Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK.
Department of Mechanical Engineering, The University of Sheffield, Sheffield, UK.
J Mech Behav Biomed Mater. 2018 Feb;78:20-27. doi: 10.1016/j.jmbbm.2017.11.005. Epub 2017 Nov 4.
Prolonged exposure of the hand to tool-induced vibrations is associated with the occurrence of conditions such as vibration white finger. This study involves the development of a new artificial model that approximates both loading and vibration behaviour of the human finger. The layered system uses polypropylene "bones", encased in a cylinder of low modulus, room-temperature curing silicone gel (to replicate subcutaneous tissues), with an outer layer of latex (to replicate the dermis and epidermis). A protocol for manufacture was developed and dynamic mechanical analysis was carried out on a range of gels in order to choose a range close to the mechanical properties of the human finger. The load-deflection behaviour under quasi-static loading was obtained using an indenter. The indentation measurements were then compared with a set of validation data obtained from human participant testing under the same conditions. A 2-D FE model of the finger was also used to assess vibration responses using existing parameters for a human finger and those obtained from the tested materials. Vibration analysis was conducted under swept sinusoidal excitations ranging from 10 to 400Hz whilst the FE finger model was pressed 6mm toward the handle. Results were found to compare well. This synthetic test-bed and protocol can now be used in future experiments for assessing finger-transmitted vibrations. For instance, it can aid in assessing anti-vibration glove materials without the need for human subjects and provide consistent control of test parameters such as grip force.
手部长期暴露于工具引起的振动会导致振动白指等疾病的发生。本研究开发了一种新的人工模型,该模型可以模拟人手的受力和振动行为。该分层系统使用聚丙烯“骨头”,包裹在室温固化的低模量硅橡胶(模拟皮下组织)圆柱体内,外层为乳胶(模拟真皮和表皮)。制定了制造协议,并对一系列凝胶进行了动态力学分析,以选择与人手指力学性能相近的范围。使用压头获得准静态加载下的负载-挠度行为。然后将压痕测量值与在相同条件下通过人体参与者测试获得的一组验证数据进行比较。还使用二维有限元模型评估了在现有人体手指参数和测试材料中获得的参数下的振动响应。在扫频正弦激励下进行了振动分析,频率范围为 10 至 400Hz,同时将 FE 手指模型压向手柄 6mm。结果发现吻合得很好。这个合成的测试平台和协议现在可以用于未来评估手指传递振动的实验。例如,它可以帮助评估无需人体受试者的抗振手套材料,并提供对测试参数(如握力)的一致控制。