Hyperelastic constitutive model parameters identification using optical-based techniques and hybrid optimisation

IF 2.7 3区 材料科学 Q2 ENGINEERING, MECHANICAL International Journal of Mechanics and Materials in Design Pub Date : 2023-09-09 DOI:10.1007/s10999-023-09673-6
Saeed Mollaee, David M. Budgett, Andrew J. Taberner, Poul M. F. Nielsen
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Abstract

In this paper we propose a new optical-based technique to identify the constitutive relation coefficients of the hyperelastic material using a hybrid optimisation approach. This technique can be used in place of traditional mechanical testing of elastomers for applications that involve inhomogeneous deformation. The purpose of the proposed method is to identify the incompressible hyperelastic material constitutive relation coefficients using a single experiment under different loading cases. The method comprises sample surface 3D reconstruction and uses finite element simulations to replicate the experiments, and uses a hybrid optimisation technique to minimise the error between actual 3D deformations and FE simulation results. The proposed hybrid technique predicts the hyperelastic constitutive relation coefficients more accurately than other optimisation methods. This study introduces a novel approach by employing a subpixel image registration algorithm for 3D reconstruction. The method requires a single experiment with diverse loading cases to accurately determine the coefficients of hyperelastic constitutive relations. The setup is portable and can be accommodated in a small suitcase. For this purpose, an apparatus was constructed comprising a stereoscopic system with eight cameras and a six-degree-of-freedom force-torque sensor to measure the induced forces and torques during the experiments. We identified the constitutive relation coefficients of Ogden N1, Ogden N3, Yeoh, and Arruda-Boyce relations which are commonly used models for silicone materials, using a traditional uniaxial test, optical uniaxial test (experiments performed using a constructed optical system), and inhomogeneous deformations tests. The study demonstrated that the coefficients obtained from inhomogeneous deformation tests provided the most accurate FE predictions. It was also shown that hyperelastic constitutive relation coefficients obtained from traditional uniaxial tests are insufficient to describe the material behaviour when the material undergoes inhomogeneous deformations.

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利用光学技术和混合优化技术识别超弹性力学模型参数
在本文中,我们提出了一种基于光学的新技术,利用混合优化方法确定超弹性材料的构成关系系数。该技术可代替传统的弹性体机械测试,用于涉及不均匀变形的应用。所提出方法的目的是在不同的加载情况下,通过一次实验确定不可压缩超弹性材料的构成关系系数。该方法包括样品表面三维重建和使用有限元模拟来复制实验,并使用混合优化技术来最小化实际三维变形和有限元模拟结果之间的误差。与其他优化方法相比,所提出的混合技术能更准确地预测超弹性构成关系系数。本研究采用子像素图像注册算法进行三维重建,从而引入了一种新方法。该方法只需进行一次不同加载情况的实验,就能准确确定超弹性构造关系系数。该装置便于携带,可以放在一个小手提箱中。为此,我们建造了一个设备,包括一个带有八个摄像头的立体系统和一个六自由度力矩传感器,用于测量实验过程中的感应力和扭矩。我们使用传统的单轴测试、光学单轴测试(使用构建的光学系统进行实验)和非均匀变形测试,确定了有机硅材料常用模型奥格登 N1、奥格登 N3、Yeoh 和 Arruda-Boyce 关系的构成关系系数。研究表明,非均质变形试验获得的系数提供了最准确的 FE 预测。研究还表明,从传统单轴试验中获得的超弹性构造关系系数不足以描述材料在发生非均质变形时的行为。
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来源期刊
International Journal of Mechanics and Materials in Design
International Journal of Mechanics and Materials in Design ENGINEERING, MECHANICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
6.00
自引率
5.40%
发文量
41
审稿时长
>12 weeks
期刊介绍: It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design. Analytical synopsis of contents: The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design: Intelligent Design: Nano-engineering and Nano-science in Design; Smart Materials and Adaptive Structures in Design; Mechanism(s) Design; Design against Failure; Design for Manufacturing; Design of Ultralight Structures; Design for a Clean Environment; Impact and Crashworthiness; Microelectronic Packaging Systems. Advanced Materials in Design: Newly Engineered Materials; Smart Materials and Adaptive Structures; Micromechanical Modelling of Composites; Damage Characterisation of Advanced/Traditional Materials; Alternative Use of Traditional Materials in Design; Functionally Graded Materials; Failure Analysis: Fatigue and Fracture; Multiscale Modelling Concepts and Methodology; Interfaces, interfacial properties and characterisation. Design Analysis and Optimisation: Shape and Topology Optimisation; Structural Optimisation; Optimisation Algorithms in Design; Nonlinear Mechanics in Design; Novel Numerical Tools in Design; Geometric Modelling and CAD Tools in Design; FEM, BEM and Hybrid Methods; Integrated Computer Aided Design; Computational Failure Analysis; Coupled Thermo-Electro-Mechanical Designs.
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