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Impact of increased particle concentration on magnetorheological fluid properties and their damping performance
Korea-Australia Rheology Journal ( IF 1.3 ) Pub Date : 2022-05-11 , DOI: 10.1007/s13367-022-00029-8
Ashok Kumar Kariganaur 1 , Hemantha Kumar 1 , M. Arun 1
Affiliation  

Magnetorheological (MR) fluid properties are essential in analyzing the performance of any MR fluid system. The fluid properties are dependent on shape, size, and magnetic saturation of the magnetic particles. Preliminary characteristics with SEM, particle size analysis (PSA), and vibration sample magnetometer (VSM) on carbonyl iron particles were performed to verify the particle’s feasibility to synthesize the MR fluid in a laboratory. Synthesis and characterization of MR fluids with particle concentrations (PC) of 10% (PC10), 15% (PC15), 20% (PC20), 30% (PC30), and 35% (PC35) by volume are carried out. To show the inherent nonlinearity of the MR fluid, Herschel–Bulkley model is used. The relationship between sedimentation velocity, yield stress, and thermal conductivity is established as a function of particle concentration with experimental uncertainty of 6.15, 5, and 8.96%, respectively. Functional testing of PC15 and PC30 was carried out on an MR damper fabricated on dimensions obtained from the literature for the required size. The results indicate that damping force is 42% more in PC30 than PC15 at higher loading parameters. Finally, the saturation magnetization of the MR fluid depends not only on applied current but also on loading parameters when operating in the system.



中文翻译:

颗粒浓度增加对磁流变流体特性及其阻尼性能的影响

磁流变 (MR) 流体特性对于分析任何 MR 流体系统的性能至关重要。流体特性取决于磁性颗粒的形状、尺寸和磁饱和度。使用 SEM、粒度分析 (PSA) 和振动样品磁力计 (VSM) 对羰基铁颗粒进行初步特征分析,以验证颗粒在实验室合成 MR 流体的可行性。颗粒浓度 (PC) 为 10% (PC 10 )、15% (PC 15 )、20% (PC 20 )、30% (PC 30 ) 和 35% (PC 35 ) 的 MR 流体的合成和表征) 按体积进行。为了显示 MR 流体的固有非线性,使用 Herschel-Bulkley 模型。沉降速度、屈服应力和热导率之间的关系被确定为颗粒浓度的函数,实验不确定度分别为 6.15%、5% 和 8.96%。PC 15和 PC 30的功能测试是在一个 MR 阻尼器上进行的,该阻尼器的尺寸是从文献中获得的所需尺寸。结果表明,在较高载荷参数下,PC 30的阻尼力比 PC 15高 42%。最后,MR 流体的饱和磁化强度不仅取决于施加的电流,还取决于在系统中运行时的负载参数。

更新日期:2022-05-12
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