Finite Element Simulation of Low Velocity Impact Damage in Composite Laminates

Jagtap, K.R.; Ghorpade, S.Y.; Lal, Achchhe; Singh, B.N.

doi:10.1016/j.matpr.2017.02.098

Cited by 18 publications

(8 citation statements)

References 1 publication

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“…Automakers like BMW uses it for the manufacturing of interior door panel, underbody panels, and so on. [59][60][61][62] Ramie fibers. It falls under Urticaceae family having a low density as compared to other synthetic fibers.…”

Section: Different Types Of Natural Fibersmentioning

confidence: 99%

Progress of novel techniques for lightweight automobile applications through innovative eco-friendly composite materials: A review

Agarwal

Sahoo

Mohanty

et al. 2019

Journal of Thermoplastic Composite Materials

139

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The uncertain climatic changes-related issues in the recent times has led an apprehension for all automotive makers to develop innovative composite materials to reduce vehicle’s fuel consumption. Hence, this review article has given special attention toward the factors that motivated several automakers to undergo research on biocomposites as it plays an important role for biodegradability and sustainability across the globe. In particular, cellulose nanofibers-reinforced composites are the main research focus in the current scenario which can be applied for different automotive applications with numerous advantages and abundant accessibility. Polypropylene (PP) is the emerging polymer in the automotive industry, and many researchers are now mainly focusing their research on PP-based composites which can serve as a boon for different environmental problems faced by the current scenario as depicted by Figure 1. It also reported the recent advancement on the development of innovative composite materials by different automakers with regard to finding suitable actions for reduction of fuel consumption to the recommended confines.

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Section: Different Types Of Natural Fibersmentioning

confidence: 99%

Progress of novel techniques for lightweight automobile applications through innovative eco-friendly composite materials: A review

Agarwal

Sahoo

Mohanty

et al. 2019

Journal of Thermoplastic Composite Materials

139

View full text Add to dashboard Cite

show abstract

“…In both cases, experimental as well as numerical analyses were performed. Jagtap et al [4] carried out finite element (FE) simulation for damage identification of laminated plates due to impact loading.…”

Section: R E V I S E D P R O O Fmentioning

confidence: 99%

“…Fig 13. Effect of variation of stacking sequence (quasi-isotropic stiff laminate (0°, 45°, − 45°, 90°)s, torsion stiff laminate (45°, − 45°, 45°, − 45°)s, cross ply laminate (90°, 0°, 90°, 0°)s and bending stiff laminate (0°, 0°, 30°, − 30°)s on low-velocity impact responses considering t = 0.002 m, ѱ = 0°, β = 0°, V = 5 m/s, ρ = 0.0085 N−s cm4 …”

mentioning

confidence: 99%

Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms

Mukhopadhyay

Naskar

Chakraborty

et al. 2020

Arch Computat Methods Eng

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Due to the absence of adequate control at different stages of complex manufacturing process, material and geometric properties of composite structures are often uncertain. For a secure and safe design, tracking the impact of these uncertainties on the structural responses is of utmost significance. Composite materials, commonly adopted in various modern aerospace, marine, automobile and civil structures, are often susceptible to low-velocity impact caused by various external agents. Here, along with a critical review, we present machine learning based probabilistic and non-probabilistic (fuzzy) low-velocity impact analyses of composite laminates including a detailed deterministic characterization to systematically investigate the consequences of source-uncertainty. While probabilistic analysis can be performed only when complete statistical description about the input variables are available, the non-probabilistic analysis can be executed even in the presence of incomplete statistical input descriptions with sparse data. In this study, the stochastic effects of stacking sequence, twist angle, oblique impact, plate thickness, velocity of impactor and density of impactor are investigated on the crucial impact response parameters such as contact force, plate displacement, and impactor displacement. For efficient and accurate computation, a hybrid polynomial chaos based Kriging (PC-Kriging) approach is coupled with in-house finite element codes for uncertainty propagation in both the probabilistic and non-probabilistic analyses. The essence of this paper is a critical review on the hybrid machine learning algorithms followed by detailed numerical investigation in the probabilistic and non-probabilistic regimes to access the performance of such hybrid algorithms in comparison to individual algorithms from the viewpoint of accuracy and computational efficiency.

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“…Other authors have predicted the low velocity impact damage through LS-Dyna such as: K.-H. Jung et al [64], O. Shor and R. Vaziri [65], K. R. Jagtap et al [66] and P. Rawat et al [67]. Ginzburg et al [68] have validated the numerical model experimentally using the C-scan and the tomography CT.…”

Section: Finite Element Modelling Of Low Velocity Impactmentioning

confidence: 99%

Review of damages prediction in a composite material at low velocity impact

Khathyri¹,

Elkihel²,

Delaunois³

2019

Glob. J. Eng. Tech. Adv.

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The numerical prediction of composite material damages remains a strong tool that develops day by day. Several numerical models have been developed in the literature for simulating the progressive damage. In this paper the most used low velocity impacts numerical methods available in the literature are reviewed. First the various damage mechanisms of laminated composite materials are described. Then, different damages modelling are presented, from the onset to the final rupture. Finally, some results of the finite element model (FEM) are reported.

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Finite Element Simulation of Low Velocity Impact Damage in Composite Laminates

Cited by 18 publications

References 1 publication

Progress of novel techniques for lightweight automobile applications through innovative eco-friendly composite materials: A review

Progress of novel techniques for lightweight automobile applications through innovative eco-friendly composite materials: A review

Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms

Review of damages prediction in a composite material at low velocity impact

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