Homogenization of metallic fiber-reinforced composites under stochastic ageing

Kamiński, Marcin; Leśniak, Marta

doi:10.1016/j.compstruct.2011.07.027

Cited by 14 publications

(7 citation statements)

References 5 publications

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“…Each time we present the set of various approximations for the interrelation between the thermo-pulsation and the given variable within some neighborhood of its mean value and, further, first and second order sensitivities of this thermopulsation to this parameter within the same domain. Each time we explore the usage of Newton, Lagrange, monomial and power approximations of this response function and their influence on the final values of the 6 Second order sensitivity of thermo-pulsation with respect to the piezoelectric constant sensitivity gradients. As it is documented by Fig.…”

Section: Computational Analysismentioning

confidence: 99%

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Sensitivity, probabilistic and stochastic analysis of the thermo-piezoelectric phenomena in solids by the stochastic perturbation technique

Kamiński

Corigliano

2011

Meccanica

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The main aim here is to present the application of the generalized stochastic perturbation technique to thermo-piezoelectric analysis of solid continua. The general nth order Taylor series representation for all random input parameters and the state functions is employed to formulate the coupled thermo-electro-elasticity equilibrium equations of the additional order; a determination of any probabilistic moments and characteristics is described; the discretization of the problem in terms of the Stochastic perturbation-based Finite Element Method is also provided. Since this expansion includes the lowest order partial derivatives, the structural sensitivity analysis using direct differentiation is performed at the same time with probabilistic modeling contrasted with the Monte-Carlo simulation results. The probabilistic approach is extended here towards an accounting for the stochastic ageing processes, which appear frequently in aggressive external environments and under dynamic excitation. The two parametric stochastic process with Gaussian initial value and ageing velocity is tested for this purpose. The entire procedure is tested on the example of the thermo-electro-elastic pulsation of the beam modeled analytically using the symbolic software MAPLE, where polynomial approximations, design sensitivities, probabilistic moments and their histories are computed and visualized.

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Section: Computational Analysismentioning

confidence: 99%

“…Now, let us consider the stochastic variations in the piezoelectric beam length using the following linear representation for stochastic variations [6] in its length:…”

Section: Numerical Verification Of the Stochastic Ageingmentioning

confidence: 99%

Sensitivity, probabilistic and stochastic analysis of the thermo-piezoelectric phenomena in solids by the stochastic perturbation technique

Kamiński

Corigliano

2011

Meccanica

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“…The main wear mechanism is that during the friction and wear process, the modified PAN fiber was peeled off from the polymer surface (see Figure 10A) in the form of wear debris (see Figure 10B) between the friction couples. At the pits (see Figure 10C), the peeled abrasive chips were filled in by the pressure and motion between the friction nips, which provided a good homogenization of the frictional contact of the material 43 . As the grinding debris continued to accumulate, the surface of the material gradually formed a discontinuous transfer film, and the good contact state between the films can effectively improve the surface temperature uniformity and suppressed the high‐temperature wear.…”

Section: Resultsmentioning

confidence: 99%

“…At the pits (see Figure 10C), the peeled abrasive chips were filled in by the pressure and motion between the friction nips, which provided a good homogenization of the frictional contact of the material. 43 As the grinding debris continued to accumulate, the On the other hand, the thickness and stability of the water film also had a certain influence on the wear mechanism of the sample.…”

Section: Wear Mechanism Of Modified Pan Fiber-reinforced Tpu Composmentioning

confidence: 99%

Development of modified polyacrylonitrile fibers for improving tribological performance characteristics of thermoplastic polyurethane material in water‐lubricated sliding bearings

Liang

Guo

Tian

et al. 2020

Polymers for Advanced Techs

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Thermoplastic polyurethane (TPU) is one of the most popular marine bearing materials because of its excellent characteristics. However, severe wear often occurs under some extreme conditions. In order to improve the service life of bearing material, this work introduced the polyacrylonitrile (PAN) fiber as a reinforcement material to further enhance TPU tribological properties. Considering that the bearing material does not process self-lubricating or cannot form a stable water film under some working conditions, the PAN fiber was hydrophilically modified to alleviate this problem. The effects of fiber addition, operation speed, and applied load on the tribological properties of the composites were examined by using a tribo-tester. The friction coefficient of the samples, the surface morphology after rubbing, and the wear loss, and so on, were also comprehensively analyzed. It was found that the friction coefficient of 30% modified PAN fiber at 500 r/min and 0.8 MPa load was 0.08, and its friction coefficient was 81.8% lower than the pure sample under the same working condition, this is mainly due to the high hydrophilicity of the modified PAN fiber, which makes it easier to form a water film between the composite material and the copper disc. Furthermore, adhesive wear occurred in unmodified samples, while modified samples contained abrasive wear. This new material modification method and design idea can be used for improving the performance of water-lubricated bearing materials. K E Y W O R D S modified PAN fiber, tribological properties, water-lubricated bearing 1 | INTRODUCTION As an important part of ship propulsion, the marine propeller shaft system provides the needed power for the ship. Because the stern tube bearing connects the propeller shaft, it is crucial to the safety and reliability of the whole mechanism. 1-3 Since the emergence of the oil resource crisis in the 1970s and the awareness of green environmental protection in recent years, water-lubricated bearings have attracted a lot of research attention. Water-lubricated bearings, using water as the lubricant and working medium, can prevent the pollution of the marine environment caused by lubricant oil leakages from traditional bearings. 4 However, water-lubricated bearings often experience severe friction and wear under extreme conditions such as starting, stopping, operating at low speed, and under heavy load, which greatly reduce the service life of the bearing. This is because it is difficult for the water-lubricated bearing friction pair to form a stable water film in boundary lubrication or even drive the bearing into the dry friction state. 5,6 Therefore, enhancing the lubrication performance of the stern bearing, especially its self-lubricating performance under boundary lubrication and dry friction, is of great significance for improving the efficiency, safety performance, and service life.

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“…The computer analysis provided in the next section illustrates the initial state for the stochastic process described by the following relation employing the Gaussian variables for the fiber and matrix [9]:…”

Section: Computational Implementationmentioning

confidence: 99%

Stochastic homogenization of the fibre-reinforced metallic composites via the Monte-Carlo simulation technique

Kamiński¹,

Leśniak²

2010

IOP Conf. Ser.: Mater. Sci. Eng.

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The main aim of this work is to apply the probabilistic homogenization method for the periodic fibre-reinforced composite material, whose components are metallic and may be subjected to the stochastic ageing processes. This homogenization method is mathematically based on the effective modules method, computational implementation is done thanks to the plane strain Finite Element Method code extended with the Monte-Carlo simulation and estimation algorithms. Initial material parameters of the fibre and matrix are modelled as the Gaussian random variables with the specified first two probabilistic moments. The stochastic aging processes are modelled as the linear decay of the Young moduli for the fibre and the matrix from their initial expectations and standard deviations using the ageing velocity defined as the Gaussian random variable also. The computer system MCCEFF used here, consisting of all necessary stochastic homogenization algorithms, allows to compute all necessary probabilistic moments and coefficients for certain time moments within the ageing history. As it is clear from the preliminary studies, the expected values of all homogenized tensor components decrease linearly in time, while their variances -apparently nonlinearly increase within the ageing time interval.

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Homogenization of metallic fiber-reinforced composites under stochastic ageing

Cited by 14 publications

References 5 publications

Sensitivity, probabilistic and stochastic analysis of the thermo-piezoelectric phenomena in solids by the stochastic perturbation technique

Sensitivity, probabilistic and stochastic analysis of the thermo-piezoelectric phenomena in solids by the stochastic perturbation technique

Development of modified polyacrylonitrile fibers for improving tribological performance characteristics of thermoplastic polyurethane material in water‐lubricated sliding bearings

Stochastic homogenization of the fibre-reinforced metallic composites via the Monte-Carlo simulation technique

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