Tensile Properties of Isotropic and Anisotropic Magnetorheological Elastomer With and Without Magnetic Field Application

IF 1 Q4 ENGINEERING, MECHANICAL
Muntaz Hana Ahmad Khairi, Leo Jusius Garik, S. Mazlan, Shahir Yasin Mohd Yusuf, Mohd Aidy Faizal Johari, N. Nordin, F. Imaduddin
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Abstract

In this study, two variations of magnetorheological elastomer (MRE) tensile specimens were fabricated, differing in their isotropic and anisotropic configurations. The isotropic MRE exhibited randomly dispersed carbonyl iron particle (CIP), whereas the anisotropic featured longitudinally aligned CIP particles along the gauge length of the tensile sample. The formation of the anisotropic MRE involved utilizing an electromagnetic curing chamber, which facilitated the alignment of CIP particles during the elastomer curing process. A mold was specifically designed to produce samples conforming to the dimensions outlined in ASTMD412-F. Subsequently, a Finite Element Method Magnetics (FEMM) analysis was conducted to examine the magnetic flux within the curing device for the anisotropic MRE. Uniaxial tensile tests were conducted on both MRE types, both in the absence and presence of a 30 mT magnetic field applied transversely to the direction of CIP alignment. Results indicated that without a magnetic field, the anisotropic sample exhibited a slightly higher tensile strength, lower elongation, and higher modulus at 100% strain. However, when a magnetic field was introduced, the isotropic sample demonstrated a more pronounced increase in tensile strength, showing an 18.4% improvement compared to the 5.6% increase observed in the anisotropic sample. Similar trends were observed in the reduction of elongation, with a 14% decrease for isotropic and a 7% decrease for anisotropic samples. Additionally, the data on modulus at a 100% strain revealed a 22.3% increase in stiffness for the isotropic sample, while the anisotropic sample showed a 10.6% increase.
各向同性和各向异性磁流变弹性体在应用和不应用磁场时的拉伸性能
本研究制作了两种不同的磁流变弹性体(MRE)拉伸试样,其各向同性和各向异性结构各不相同。各向同性的磁流变弹性体显示出随机分散的羰基铁颗粒(CIP),而各向异性的磁流变弹性体则显示出沿拉伸试样长度方向纵向排列的 CIP 颗粒。各向异性 MRE 的形成需要利用电磁固化室,这有助于在弹性体固化过程中对齐 CIP 颗粒。专门设计了一个模具,用于生产符合 ASTMD412-F 所列尺寸的样品。随后,进行了有限元法磁学 (FEMM) 分析,以检查各向异性 MRE 固化装置内的磁通量。在没有和有 30 mT 磁场的情况下,对两种 MRE 进行了单轴拉伸试验,磁场横向施加于 CIP 对齐方向。结果表明,在没有磁场的情况下,各向异性样品的拉伸强度略高,伸长率较低,100%应变时的模量较高。然而,引入磁场后,各向同性样品的抗拉强度有了更明显的提高,与各向异性样品的 5.6% 相比,提高了 18.4%。在伸长率降低方面也观察到类似的趋势,各向同性样品降低了 14%,各向异性样品降低了 7%。此外,100% 应变时的模量数据显示,各向同性样品的刚度增加了 22.3%,而各向异性样品则增加了 10.6%。
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来源期刊
CiteScore
2.40
自引率
10.00%
发文量
43
审稿时长
20 weeks
期刊介绍: The IJAME provides the forum for high-quality research communications and addresses all aspects of original experimental information based on theory and their applications. This journal welcomes all contributions from those who wish to report on new developments in automotive and mechanical engineering fields within the following scopes. -Engine/Emission Technology Automobile Body and Safety- Vehicle Dynamics- Automotive Electronics- Alternative Energy- Energy Conversion- Fuels and Lubricants - Combustion and Reacting Flows- New and Renewable Energy Technologies- Automotive Electrical Systems- Automotive Materials- Automotive Transmission- Automotive Pollution and Control- Vehicle Maintenance- Intelligent Vehicle/Transportation Systems- Fuel Cell, Hybrid, Electrical Vehicle and Other Fields of Automotive Engineering- Engineering Management /TQM- Heat and Mass Transfer- Fluid and Thermal Engineering- CAE/FEA/CAD/CFD- Engineering Mechanics- Modeling and Simulation- Metallurgy/ Materials Engineering- Applied Mechanics- Thermodynamics- Agricultural Machinery and Equipment- Mechatronics- Automatic Control- Multidisciplinary design and optimization - Fluid Mechanics and Dynamics- Thermal-Fluids Machinery- Experimental and Computational Mechanics - Measurement and Instrumentation- HVAC- Manufacturing Systems- Materials Processing- Noise and Vibration- Composite and Polymer Materials- Biomechanical Engineering- Fatigue and Fracture Mechanics- Machine Components design- Gas Turbine- Power Plant Engineering- Artificial Intelligent/Neural Network- Robotic Systems- Solar Energy- Powder Metallurgy and Metal Ceramics- Discrete Systems- Non-linear Analysis- Structural Analysis- Tribology- Engineering Materials- Mechanical Systems and Technology- Pneumatic and Hydraulic Systems - Failure Analysis- Any other related topics.
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