Characterization of adhesives and interface strength for automotive applications

Ozturk, B.; Gromala, Przemyslaw Jakub; Otto, Corinne; Fischer, Andreas; Jansen, K.M.B.; Ernst, L.J.

doi:10.1109/esime.2012.6191807

Cited by 6 publications

(6 citation statements)

References 5 publications

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“…If insufficient attention is given to the sample making, the samples can have voids which affect the results dramatically. Authors suggest checking the samples with scanning acoustic microscopy (SAM) to assess if they can be used for testing [6]. Thawing time, dispensing speed and how the dispensing is done are the three important Issues to be considered during the specImen preparati on.…”

Section: Sample Preparationmentioning

confidence: 99%

“…Although polytetrafluoroethylene (P TFE) molds are used in [6], it is realized that dimensions of the PTFE molds are changing when they are used under a platen press. Tn this study, to prevent changes in dimensions, PTFE coated steel molds are used to produce dog-bone samples.…”

Section: Sample Preparationmentioning

confidence: 99%

“…The material used in this study, ECA, is fully characterized (e.g. storage modulus, bulk modulus, cure shrinkage and kinetics) and the results are partially published in [6], Finite element analysis is used to obtain a dedicated geometry where the shape of the dogbone is optimized. With the new geometry, the stresses are not concentrated near the clamps but are distributed over a region, mainly in the reduced section of the specimen.…”

Section: Introductionmentioning

confidence: 99%

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Finite element based design of a new dogbone specimen for low cycle fatigue testing of highly filled epoxy-based adhesives for automotive applications

Ozturk

Gromala

Silber

et al. 2013

2013 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and

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Highly filled epoxy-based adhesives are used as thermal and electrical interfaces in automotive electronics. The successful design for reliability of electronic packages depends on understanding and modeling the fatigue behavior of these materials. Both mechanical and thermal loadings are varying in a cyclic manner in test or field conditions. To establish an adequate constitutive model describing the thermo-mechanical behavior under cyclic mechanical and thermal loading, material testing is required on a dedicated test specimen. Current specimen geometries which are used to describe fatigue behavior of highly filled epoxy-based materials fail to describe the mechanical behavior, They contain stress concentrations near the clamping area, which leads to the failure within these areas and not in the reduced section of the beam.In this paper, a new test sample with dogbone geometry is designed by utilizing finite element analysis (FEA). A design space (DoE) is used to analyze the effect of important parameters (e.g. thickness, length and radius) that influence the stress distribution. The optimum design point is selected by FEA of stresses in the reduced section of the beam and near the clamping. In order to validate the . simulations, expe : iments are done with samples, whIch are produced wIth the help of PTFE coated steel molds. This approach is shown to improve the existing dogbone designs and validity of the low cycle fatigue testing.

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Section: Sample Preparationmentioning

confidence: 99%

Section: Sample Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Finite element based design of a new dogbone specimen for low cycle fatigue testing of highly filled epoxy-based adhesives for automotive applications

Ozturk

Gromala

Silber

et al. 2013

2013 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and

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“…In the confined conditions of a bonded assembly, this volume reduction may be restrained by the presence of the substrate. As the mechanical stiffness of the adhesive increases, this shrinkage might initiate the development of residual stresses and may lead to early failure especially during subsequent thermal cycling conditions or mechanical loadings [12,14,18,25,27]. In order to predict these residual stresses and to prevent adhesive related failures, the mechanical behavior of adhesives must be well understood especially during curing in order to model and predict their mechanical response all along the process.…”

Section: Introductionmentioning

confidence: 99%

A simple characterization methodology for the identification of the visco-elastic behavior of thermoset adhesives during cure

et al. 2020

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The identification of the mechanical behavior of adhesives is necessary to describe the development of residual stresses during their curing, which might impact their mechanical strength and lead to early failure of the bonding. A simple characterization and modeling approach is therefore developed and presented, which permits to monitor and identify the mechanical behavior of a thermosetting adhesive during the whole curing process. The test method is based on a compressive test, which consists in applying a periodic displacement and recording the subsequent load variations during cure. The test set-up relies on a simple apparatus as it consists in steel cylinders mounted on a standard tensile test machine. The analysis of the mechanical behavior is based on an analytical description of a visco-elastic constitutive law following the Maxwell model, leading to the identification of the material apparent viscosity and Young's modulus. This characterization methodology is applied to an epoxy adhesive during cure. The obtained mechanical properties are in good agreement with values provided by the material supplier, which permits to validate the developed methodology.

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“…Devido a sua fácil processabilidade, grande versatilidade e ao seu baixo custo de produção, principalmente quando utilizado em grandes volumes, os materiais poliméricos vêm sendo utilizados em larga escala na indústria automotiva (Glauch et al, 1997;He et al, 2001;Canevarollo, 2002;Hemais, 2003;Bissoto & Sydenstricker, 2006;Guarnieri & Hatakeyama, 2010;Amatucci & Bernardes, 2009;Salerno et al, 2010;Ozturk et al, 2012).…”

Section: Introductionunclassified

Aplicação de redes Neuro Fuzzy ao processamento de peças automotivas por meio de injeção de polímeros

Affonso

Sassi

2014

Prod.

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O processamento de peças automotivas por meio de injeção de polímeros envolve vários fenômenos físicos que ocorrem simultaneamente e que possuem caráter não linear e multivariável. Softwares comerciais podem ser utilizados na previsão dos parâmetros do processo, o que pode ser caro e inviável. Pode-se determinar os parâmetros de forma analítica, mas o tratamento desse problema requer a aplicação de teorias clássicas dos fenômenos de transporte, de difícil equacionamento. As redes NeuroFuzzy são aplicáveis a esse problema porque reúnem a capacidade de aprender das redes neurais artificiais com a capacidade da lógica Fuzzy de transformar variáveis linguísticas em regras. Neste trabalho combinou-se uma rede neural artificial Multilayer Perceptron e uma rede neural artificial Radial Basis Function à lógica Fuzzy para construir-se um modelo de inferência que previu o tempo de ciclo de processos de injeção de polímeros. Os resultados obtidos confirmam as redes NeuroFuzzy como opção para esse tipo de problema.

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Characterization of adhesives and interface strength for automotive applications

Cited by 6 publications

References 5 publications

Finite element based design of a new dogbone specimen for low cycle fatigue testing of highly filled epoxy-based adhesives for automotive applications

Finite element based design of a new dogbone specimen for low cycle fatigue testing of highly filled epoxy-based adhesives for automotive applications

A simple characterization methodology for the identification of the visco-elastic behavior of thermoset adhesives during cure

Aplicação de redes Neuro Fuzzy ao processamento de peças automotivas por meio de injeção de polímeros

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