Characterization of Recycled Rubber Using Particle Swarm Optimization Techniques

Uriarte, Irantzu; Zulueta, Ekaitz; Guraya, Teresa; Arsuaga, Mikel; Garitaonandia, I.; Arriaga, Aitor

doi:10.5254/rct.15.85916

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…On this topic, a great number of studies have been done, incorporating the ground tire rubber (GTR) into thermoplastics, thermosets, and rubbers . Recently in thermoplastics, GTR has been added to polypropylene (PP), low‐density polyethylene, high‐density polyethylene (HDPE), poly(vinyl chloride), and others . Usually the addition of GTR in polymers causes a degradation of their mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Sulfuric acid treatment of ground tire rubber and its effect on the mechanical and thermal properties of polypropylene composites

Hernández

Gámez

Farías-Cepeda

et al. 2017

J of Applied Polymer Sci

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Ground tire rubber (GTR) was modified by sulfuric acid in order to improve its compatibility with and reinforcement of a polypropylene (PP) matrix. Polymer composites PP/GTR were prepared by melt mixing at different concentrations, with a maximum of 50 wt % of GTR. Studies by Fourier transform infrared spectroscopy (FTIR), surface specific area by BET (Brunauer, Emmett, and Teller), and scanning electron microscopy were used to characterize the untreated GTR and treated GTR, while the mechanical and thermal properties of the PP/GTR composites were assessed to understand how the surface treatment of GTR affected the mechanical and thermal properties of the composite PP/GTR. FTIR revealed the presence of sulfonic groups on the surface of sulfuric acid–treated GTR, and BET analyses showed an increase of about 625% in the specific surface area as a result of the high porosity produced by the treatment. In all composites containing treated GTR, a higher Young's modulus was obtained than for composites containing untreated GTR. Particularly, an increase of about 275% in the Young's modulus was obtained in composites with treated GTR (40 wt %) against that containing untreated GTR. However, a more significant reduction of the elongation at break was observed in composites containing treated GTR than in those containing untreated GTR. Also, an increase of the crystallization temperature of PP as a function of GTR was observed by differential scanning calorimetry, but the crystallinity of the composites was reduced by the addition of both untreated and treated GTR. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 44858.

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Section: Introductionmentioning

confidence: 99%

Sulfuric acid treatment of ground tire rubber and its effect on the mechanical and thermal properties of polypropylene composites

Hernández

Gámez

Farías-Cepeda

et al. 2017

J of Applied Polymer Sci

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“…To express the constitutive relations of the material under study, different hyperelastic models were considered, as for example: Neo-Hookean, Mooney-Rivlin, Yeoh or Ogden models [46,47,48,49,50].…”

Section: State Of the Art Reviewmentioning

confidence: 99%

Visco-Hyperelastic Model with Damage for Simulating Cyclic Thermoplastic Elastomers Behavior Applied to an Industrial Component

et al. 2018

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Abstract:In this work a nonlinear phenomenological visco-hyperelastic model including damage consideration is developed to simulate the behavior of Santoprene 101-73 material. This type of elastomeric material is widely used in the automotive and aeronautic sectors, as it has multiple advantages. However, there are still challenges in properly analyzing the mechanical phenomena that these materials exhibit. To simulate this kind of material a lot of theories have been exposed, but none of them have been endorsed unanimously. In this paper, a new model is presented based on the literature, and on experimental data. The test samples were extracted from an air intake duct component of an automotive engine. Inelastic phenomena such as hyperelasticity, viscoelasticity and damage are considered singularly in this model, thus modifying and improving some relevant models found in the literature. Optimization algorithms were used to find out the model parameter values that lead to the best fit of the experimental curves from the tests. An adequate fitting was obtained for the experimental results of a cyclic uniaxial loading of Santoprene 101-73.

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“…The complex rheological substitute model of an engine mount was parameterized using particle swarm optimization based on test rig experiments. URIARTE [15] has shown the use of particle swarm optimization for the determination of material parameters of the hyper-elastic material model following Mooney-Rivlin [16]. The study describes particle swarm optimization as a simple and intelligent solution method that requires only a few parameters and leads to a solution quickly.…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning-Based Design Optimization of Chassis Bushings

Töpel,

Fuchs,

Büttner

et al. 2023

Vehicles

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In this work, a method is developed for the component design of chassis bushings with contoured inner cores, aided by artificial neural networks (ANNs) and design optimization. First, a model of a physical chassis bushing is generated using the finite element method (FEM). To determine the material parameters of the material model, a material parameter optimization is conducted. Based on the bushing model, different samples for a design study are generated using the design of experiments method. Due to invalid areas of the geometrical model definitions, constraints are established and the design parameter space is cleaned up. From the cleaned design parameter space, a database of several design parameter samples and three associated quasi-static stiffnesses, calculated with FEM simulations, is generated. The database is subsequently used for the training and hyper-parameter optimization of the ANN. Subsequently, the feed-forward ANN is employed in a design study, where stiffnesses are prescribed and design parameters identified. The design process is inverted with the help of a constrained design parameter optimization (DO), based on particle swarm optimization (PSO). Two usecases are defined for the evaluation of the design accuracy of the entire method. The design parameters found are validated by corresponding FEM simulations.

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Characterization of Recycled Rubber Using Particle Swarm Optimization Techniques

Cited by 8 publications

References 2 publications

Sulfuric acid treatment of ground tire rubber and its effect on the mechanical and thermal properties of polypropylene composites

Sulfuric acid treatment of ground tire rubber and its effect on the mechanical and thermal properties of polypropylene composites

Visco-Hyperelastic Model with Damage for Simulating Cyclic Thermoplastic Elastomers Behavior Applied to an Industrial Component

Machine-Learning-Based Design Optimization of Chassis Bushings

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