Mooney-Rivlin Model Research Articles

On the possibility of using simulation modeling for research and design of universal preventer seals

Well control in the process of their construction is one of the important factors in ensuring the safety of the technological process. Blowout preventer equipment, which includes annular preventers, is used to control the wells. This applies to oil and gas wells, and wells that provide degassing of coal seams to reduce their gas-dynamic activity. Technological processes of safe work require the expansion of the functionality of the sealing unit of the annular preventer while ensuring its high performance. One of the determining factors to ensure the required durability of seals in different modes of operation is the study of their stress-strain state. In this paper, the possibility of using simulation three-dimensional modeling in the study of the influence of the geometry of the reinforcing metal inserts of the seal on its stress-strain state as a whole is considered. To this end, a method for determining and determining the material constants for the implementation of the Mooney-Rivlin model, which describes the behavior of low-compressibility rubber in software products based on the finite element method. It is established that two material constants can be used for simulation modeling of an annular preventer seal with deformations not exceeding 150%. More constants must be determined to model a sealant with larger deformations (up to 600%). The reliability of the obtained results of the model studies is characterized by a total error of experimental and theoretical studies of up to 5%. Thus, the prerequisites are created and the possibility of using simulation modeling in the study and design of elements of universal preventers with high performance is confirmed.

Stretch-Based Hyperelastic Material Formulations for Isogeometric Kirchhoff–Love Shells with Application to Wrinkling

Modelling nonlinear phenomena in thin rubber shells calls for stretch-based material models, such as the Ogden model which conveniently utilizes eigenvalues of the deformation tensor. Derivation and implementation of such models have been already made in Finite Element Methods. This is, however, still lacking in shell formulations based on Isogeometric Analysis, where higher-order continuity of the spline basis is employed for improved accuracy. This paper fills this gap by presenting formulations of stretch-based material models for isogeometric Kirchhoff–Love shells. We derive general formulations based on explicit treatment in terms of derivatives of the strain energy density functions with respect to principal stretches for (in)compressible material models where determination of eigenvalues as well as the spectral basis transformations is required. Using several numerical benchmarks, we verify our formulations on invariant-based Neo-Hookean and Mooney–Rivlin models and with a stretch-based Ogden model. In addition, the model is applied to simulate collapsing behaviour of a truncated cone and it is used to simulate tension wrinkling of a thin sheet.

Preparation of lignin‐based filling antioxidant and its application in styrene‐butadiene rubber

AbstractA novel filling antioxidant (Lig‐g‐RT) to improve the mechanical properties and antiaging performance of styrene‐butadiene rubber (SBR) composites was prepared by grafting antioxidant intermediate p‐aminodiphenylamine (RT) on the surface of lignin via the linkage of silane coupling agent. Fourier transform infrared (FTIR) and thermogravimetric analysis (TGA) measurements confirmed that RT was successfully grafted on the surface of lignin to produce the functionalized Lig‐g‐RT which shows a better thermal stability than lignin. Compared with SBR/lignin composite, the SBR/Lig‐g‐RT composite using latex co‐precipitation method exhibits a much better filler dispersion, which contributes to the maintain of the physical mechanical properties of SBR vulcanizates. Moreover, the SBR/Lig‐g‐RT vulcanizate exhibits less chemical crosslink concentration and higher entanglement density than SBR/lignin vulcanizate according to the Mooney–Rivlin model analysis. In addition, the stabilizing effect of lignin/Lig‐g‐RT on the carbon‐black filled SBR vulcanizates is comparable with that of commercial antioxidant N‐1,3‐dimethylbutyl‐N′‐phenyl‐p‐phenylenediamine (4020), especially the SBR vulcanizate filled with 10 phr Lig‐g‐RT obtains the optimum thermo‐oxidative aging properties. This functionalized Lig‐g‐RT not only provides an intramolecular synergistic antiaging effect for SBR vulcanizates and an improvement of filler dispersion, but greatly extends the comprehensive utilization of industrial lignin.

Linear elastic and hyperelastic studies of equine hoof mechanical response at different hydration levels

Most simulation studies on equine hoof biomechanics employed linear elastic (LE) material models. However, the equine hoof wall's stress-strain relationship is nonlinear and varies with hydration level. Therefore, it is essential to investigate the accuracy of the LE model compared to more advanced material models, such as hyperelastic (HE) or viscoelastic models. The current research investigated performances of LE and three HE models (Mooney-Rivlin, Neo-Hookean, and Marlow) in describing equine hoof's mechanical behavior using finite element (FE) analysis. In the first attempt, a rectangular tissue specimen was simulated using the previously published experimental data. The Marlow HE model predicted the hoof wall stress-strain curve more accurately than the LE, Mooney-Rivlin, and Neo-Hookean models. The LE model accuracy, compared with the experimental results, varied within the reported range of the strain. However, the Marlow HE model perfectly matched the experimental data for a wide range of strains. In the second attempt, the entire hoof, including nine associated tissues, was modeled from computed tomography (CT) scans of an equine forelimb, and analyzed at trotting and standing modes of locomotion. The effect of environmental humidity on the hoof wall material properties was incorporated at four hydration levels; 0%, 53%, 75%, and 100%. The simulation results of the LE and HE models indicated that the minimum principal strain distribution on the hoof wall remained under 2% for various hydration levels and gait conditions. The numerical results of the Marlow HE model demonstrated better agreement with published experimental data compared to the LE, Mooney-Rivlin, and Neo-Hookean models. Higher hydration levels significantly increased the strains – a potential explanation could be the fact that the higher hydration levels decreased stiffness of the hoof wall tissues and ultimately increased strains. Higher ground reaction forces increased the von Mises stress at various points in the hoof wall, especially in the quarter regions and close to the coronet, where cracks and fractures are found more often in the physiological conditions.

NUMERICAL-EXPERIMENTAL EVALUATION OF A HYPERELASTIC POLYURETHANE ADHESIVE

This article presents the results of the experimental tests carried out on a polyurethane hyperelastic adhesive. The Mooney-Rivlin, Ogden and Yeoh models were analyzed between others, with different order and parameters using the finite element method and the Ansys V17.1 package, with the aim of evaluating the convergence of a general hyperelastic model, to subsequently manufacture specimens and perform experimental uniaxial stress tests. The information obtained from the tests was supplied to a curve fitting model for several hyperelastic models, seeking to obtain a correlation between these tests. New analyzes were performed with the finite element method with the materials considered and the curves adjusted. The results were studied and the numerical hyperelastic model closest to reality was selected, observing that the 1st order Yeoh model presented significant deviations between -30% to 60% in the experimental stiffness, the 3rd order Yeoh model presented deviations of -5% to -30%, while Ogden models of 1st and 3rd order presented deviations of -3.5% to 25% and -3% to 20%, before approaching the critical load, where the model of Ogden of 1st order presented a deviation of 0.66% and that of 3rd order of -3.59%. The 2 parameter Mooney-Rivlin model presents a deviation of 3.9% when it approaches the critical load, but values from -2.04% to 15% during the development of the stress test, so that model proved to be the most appropriate to analyze the material investigated in this work. Key Words: Hyperelastic material, Experimental Methods, Numerical Methods, FEA

High-order finite element model of bridge rubber bearings for the prediction of buckling and shear failure

Performance-based design is becoming the main design method for highway bridge seismic design. This design method requires a good knowledge of the damage mechanisms of each component of the bridge. Rubber bearings and isolators represent a key component of the earthquake-resistance system of bridges that can experience large lateral displacements while supporting high axial loads. Rubber bearings and isolators can thus experience lateral instabilities under seismic loading, resulting in ultimate limit states by buckling or by shear failure depending on the geometry of the bearing. This paper investigates the development of a general numerical 3D finite element model for layered elastomeric bridge bearings and isolators that is able to accurately predict both limit states under shear-compression loadings at very large deformations. Such a model is aimed at subsequent utilization in large numerical and parametrical studies to develop practical and accurate design guidelines for the limit states of bridge rubber isolators. In this study, the accuracy of several rubber finite element formula tions has been studied, including the often used low-order and easy-to-calibrate Mooney-Rivlin and Neo-Hookean models and the two high-order Arruda-Boyce and 6-parameter Ogden models. For the latter model, a calibration procedure is proposed based on three simple standard characterization tests of the material that circumvents the much higher difficulty of calibration of the Ogden model compared to the others. The calibration results for the four considered models show that the 6-parameter Ogden model surpasses the ability of the three other models to accurately represent the material behavior in the different deformation modes experienced by rubber bearings under shear compression at large deformations. The four models are then compared for their ability to predict the force–displacement curves of some experimentally tested isolators. The Ogden model showed again higher accuracy compared to the other models that are mostly used in literature. The finite element model based on the Ogden formulation is finally completely validated by using extensive experimental results obtained from tests performed on real-scale rubber bearings and isolators of various shape factors and slenderness values. Finally, for nonslender bearings that experience shear failure at large deformation, a numerical material failure criterion is proposed and validated by comparing the critical displacement predictions of the model to the available experimental results.

Numerical analysis of natural rubber bearing equipped with steel and shape memory alloys dampers

In this paper, the behavior of a natural rubber bearing system (NRBs) equipped with U-shaped dampers is investigated. The U-shaped dampers consist of shaped memory alloy (SMA), structural steel (SS), and combination of both SMA and SS. The combined Mooney-Rivlin and Prony models in ANSYS software is selected for modeling the rubber material. Two cyclic static and dynamic time-history analyses were selected to evaluate the behavior of NRBs equipped with dampers. The results show that the SMA dampers made of FeNiCuAlTaB with 13.5% super-elastic strain and low austenite finish temperature are the most appropriate candidates for use in high shear strain, steel-rubber bearings. The results showed that finite element analyses are able to accurately simulate the mechanical behavior of the damper. Having confirmed the validity of the analysis, the optimum thickness ratio of SMA to SS (tSMA/tSS) to maximize dissipated energy and minimize residual deformation for the dampers was found to be one. The results show that each damper typology has unique benefits; while the U-shaped SMA damper has super-elastic behavior and residual deformation reversibility, the SS dampers significantly increase the energy dissipation capacity. Lastly to illustrate how this could be instrumented on real-world infrastructure, several bridge models, with steel decks and concrete piers isolated by NRBs equipped with steel and SMA dampers, were evaluated.

Mechanical and Thermal Behavior of Fibrous Carbon Materials.

The ability of various commercial fibrous carbon materials to withstand stress and conduct heat has been evaluated through experimental and analytical studies. The combined effects of different micro/macro-structural characteristics were discussed and compared. Large differences in mechanical behavior were observed between the different groups or subgroups of fibrous materials, due to the different types of fibers and the mechanical and/or chemical bonds between them. The application of the Mooney–Rivlin model made it possible to determine the elastic modulus of soft felts, with a few exceptions, which were studied in-depth. The possible use of two different mechanical test methods allowed a comparison of the results in terms of elastic modulus obtained under different deformation regimes. The effective thermal conductivity of the same fibrous materials was also studied and found to be much lower than that of a single carbon fiber due to the high porosity, and varied with the bulk density and the fiber organization involving more or less thermal contact resistances. The thermal conductivity of most materials is highly anisotropic, with higher values in the direction of preferential fiber orientation. Finally, the combination of compression and transient thermal conductivity measurement techniques allowed the heat conduction properties of the commercial fibrous carbons to be investigated experimentally when compressed. It was observed that thermal conductivity is strongly affected under compression, especially perpendicular to the main fiber orientation.

Hyperelastic models for the description and simulation of rubber subjected to large tensile loading

Purpose: Rubber is widely used in tires, mechanical parts, and user goods where elasticity is necessary. Some essential features persist unsolved, primarily if they function in excessive mechanical properties. It is required to study elastomeric Rubber's performance, which is operational in high-level dynamic pressure and high tensile strength. These elastomeric aims to increase stress breaking and preserve highly pressurised tensile strength. Design/methodology/approach: The effects of carbon black polymer matrix on the tensile feature of different Rubber have been numerically investigated in this research. Rubber's material characteristics properties were measured using three different percentages (80%, 90%and 100%) of carbon black filler parts per Hundreds Rubber (pphr). Findings: This study found that the tensile strength and elongation are strengthened as the carbon black filler proportion increases by 30%. Practical implications: This research study experimental tests for Rubber within four hyperelastic models: Ogden's Model, Mooney-Rivlin Model, Neo Hooke Model, Arruda- Boyce Model obtain the parameters for the simulation of the material response using the finite element method (FEM) for comparison purposes. These four models have been extensively used in research within Rubber. The hyperelastic models have been utilised to predict the tensile test curves—the accurate description and prediction of elastomer rubber models. For four models, elastomeric material tensile data were used in the FEA package of Abaqus. The relative percentage error was calculated when predicting fitness in selecting the appropriate model—the accurate description and prediction of elastomer rubber models. For four models, elastomeric material tensile data were used in the FEA package of Abaqus. The relative percentage error was calculated when predicting fitness in selecting the appropriate model. Numerical Ogden model results have shown that the relative fitness error was the case with large strains are from 1% to 2.04%. Originality/value: In contrast, other models estimate parameters with fitting errors from 2.3% to 49.45%. The four hyperelastic models were tensile test simulations conducted to verify the efficacy of the tensile test. The results show that experimental data for the uniaxial test hyperelastic behaviour can be regenerated effectively as experiments. Ultimately, it was found that Ogden's Model demonstrates better alignment with the test data than other models.

Mechanical characterization of soft silicone gels via spherical nanoindentation for applications in mechanobiology

As a biocompatible material, soft silicone gels like CY52-276 have been applied to many engineering fields associated with interactions between mammalian cells and extracellular matrices/substrates, due to its nontoxicity, ease of preparation, optical transparency and tunable mechanical properties. Precise quantification of mechanical properties of silicone gels is crucial for quantitatively investigating mechanical responses of cells to microenvironments. Addressing the material with high surface energy, we design a new strategy for the nanoindentation technique to reduce or even eliminate the effect of interfacial adhesions with the aid of some specified buffers. Next, we dissect the dependence of its Young’s modulus on the ratios of monomers and crosslinkers and curing conditions, and therefore identify a dose–response relationship between its moduli and the corresponding prepolymer compositions. With the non-linear large deformation nanoindentation tests, we further showed that the two-parameter Mooney–Rivlin model may well characterize the hyperelastic deformations of the materials with different composition ratios. These pave the way for more precise exploration of the interaction between cells and extracellular matrix and the underlying mechanotransduction pathways in mechanobiology. Precise quantification of mechanical properties of silicone gels is crucial for quantitatively investigating mechanical responses of cells to microenvironments. Addressing the material with high surface energy, we design a new strategy for the nanoindentation technique to reduce or even eliminate the effect of interfacial adhesions with the aid of some specified buffers. Next, we dissect the dependence of its Young’s modulus on the ratios of monomers and crosslinkers and curing conditions. These pave the way for more precise exploration of the interaction between cells and extracellular matrix and the underlying mechanotransduction pathways in mechanobiology.

A new concept for the representative directions method: Directionalisation of first and second invariant based hyperelastic models

The representative directions method is a continuum mechanical based practical approach to transfer 1D material models to 3D. The selection of the directional energy and the corresponding directional stress is generally based on the standard uniaxial tension (UT) solution of hyperelastic models. However, this approach results in a somewhat different model than hyperelastic models in the context of elasticity and inelasticity. For instance, enrichment of the UT based directional stress with the non-affine stretch does not provide close results unless huge p-root values are considered. Hence, the main objective of this contribution is to determine the directional stresses, which can provide equivalent or close results to first and second invariant based hyperelastic models. Accordingly, the directionalisation concept in the framework of affine representative directions method is introduced. Directional stresses are obtained with a top-down approach from the first and second invariant based hyperelastic models. The standard Mooney-Rivlin model is directionalised to obtain the corresponding 1D energies and stresses using the micro-stretch and the macro-area-stretch. The approach is then utilised to directionalise several hyperelastic-like models as alternatives for statistical-thermomechanics based chain models. Moreover, a new optimisation strategy is proposed to improve the material asymmetry resulting from numerical integration schemes. Optimisation results demonstrate that the material symmetry of the standard Bažant points can be improved. Finally, two nonhomogenous finite-element (FE) simulations demonstrate that the directionalisation approach presented here contributes a good step towards numerically robust inelastic extensions.

Numerical Determination of the Circumferential Residual Stress of Porcine Aorta by Pulling-Back Method

Residual stress is very important for the study of cardiovascular-relevant issues, such as assessing the vulnerability of atherosclerosis and aneurysm. In this paper, the circumferential residual stress of porcine aorta was characterized by combining ex vivo experiments with numerical studies. In the experiments, porcine aortic rings were prepared and cut open, and the cross sections of the opened aortic rings were extracted to construct finite element models. The 5-parameter Mooney–Rivlin model was chosen to describe the tensile mechanical behavior of the aorta. In numerical studies, based on the finite element models and hyperelastic material model, a pulling-back displacement was applied to reclose the models of the opened aortic rings, and the equivalent circumferential residual stress to the pre-opened aorta was analyzed. The results showed that the circumferential residual stress of the aorta generally decreased from the proximal to the distal ends, and the residual stresses of the aortic rings close to the distal end did not show a great difference. This work provides an improved understanding of the residual stress distribution in aorta and may be used as a more realistic initial condition for future stress analysis of the arterial tissue.

Optimized Stress-Strain Ranges for Hyperelastic Constitutive Models Supporting the Simulation of Vertical Stiffness on Airless Tire

The airless tires are developed to overcome a disadvantage of pneumatic tire which lost maneuverability caused of flattening and blasting. The finite element analysis (FEA) is an effective method for development of airless tires which have a complex construction. The material properties which describe mechanical behavior of each tire component are very important to yield accurate result. The high order constitutive model usually obtains the accuracy of FEA results. Unfortunately, it consumes the simulating time. The suitable stress-strain range of Mooney-Rivlin and Ogden model was selected in this research. The vertical stiffness of airless tire model was compared to the experiment. This study found that the accurate result and consuming less time of TWEEL airless tire model depended on an appropriate pair of material properties. There were 100% of tread and 30% of spoke stress-strain characteristic based on the Mooney-Rivlin model. Consequently, the study and design of airless tire by finite element method will be carried out efficiently in the further works.

Stretching of the mechanical-geometric model and two common nonlinear elastic solids

The variety of hyperelastic materials and the design of new modifications and technical applications requires the development of a description of nonlinear deformation properties. The most commonly used constitutive relations of the Mooney-Rivlin and Yeoh models are based on polynomial decompositions. Mechanical-geometric modeling (hereinafter - MGM) is a new way of constructing constitutive relations and strain energy densities within the nonlinear theory of elasticity. In this paper, a comparison of the deformation behavior of MGM with the traditional Mooney-Rivlin and Yeoh models was carried out. Comparative analysis is accompanied by diagrams for uniaxial and biaxial stretching. The effectiveness of the new model was proved.

Measurement and Calculation of Mechanical Properties of Silicone Rubber

The paper presents measurements and calculations of the mechanical properties of silicone rubber used in manufacturing an auricular prosthesis. Measurements and calculations are based on dental computer-aided-design and computer-aided-manufacturing using hybrid technologies including conventional and digital methods of creating medical devices. Tensile strength testing is conducted in a climatic chamber at –20, 0, 25 and 40°C. The mechanical properties of silicon rubber manifest rather a limited value domain, and monotonely lower at the temperature elevation from –20 to 45°C. A relatively high temperature resistance is registered for silicone rubber. Based on a Mooney-Rivlin model, the constants C01 and C10 are determined to be used as the simulation modelling parameters for the stress-strain state of the auricular prosthesis. The measured cross-link density of silicone rubber is found to be 0.49.

Development of Hyperelastic Model for Butadiene Rubber Using a Neural Network

A strain energy density function is used to characterize the hyperelasticity of rubber-like materials. Conventional models, such as the Neo-Hookean, Mooney-Rivlin, and Ogden models, are widely used in automotive industries, in which the strain potential is derived from strain invariants or principal stretch ratios. A fitting procedure for experimental data is required to determine material constants for each model. However, due to the complexities of the mathematical expression, these models can only produce an accurate curve fitting in a specified strain range of the material. In this study, a hyper-elastic model for Neodymium Butadiene rubber is developed by using the Artificial Neural Network. Comparing the analytical results to those obtained by conventional models revealed that the proposed model shows better agreement for both uniaxial and equibiaxial test data of the rubber.

An improved energy prediction method to predict the fatigue life of laminated rubber-alloy spherical thrust elastomeric bearing under multiaxial loads

PurposeAn ideal method for predicting the fatigue life of spherical thrust elastomeric bearings has not been reported, thus far. This paper aims to present a method for predicting the fatigue life of laminated rubber spherical thrust elastomeric bearings.Design/methodology/approachFirst, the mechanical properties of standard rubber samples were tested; the axial stiffness, cocking stiffness, torsional stiffness and fatigue life of several full-size spherical thrust elastomeric bearings were tested. Then, the stiffness results were calculated using the neo-Hookean, Mooney–Rivlin and Yoeh models. Using a modified Mooney–Rivlin constitutive model, this paper proposes an improved method for fatigue life prediction, which considers the laminated characteristics of a spherical thrust elastomeric bearing and loads of multiple multi-axle conditions.FindingsThe Mooney–Rivlin model could accurately describe the stiffness characteristics of the spherical thrust elastomeric bearings. A comparative analysis of experimental results shows that the model can effectively predict the life of a spherical thrust elastomeric bearing within its range of use and the prediction error is within 20%.Originality/valueThe fatigue parameters of elastomeric bearings under multiaxial loads were fitted and corrected using experimental data and an accurate and effective multiaxial fatigue-life prediction expression was obtained. Finally, the software was redeveloped to improve the flexibility and efficiency of modeling and calculation.

Mechanical response of porcine hind leg muscles under dynamic tensile loading

A modified split Hopkinson tension bar (SHTB) apparatus was used to investigate the dynamic tensile mechanical response of porcine muscles. A hollow aluminum alloy transmission bar and a semiconductor strain gauge were used to enhance the weak signal from porcine muscles. A ring-shaped copper pulse shaper was used to achieve stress equilibrium and constant approximate strain rates in the specimens. The thin muscle specimen, fixed by 3D-printed clamps, was warped around the bar ends to minimize the radial inertial effect during tensile loading. The quasi-static tests at strain rates of 0.1 s∧-1 were also conducted on a universal material testing machine to investigate the strain rate dependence. The true stress-strain curves of porcine muscle tissues along the fiber direction were determined at approximate strain rates of 800 s∧-1, 2000 s∧-1, and 3000 s∧-1. The experimental results show that the porcine muscle exhibits nonlinear, rate-sensitive, and orthotropic behavior. The Mooney–Rivlin model with two material constants was sufficient to represent the tensile response of porcine muscles at each strain rate. The rate-dependent Fields–Backofen model can describe the high strain rate response of the porcine muscles.

ВОЗМОЖНОСТИ ОПТИМАЛЬНОГО ПРОЕКТИРОВАНИЯ АВТОМОБИЛЬНОЙ ШИНЫ ПО КРИТЕРИЮ ПРОСТРАНСТВЕННОЙ РАВНОПРОЧНОСТИ

A procedure is proposed for calculating the internal profile and optimal distribution of materials for a pneumatic car tire in a mold configuration. To adequately describe the elastic-dissipative properties of tire rubbers and rubber-cord composites, nonlinear elastic deformation Mooney–Rivlin model and viscoelastic Prony model as well as experimental data of static and dynamic tests are considered. An algorithm for finite element analysis of the stress-strain state of a passenger car tire is described in the MSC.Marc software package, and results of numerical solution of applied problems are presented on the tire landing on the rim and its loading with working pressure, as well as on the contact interaction of a passenger car tire with the road surface at maximum operating load at rest and during stationary rolling at a speed of 90 km/h. It was found that the contact loading of the tire when interacting with the road surface does not lead to a significant difference in the deformed state in the zone opposite diametrically to the contact zone from that for a tire mounted on a rim and loaded with excess operating pressure. In this case, the nature of the distribution of strains in the radial section near the contact zone of the tire with the road surface is the same under conditions of compression and stationary rolling. Areas of concentration of equivalent stresses and strains in the bead zone of the tire and in the zone of the edges of the breaker are revealed. For a quick comparison of competing tire designs, it is recommended to calculate the average values of the total strain energy density per wheel revolution. The developed calculation methods make it possible to predict the performance characteristics of automobile tires at the design stage and are tested in the manufacturing of these products.

A hyperelastic model for simulating cells in flow

In the emerging field of 3D bioprinting, cell damage due to large deformations is considered a main cause for cell death and loss of functionality inside the printed construct. Those deformations, in turn, strongly depend on the mechano-elastic response of the cell to the hydrodynamic stresses experienced during printing. In this work, we present a numerical model to simulate the deformation of biological cells in arbitrary three-dimensional flows. We consider cells as an elastic continuum according to the hyperelastic Mooney–Rivlin model. We then employ force calculations on a tetrahedralized volume mesh. To calibrate our model, we perform a series of FluidFM^{{textregistered }} compression experiments with REF52 cells demonstrating that all three parameters of the Mooney–Rivlin model are required for a good description of the experimental data at very large deformations up to 80%. In addition, we validate the model by comparing to previous AFM experiments on bovine endothelial cells and artificial hydrogel particles. To investigate cell deformation in flow, we incorporate our model into Lattice Boltzmann simulations via an Immersed-Boundary algorithm. In linear shear flows, our model shows excellent agreement with analytical calculations and previous simulation data.