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Depth-Sensing Indentation as a Micro- and Nanomechanical Approach to Characterisation of Mechanical Properties of Soft Biological and Biomimetic Materials

机译:深度传感压痕作为表征软生物和仿生材料机械性能的微观和纳米力学方法

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摘要

Classical methods of material testing become extremely complicated or impossible at micro-anoscale. At the same time, depth-sensing indentation (DSI) can be applied without much change at various length scales. However, interpretation of the DSI data needs to be done carefully, as length-scale dependent effects, such as adhesion, should be taken into account. This review paper is focused on different DSI approaches and factors that can lead to erroneous results, if conventional DSI methods are used for micro-anomechanical testing, or testing soft materials. We also review our recent advances in the development of a method that intrinsically takes adhesion effects in DSI into account: the Borodich–Galanov (BG) method, and its extended variant (eBG). The BG/eBG methods can be considered a framework made of the experimental part (DSI by means of spherical indenters), and the data processing part (data fitting based on the mathematical model of the experiment), with such distinctive features as intrinsic model-based account of adhesion, the ability to simultaneously estimate elastic and adhesive properties of materials, and non-destructive nature.
机译:在微米/纳米尺度上,经典的材料测试方法变得极为复杂或不可能。同时,可以在各种长度范围内应用深度感应压痕(DSI)而无太大变化。但是,DSI数据的解释必须谨慎进行,因为应考虑与长度相关的影响,例如粘附力。如果使用常规DSI方法进行微/纳米机械测试或软材料测试,则本文的重点是不同的DSI方法和可能导致错误结果的因素。我们还回顾了我们在方法上的最新进展,该方法本质上考虑了DSI中的粘合效果:Borodich-Galanov(BG)方法及其扩展变体(eBG)。 BG / eBG方法可以认为是由实验部分(借助球形压头的DSI)和数据处理部分(基于实验数学模型的数据拟合)组成的框架,具有诸如内在模型-基于粘附力的考虑,同时估算材料的弹性和粘附性的能力以及无损性质。

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