, Chenzhi Wang, Yuanlong Wang

MATERIALS & DESIGN (2018)

Article Instruments & Instrumentation

A bio-inspired novel active elastic component based on negative Poisson's ratio structure and dielectric elastomer

Yuanlong Wang, Wanzhong Zhao, Huaming Wang, Zhi Liu

SMART MATERIALS AND STRUCTURES (2019)

Article Thermodynamics

Thermal performance of lithium-ion batteries applying forced air cooling with an improved aluminium foam heat sink design

Yuanlong Wang, Yi Yu, Zhiqiang Jing, Chunyan Wang, Guan Zhou, Wanzhong Zhao

Summary: A lithium-ion battery thermal management system using forced air cooling with open-cell aluminum foam was proposed. The thermal interaction between battery cells becomes more obvious after using aluminum foam, which can significantly reduce battery temperature rise. However, aluminum foam may cause flow resistance and pressure loss, leading to uneven temperature distribution on the battery surface.

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2021)

Article Engineering, Electrical & Electronic

Lane Detection Based on Two-Stage Noise Features Filtering and Clustering

Yuanlong Wang, Zhiqiang Jing, Zijie Ji, Liangguo Wang, Guan Zhou, Qiang Gao, Wanzhong Zhao, Shijuan Dai

Summary: This paper presents a new multi-lane detection method that utilizes an object detection neural network to remove vehicles from road images and accurately extract lane line features. The method utilizes binarization, object detection, and clustering to perform lane detection and demonstrates good real-time performance and robustness in various complex scenarios.

IEEE SENSORS JOURNAL (2022)

Article Engineering, Mechanical

Elman neural network-based temperature prediction and optimization for lithium-ion batteries

Chaoliang Li, Yuanlong Wang, Xiongjie Chen, Yi Yu, Guan Zhou, Chunyan Wang, Wanzhong Zhao

Summary: This paper proposes a highly adaptive Elman neural network (Elman-NN) for accurate temperature prediction of lithium-ion batteries in a metal foam aluminum thermal management system. The Elman-NN is optimized using the PSO algorithm to improve prediction accuracy. Compared to the original Elman-NN, the hybrid PSO-Elman-NN model achieves significant reduction in MSE and MAE values and demonstrates improved prediction accuracy. The proposed model shows excellent compatibility and accuracy in battery temperature prediction.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2023)

No Data Available