Stochastic stability of performance properties for materials with non‐deterministic microstructure

Gitman, Inna M.; Gitman, M. B.; Batin, S. E.; Boyarshinov, Dmitriy A.

doi:10.1002/zamm.202000240

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Periodic boundary conditions on this RVE are assumed, and the finite element model is solved by using the FFT-based approach. Due to the periodicity assumption and its efficiency in representing the material with its structure while generating the RVE, the size and content of the RVE should be chosen conscientiously. − This approach is computationally more reasonable compared to conventional finite element models; however, it is still more costly than Mori–Tanaka.…”

Section: Materials and Methodsmentioning

confidence: 99%

Halloysite Nanotube-Enhanced Polyacrylonitrile Ultrafiltration Membranes: Fabrication, Characterization, and Performance Evaluation

Acarer,

Pir,

Tüfekci

et al. 2023

ACS Omega

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This research focuses on the production and characterization of pristine polyacrylonitrile (PAN) as well as halloysite nanotube (HNT)-doped PAN ultrafiltration (UF) membranes via the phase inversion technique. Membranes containing 0.1, 0.5, and 1% wt HNT in 16% wt PAN are fabricated, and their chemical compositions are examined using Fourier transform infrared (FTIR) spectroscopy. Scanning electron microscopy (SEM) is utilized to characterize the membranes’ surface and cross-sectional morphologies. Atomic force microscopy (AFM) is employed to assess the roughness of the PAN/HNT membrane. Thermal characterization is conducted using thermal gravimetric analysis (TGA) and differential thermal analysis (DTA), while contact angle and water content measurements reveal the hydrophilic/hydrophobic properties. The pure water flux (PWF) performance of the porous UF water filtration membranes is evaluated at 3 bar, with porosity and mean pore size calculations. The iron (Fe), manganese (Mn), and total organic carbon (TOC) removal efficiencies of PAN/HNT membranes from dam water are examined, and the surfaces of fouled membranes are investigated by using SEM post-treatment. Mechanical characterization encompasses tensile testing, the Mori–Tanaka homogenization approach, and finite element analysis. The findings offer valuable insights into the impact of HNT doping on PAN membrane characteristics and performance, which will inform future membrane development initiatives.

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Section: Materials and Methodsmentioning

confidence: 99%

Halloysite Nanotube-Enhanced Polyacrylonitrile Ultrafiltration Membranes: Fabrication, Characterization, and Performance Evaluation

Acarer,

Pir,

Tüfekci

et al. 2023

ACS Omega

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“…The model has shown robust performance even for low numbers of datapoints, such as the eight observations case (the leftmost point in Figure 6), with the maximum error remaining below 8%. This agrees with the findings presented by Gitman et al (27), which show that the fuzzy methodology does not need large sizes of data to obtain accurate results.…”

Section: Analysis Of Training Data Size Impactmentioning

confidence: 99%

Fuzzy Inference Model for Railway Track Buckling Prediction

Słodczyk,

Fletcher,

Gitman

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The application of rail buckling models is often limited by uncertain information with respect to track properties, and many conventional models are poorly suited to network-wide or even regional application. Here, a methodology using fuzzy sets is presented that, when trained using buckling data can use inputs of track properties to predict the minimum buckling temperature increase for a particular track. An investigation of the impact of the size of training data and the influence of key track parameters on the minimum buckling temperature increase was conducted, and it was found that a high level of influence stems from the sleeper spacing and fastener torsional resistance parameters. The model was shown to give a low prediction error even for small dataset sizes of training data. The results of this work show the efficacy of a fuzzy sets based model when applied to track buckling prediction data, giving both a low error and rapid calculation times. The approach has potential for application for a wider array of variables, such as track geometry and vehicle dynamics, and is not limited to the study of track buckling owing to the flexibility of the fuzzy inference methodology.

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“…Note, however, that the manufacturing angle

θ_{p}

and infill density are independent variables that can be changed individually; contrary to that, the size of manufacturing voids (see Figure 6) depends on the infill density as void sizes will decrease if more internal space are infilled (higher infill density). Therefore, in order to demonstrate the performance of the FIS with multiple interconnected input parameters, 27 the effective size of manufacturing voids,

d_{v}

, was included in the research. It was measured by using an optical microscope 19 .…”

Section: Fis For 3d‐printed Plain Specimensmentioning

confidence: 99%

Fuzzy inference system for failure strength estimation of plain and notched 3D‐printed polylactide components

Gitman

Susmel

2022

Fatigue Fract Eng Mat Struct

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A fuzzy sets based computational fuzzy inference system has been used to estimate the failure strength of 3D‐printed polylactide components. The research has confirmed and validated the accuracy and reliability of this approach with a satisfying level of reliability. As far as failure strength is concerned, the following two types of input parameters have been considered: (i) manufacturing variables (i.e., manufacturing angle, infill density, and size of manufacturing voids) and (ii) geometrical features (i.e., notch root radius). The individual significance of the various parameters under investigation has been identified together with the influence on the estimation accuracy of the number of specimens being used. The fuzzy inference system has shown an accuracy improvement compared to the failure strength estimation, obtained as a result of an existing analytical method. The fuzzy inference system approach has also been shown to have a good potential as a decision‐making tool in design problems.

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Stochastic stability of performance properties for materials with non‐deterministic microstructure

Cited by 3 publications

References 15 publications

Halloysite Nanotube-Enhanced Polyacrylonitrile Ultrafiltration Membranes: Fabrication, Characterization, and Performance Evaluation

Halloysite Nanotube-Enhanced Polyacrylonitrile Ultrafiltration Membranes: Fabrication, Characterization, and Performance Evaluation

Fuzzy Inference Model for Railway Track Buckling Prediction

Fuzzy inference system for failure strength estimation of plain and notched 3D‐printed polylactide components

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