Design of composites using a generic unit cell model coupled with a hybrid genetic algorithm

Pelegri, Assimina A.; Kedlaya, Diwakar N.

doi:10.1016/j.compositesa.2008.05.006

Cited by 17 publications

(8 citation statements)

References 37 publications

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“…Finite Element (FE) and analytical models. The FE approaches have the potential to encapsulate more complexities of the 3D woven composite than analytical methods but are generally too computationally and time intensive [7]. This would make such methods unsuitable when trying to assess quickly numerous permutations of 3D weave architecture and the consequences of altering the constituent materials and weaving parameters on the mechanical performance of the composite.…”

Section: Introductionmentioning

confidence: 99%

Analytical elastic stiffness model for 3D woven orthogonal interlock composites

Buchanan

Grigorash

Archer

et al. 2010

Composites Science and Technology

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This research presents the development of an analytical model to predict the elastic stiffness performance of orthogonal interlock bound 3D woven composites as a consequence of altering the weaving parameters and constituent material types. The present approach formulates expressions at the micro level with the aim of calculating more representative volume fractions of a group of elements to the layer. The rationale in representing the volume fractions within the unit cell more accurately was to improve the elastic stiffness predictions compared to existing analytical modelling approaches. The models developed in this work show good agreement between experimental data and improvement on existing predicted values by models published in literature.

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Section: Introductionmentioning

confidence: 99%

Analytical elastic stiffness model for 3D woven orthogonal interlock composites

Buchanan

Grigorash

Archer

et al. 2010

Composites Science and Technology

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“…Experimental tests have also proved the high accuracy of the presented equations. In the next step, using genetic algorithm (GA) 20–23 eccentricity of mandrel is optimized to obtain desired braid angle on individual faces.…”

Section: Introductionmentioning

confidence: 99%

“…GA is used to achieve the desired goals including minimizing or maximizing the objective function based on a biological algorithm. 20–23…”

Section: Introductionmentioning

confidence: 99%

Prediction and optimization of yarn path in braiding of mandrels with flat faces

Fouladi

Nedoushan

2017

Journal of Composite Materials

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Braided preforms are used in many applications to make modern textile composites. Mechanical properties of braided composites are strongly dependent on braided preform’s characteristics such as braid angle and yarn spacing. In this paper, theoretical relationships are presented to predict these parameters in braiding of a mandrel with flat faces. These relationships are very simple in deriving and coding and also they are suitable for sharp edges. It was observed that considering the distance between the yarn’s fell point on the mandrel and guide ring plane is an important issue to calculate an accurate braid angle. Braid angle and yarn spacing was also measured experimentally. Theoretical relations predictions are in close agreement with experimental measurements. The effects of the mandrel aspect ratio and the mandrel eccentricity to produce a part with variable braid angle are investigated. It is observed that while mandrel dimension aspect ratio has no significant effect, the braid angle can be considerably varied from one face to another face by locating the mandrel out of the center of the machine. An optimization process is proposed to find the best mandrel eccentricity to manufacture a preform with desired braid angles on individual faces.

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“…These can be either continuous or discrete. Besides other types of design variables were used like lamination parameters, 56 300,377,424,425 material of matrix and/or fiber, 194,377,424,425,431,545,876,923 material properties of constituent materials like elastic modulus, Poisson's ratio, density, 113,945,966 parameters defining the distribution of material properties, 900,960,961 volume fraction of particulate fillers, 352,737 fiber volume fraction, 6,7,11,13,14,16,44,69,76,91,105,106,113,127,146,148,177,200,239,240,274,308,310,336,377,[424][425][426]431,441,486,502,533,545,618,…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of Composite Structures: A Literature Survey (1969–2009)

Sonmez

2016

Journal of Reinforced Plastics and Composites

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Optimum structural design of composites is a research subject that has drawn the attention of many researchers for more than 40 years with a growing interest. In this study, a review of the literature on this subject is presented. The papers are classified according to the type of the composite structure optimized in those studies, the loading conditions, the objective function, the structural analysis method, the design variables, the constraints, the failure criteria, and the search algorithm used by the researchers.

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Design of composites using a generic unit cell model coupled with a hybrid genetic algorithm

Cited by 17 publications

References 37 publications

Analytical elastic stiffness model for 3D woven orthogonal interlock composites

Analytical elastic stiffness model for 3D woven orthogonal interlock composites

Prediction and optimization of yarn path in braiding of mandrels with flat faces

Optimum Design of Composite Structures: A Literature Survey (1969–2009)

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