Accurate predictions of fiber orientation and mechanical properties in long‐fiber‐reinforced composite with experimental validation

Tseng, Huan-Chang; Goto, Motonori; Chang, Rong‐Yeu; Hsu, Chia-Hsiang

doi:10.1002/pc.24361

Cited by 13 publications

(6 citation statements)

References 35 publications

(74 reference statements)

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“…The fact th length of the reinforcing fibres is greater than the usual thickness of thin-walled inj moulded parts (1.5 to 2 mm) results in a particularly layered distribution of the fi Orientation in the thickness direction is practically impossible. This is illustrated in F 4, which shows the typical fibre orientation over the thickness using the compone the fibre orientation tensor [25]. It can be seen that high values of a11 occur in areas to the edge.…”

Section: Materials and Specimen Geometrymentioning

confidence: 92%

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Fatigue Behaviour and Its Effect on the Residual Strength of Long-Fibre-Reinforced Thermoplastic PP LGF30

Witzgall,

Gadinger,

Wartzack

2023

Materials

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It is undeniable that mechanical properties, such as the stiffness or residual strength of fibre-reinforced thermoplastics, are adversely affected by fatigue damage caused by cyclic loading. In order to quantify and predict this damage influence, a calculation approach was developed in the past for the subgroup of short-fibre-reinforced thermoplastics. In order to test and expand the applicability of this approach to the field of long-fibre-reinforced thermoplastics, the decrease in mechanical properties is investigated experimentally in this paper using PP LGF30, propylene reinforced with long glass fibres, as an example. The paper describes both the fatigue behaviour and the residual strength of the material after fatigue damage. A decrease in the residual strength of up to about 35% could be recorded. The paper also presents a modelling approach that predicts the orientation-dependent fatigue strength of the material, and furthermore allows for the calculation of its residual strength as a function of fatigue damage. The novelty of the contribution lies in the continuous modelling of fatigue behaviour for arbitrary oriented samples of long-fibre-reinforced thermoplastics and also in the prediction of its residual strength depending on previously induced fatigue damage.

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Section: Materials and Specimen Geometrymentioning

confidence: 92%

“…Orientation in the thickness direction is practically impossible. This is illustrated in Figure 4 , which shows the typical fibre orientation over the thickness using the components of the fibre orientation tensor [ 25 ]. It can be seen that high values of a 11 occur in areas close to the edge.…”

Section: Materials and Specimen Geometrymentioning

confidence: 99%

Fatigue Behaviour and Its Effect on the Residual Strength of Long-Fibre-Reinforced Thermoplastic PP LGF30

Witzgall,

Gadinger,

Wartzack

2023

Materials

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“…This microstructure determines the parts main properties. With suitable accuracy of the predicted fiber microstructure the resulting anisotropic mechanical properties can be reliably calculated [8][9][10][11][12]. Thus, the part's behavior can also be determined in structural simulations.…”

Section: State Of the Artmentioning

confidence: 99%

Calibration of Fiber Orientation Simulations for LFT—A New Approach

2020

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Short fiber reinforced thermoplastics (SFT) are extensively used due to their excellent mechanical properties and low processing costs. Long fiber reinforced thermoplastics (LFT) show an even more interesting property profile and are increasingly used for structural parts. However, their processing by injection molding is not as simple as for SFT, and their anisotropic properties resulting from the fiber microstructure (fiber orientation, length, and concentration) pose a challenge with regard to the engineering design process. To reliably predict the structural mechanical properties of fiber reinforced thermoplastics by means of micromechanical models, it is also necessary to reliable predict the fiber microstructure. Therefore, it is crucial to calibrate the underlying prediction models, such as the fiber orientation model, within the process simulation. In general, these models may be adjusted manually, but this is usually ineffective and time-consuming. To overcome this challenge, a new calibration method was developed to automatically calibrate the fiber orientation model parameters of the injection molding simulation by means of optimization methods. This optimization routine is based on experimentally determined fiber orientation distributions and leads to optimized parameters for the fiber orientation prediction model within a few minutes. To better understand the influence of the model parameters, different versions of the fiber orientation model, as well as process and material influences on the resulting fiber orientation distribution, were investigated. Finally, the developed approach to calibrate the fiber orientation model was compared with a classical approach, a direct optimization of the whole process simulation. Thereby, the new optimization approach shows a calculation time reduced by the factor 15 with comparable error variance.

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“…In research carried out by Tseng and colleagues [17], fibre orientation de with Moldex3D simulation software was compared to values measured with mi short-GF-reinforced composites, on long-GF-reinforced composites [18,19] an long carbon-fibre-reinforced composites [20,21]. It was stated that by using an i Fibre orientation during injection moulding with a sprue gate of a 1.5 mm thick, circular disk from a polycarbonate composite with a 10 wt% short glass fibre (GF) reinforcement was measured with optical microscopy at three different points and compared to the predictions determined with the Moldflow simulation software in a study carried out by Neves and colleagues [16].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Applicability of Multi-Stage Simulations in the Case of a Thick-Walled Injection-Moulded Composite

2022

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The structure and mechanical properties of an injection-moulded short glass fibre (GF)-reinforced polymer composite were analysed through simulation methods. Fibre orientation, which evolves during the production of a thick-walled automotive part, was determined with an injection moulding simulation. Next, using the material model for the injected product, the force that resulted from the given deformation was determined with finite element software. To validate the simulation results, the examined products were manufactured with 30% reinforced GF, and then measurements were carried out. The validation of the fibre orientation tensor was achieved with optical microscope images, while the validation of the finite element, which analysed the flexural tests, was carried out through a comparison of flexural rigidity. The aim of the project was to verify the reliability of multi-stage finite element software. According to the results, in the case of a thick-walled GF-reinforced product, it was demonstrated that the integration of a different finite element software could be used reliably.

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Accurate predictions of fiber orientation and mechanical properties in long‐fiber‐reinforced composite with experimental validation

Cited by 13 publications

References 35 publications

Fatigue Behaviour and Its Effect on the Residual Strength of Long-Fibre-Reinforced Thermoplastic PP LGF30

Fatigue Behaviour and Its Effect on the Residual Strength of Long-Fibre-Reinforced Thermoplastic PP LGF30

Calibration of Fiber Orientation Simulations for LFT—A New Approach

Experimental Investigation and Applicability of Multi-Stage Simulations in the Case of a Thick-Walled Injection-Moulded Composite

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