The effect of stacking sequence and circumferential ply drop locations on the mechanical response of type IV composite pressure vessels subjected to internal pressure: A numerical and experimental study

Nebe, Martin; Johman, A.; Braun, C.; Campen, J.M.J.F. van

doi:10.1016/j.compstruct.2022.115585

Cited by 20 publications

(6 citation statements)

References 27 publications

(73 reference statements)

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“…Moreover, a plenty of matrix failure occurred on the helical wound layers followed by fiber failure on the hoop wound layers. Nebe M. et al [22] studied numerically and experimentally the burst pressure and mechanical behavior of Type IV composite pressure vessels under internal pressure. The effects of stacking sequence and the locations of circumferential ply drop were aimed in the study.…”

Section: Simulation Literaturementioning

confidence: 99%

Prediction of First Ply Failure of Composite Pressure Vessels Under Internal Pressure: A review

Farhood¹,

Singal²

2022

AJES

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Composite pressure vessels (i.e. types III and IV) are widely used for compressed natural gas (CNG) vehicles, as storage cylinders to reduce the weight while maintaining high mechanical properties. These vessels can achieve 70-80% of weight saving, as compared to steel vessels (type I). So, prediction of first ply failure and burst pressure of these vessels is of great concern. Thus, this paper involved a review of literature regarding the first ply failure and burst pressure of composite pressure vessels (types III and IV). The review included the researches related to the simulation, mathematical modeling, and experimental analysis. The study focused on simulation-related research more than others due to the complexities of mathematical modeling of such problems in addition to the high cost of experimental tests. The results indicated that the stacking sequence of layers, vessel thickness and the type of selected composites were the main factors that mainly affect the vessel burst pressure performance. Accordingly, the optimization in the vessel structure (composite fabric architecture) parameters plays an important role in the performance of burst pressure. This in turn will lead to a high vessel durability, longer life-time and better prediction of burst pressure. Furthermore, the study showed that the prediction of first ply failure is more important than burst pressure knowledge of pressure vessels because it gives an initial prediction of vessel failure before the final failure occurrence. This in turn, may prevent the catastrophic damage of vessel.

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Section: Simulation Literaturementioning

confidence: 99%

Prediction of First Ply Failure of Composite Pressure Vessels Under Internal Pressure: A review

Farhood¹,

Singal²

2022

AJES

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“…As a result, it was revealed that cumulative damage formation was less in composite pipes with GCG stacking sequence than in CGG composite pipes. In another study, [ 17 ] the effect of stacking sequence on mechanical behavior was investigated in type IV composite pressure vessels subjected to internal pressure. As a result of the study, it was concluded that the stacking sequences determine the stiffness distribution throughout the thickness, and thus affect the cylinder expansion in the tangential direction.…”

Section: Introductionmentioning

confidence: 99%

“…Some design parameters such as stacking sequence, [16][17][18][19] fiber material, [20] fiber orientation [21] and nanomaterial additive [22] are significantly effective on the mechanical properties of the composite overwrapped pressure vessels and composite pipes. Therefore, many studies have been carried out to determine the effect of design parameters on mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, many studies have been carried out to determine the effect of design parameters on mechanical properties. [16][17][18][19][20][21][22] In the study conducted by Sharma et al, [23] FEM analyses for the composite pressure vessels with six different dome shapes as hemispherical, paraboloid, ellipsoid (I), ellipsoid (II), ellipsoid (III), and isotensoid were carried out, and effects of the dome shape on the burst pressure, failure characteristics and weight performance were examined. For each dome shape, mathematical models of the thickness along the dome were created depending on the dome height.…”

Section: Introductionmentioning

confidence: 99%

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Design of the composite hydraulic cylinder with geodesic dome trajectory: A numerical study

Coskun

Şahi̇n

2022

Polymer Composites

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Hydraulic cylinders are used in many different areas from aviation to construction machinery and are generally manufactured using conventional steels that stand out with their low strength to weight ratio. In this study, it was aimed to design a hydraulic cylinder using composite materials to reduce cylinder weight. In this context, a novel composite hydraulic cylinder was designed, and numerical analyses for the composite portions of the hydraulic cylinder were carried out. For the numerical model, an aluminium liner and cylinder heads with the geodesic dome profiles were used, and composite layers were formed on their surfaces by using the Ansys ACP module. In the numerical

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“…Tensile and radial compressive loads affect the mechanical properties of glass/phenolic composite tubes. Nebe [ 10 ] investigated the effect of stacking sequence and circumferential layer drop position on the mechanical response of an internal-pressured type IV composite pressure vessel and the results indicated that the mechanical properties of the laminate were significantly influenced by the laminate design. At the same time, the difficulty in studying laminate design is that there is no universal optimal solution for the best laminate design under different working conditions.…”

Section: Introductionmentioning

confidence: 99%

Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models

Liao

Qiu

Yang³

et al. 2022

Polymers

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Experimental and numerical investigations are presented for a theory-guided machine learning (ML) model that combines the Hashin failure theory (HFT) and the classical lamination theory (CLT) to optimize and accelerate the design of composite laminates. A finite element simulation with the incorporation of the HFT and CLT were used to generate the training dataset. Instead of directly mapping the relationship between the ply angles of the laminate and its strength and stiffness, a multi-layer interconnected neural network (NN) system was built following the logical sequence of composite theories. With the forward prediction by the NN system and the inverse optimization by genetic algorithm (GA), a benchmark case of designing a composite tube subjected to the combined loads of bending and torsion was studied. The ML models successfully provided the optimal layup sequences and the required fiber modulus according to the preset design targets. Additionally, it shows that the machine learning models, with the guidance of composite theories, realize a faster optimization process and requires less training data than models with direct simple NNs. Such results imply the importance of domain knowledge in helping improve the ML applications in engineering problems.

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The effect of stacking sequence and circumferential ply drop locations on the mechanical response of type IV composite pressure vessels subjected to internal pressure: A numerical and experimental study

Cited by 20 publications

References 27 publications

Prediction of First Ply Failure of Composite Pressure Vessels Under Internal Pressure: A review

Prediction of First Ply Failure of Composite Pressure Vessels Under Internal Pressure: A review

Design of the composite hydraulic cylinder with geodesic dome trajectory: A numerical study

Accelerating the Layup Sequences Design of Composite Laminates via Theory-Guided Machine Learning Models

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