A novel algorithm for significantly increasing the fiber volume fraction in the reconstruction model with large fiber aspect ratio

Li, Zeyang; Liu, Zhao; Xue, Yongbo; Zhu, Ping

doi:10.1177/15280837211032078

Cited by 5 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The runtime for the unidirectional case is extremely small, as expected. Indeed, even random sequential addition (RSA) methods [14][15][16][17] are able to generate unidirectional states at high filler fraction. Non-aligned fiber-orientation states are more difficult to handle, and this is where most traditional algorithms have their limitations.…”

Section: Results Of Varying Fiber-length Parametersmentioning

confidence: 99%

“…Simple algorithms based on random sequential addition (RSA) [10,11] fail to produce microstructures with industrial volume fraction and moderate fiber aspectratio, i.e., the quotient of fiber length and diameter, and this limitation is intrinsic [12,13]. Therefore, a number of improved RSA methods was introduced [14][15][16][17]. Sequential deposition [18,19], flexible fiber based [20,21] and collec-tive re-arrangement algorithms [22][23][24] are more successful when it comes to reaching the desired volume fractions.…”

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

A sequential addition and migration method for generating microstructures of short fibers with prescribed length distribution

Mehta

Schneider

2022

Comput Mech

View full text Add to dashboard Cite

We describe an algorithm for generating fiber-filled volume elements for use in computational homogenization schemes. The algorithm permits to prescribe both a length distribution and a fiber-orientation tensor of second order, and composites with industrial filler fraction can be generated. Typically, for short-fiber composites, data on the fiber-length distribution and on the volume-weighted fiber-orientation tensor of second order is available. We consider a model where the fiber orientation and the fiber length distributions are independent, i.e., uncoupled. We discuss the use of closure approximations for this case and report on identifying the describing parameters of the frequently used Weibull distribution for modeling the fiber-length distribution. We discuss how to integrate these procedures in the Sequential Addition and Migration algorithm, developed for fibers of equal length, and work out algorithmic modifications accounting for possibly rather long fibers. We investigate the capabilities of the introduced methodology for industrial short-fiber composites, demonstrating the rather low dispersion of the effective elastic moduli for the generated unit cells.

show abstract

Section: Results Of Varying Fiber-length Parametersmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

A sequential addition and migration method for generating microstructures of short fibers with prescribed length distribution

Mehta

Schneider

2022

Comput Mech

View full text Add to dashboard Cite

show abstract

“…Results indicated that the cross-sectional morphology of fibers with high fiber volume fractions tended to be more rectangular under varying compaction loads, thus providing valuable insights for the prediction of composite material performance. Li et al 14 put forward a novel algorithm for enhancing the fiber volume fraction in the reconstruction model of short cut fiber reinforced composites with large aspect ratios. This algorithm enables the pre-design and control of fiber orientation and length distribution in the reconstruction model, resulting in a significant increase in fiber volume fraction in the range of 50∼200 fiber aspect ratio.…”

Section: Introductionmentioning

confidence: 99%

C/C soft-hard mixed preform multi-units compression compaction viscoelastic rebound technique and optimization

Baolong,

Jiuzhi,

Hongqing

et al. 2023

Journal of Industrial Textiles

View full text Add to dashboard Cite

To address the issue of non-uniform fiber volume fraction between layers in the compression compaction process of C/C soft-hard mixed preforms, a multi-unit variable duration cyclic compression compaction process based on the inter-laminar fiber compression viscoelastic deformation behavior is proposed. This process aims to gradually eliminate the rebound characteristics of inter-laminar fibers and reduce the error of inter-laminar fiber volume fraction. The mapping relationships between the number of units, holding duration, and compaction times with the rebound height of inter-laminar fibers are established using data fitting. The compression compaction process is determined using the Box Behnken response surface design method, and digital devices are utilized for preform compaction experiments. The micro-morphology of the preform is observed using an optical microscope, and the density of inter-laminar fibers before and after process optimization is compared. Experimental results indicate that when the number of units is 3, the holding duration is 57 s, and the compaction times is 2, the fiber volume fraction of the soft-hard mixed preform is 42.90%, which is 12.16% higher than before process optimization, and the error of inter-laminar fiber volume fraction is less than 6.5%.

show abstract

“…5,6 However, numerous studies have found that the fibers are distributed at random. 7,8,9,10 Many efficient methods for achieving the random fiber distributions of the RVEs that correspond to the crosssections of unidirectional FRC have been developed by researchers. Buryachenko et al 11 elaborated the background notions and definitions of the random fiber distributions, and provide a method for obtaining the fiber centroid coordinates of using a random distribution method based on a digital image processing technology.…”

Section: Introductionmentioning

confidence: 99%

Efficient generation of random fiber distributions in fiber reinforced composites

Kou

Feng

Zhang

et al. 2023

Journal of Reinforced Plastics and Composites

View full text Add to dashboard Cite

This paper proposes a new algorithm to generate representative volume elements (RVEs) with random fiber distribution in fiber reinforced composites (FRC). The proposed algorithm is straightforward and easy to implement based on judging the maximum and minimum distances between a new fiber and existing fibers. The generation results demonstrate that the maximum fiber volume fraction gradually increases and oscillates violently before reaching 78.54% as the fiber radius rises. Moreover, with the increase of RVE size, the maximum fiber volume fraction changes gently when the fiber radius does not exceed 6.5 μm, but it changes dramatically at other fiber radii. Then, the fiber distributions of the generated RVEs are evaluated using the nearest neighbor distance, Ripley’s K function, and pair distribution function. The evaluation results indicate that the fiber distributions present randomness. Lastly, the effective elastic properties of the Carbon/Epoxy unidirectional FRC are predicted using the RVEs generated by the proposed algorithm, the RVEs generated by regularization, and the Mori–Tanaka method. It is found that the prediction using the RVEs generated by the proposed algorithm is more accurate than the regularization, compared with the Mori–Tanaka and experiment results. The proposed algorithm contributes to microstructure modeling in computational micromechanics.

show abstract

A novel algorithm for significantly increasing the fiber volume fraction in the reconstruction model with large fiber aspect ratio

Cited by 5 publications

References 45 publications

A sequential addition and migration method for generating microstructures of short fibers with prescribed length distribution

A sequential addition and migration method for generating microstructures of short fibers with prescribed length distribution

C/C soft-hard mixed preform multi-units compression compaction viscoelastic rebound technique and optimization

Efficient generation of random fiber distributions in fiber reinforced composites

Contact Info

Product

Resources

About