2014
DOI: 10.1016/j.ijsolstr.2014.03.016
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On the simulation of panel distortions due to hot curing adhesives

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Cited by 13 publications
(10 citation statements)
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“…The constitutive equations for the adhesive in that model coincides with the ones used in a previous work of the authors (Priesnitz et al, 2014b) with minor modifications. For completeness reasons, those are summarized here.…”
Section: Simulationmentioning
confidence: 65%
See 1 more Smart Citation
“…The constitutive equations for the adhesive in that model coincides with the ones used in a previous work of the authors (Priesnitz et al, 2014b) with minor modifications. For completeness reasons, those are summarized here.…”
Section: Simulationmentioning
confidence: 65%
“…To that end, the material constants of a commercial epoxy-based hot-curing adhesive system, Betamate 1496V (BM1496V), are determined. The simulation model is based on an earlier work by Priesnitz et al (2014b) and allows for chemically and thermally induced property changes of the adhesive. Priesnitz et al (2014a) provide experimental data on distortion development in different cure cycles, which is used as a comparison for the simulation results.…”
Section: Calculated Residual Stresses In a Bi-mentioning
confidence: 99%
“…These are changes in temperature, leading to thermal stresses; changes in moisture (or other absorbed solvent) content, leading to hygroscopic stresses, and changes due to chemical reactions in polymer matrix, leading to curing stresses. 23 For simplicity, we did not consider the hygroscopic stresses and curing stresses, and only included thermal residual stress in our models. 24 A thermal load, defined as a uniform temperature drop from the cure temperature of 127 C to ambient temperature of 25 C, was imposed before the tensile load.…”
Section: Residual Stressesmentioning
confidence: 99%
“…It can be seen that neglecting the mechanical properties of the adhesive in the heating and holding stage was easy to lead to large prediction deviation. Therefore, in order to achieve accurate prediction, some scholars proposed a multi-phase model covering the whole temperature cycle [14][15][16][17]. These models have been applied in coating process [15], resin mold material [16] and electronic packaging [17].…”
Section: Introductionmentioning
confidence: 99%