Role of filler and its heterostructure on moisture sorption mechanisms in polyimide films

Sharma, Hom N.; Kroonblawd, Matthew P.; Sun, Yunwei; Glascoe, Elizabeth A.

doi:10.1038/s41598-018-35181-1

Cited by 19 publications

(17 citation statements)

References 57 publications

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“…The dynamic-triple-mode sorption diffusion model is a continuum scale model consisting of three sorption modes (i.e., Henry’s, Langmuir, and pooling) and Fickian diffusion. The model is described in the method section and previous publications 36 – 38 and allows for the mechanistic interpretation of experimental data.…”

Section: Resultsmentioning

confidence: 99%

“…Further details are provided in the Supporting Information. Details on the equipment and experimental setup can be found in prior publications 37,38 . Herein, 3 different types of materials (i.e., Sylgard-184, Zircar RS-1200, and silica filled PDMS M9787) were used in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Previously, a triple-mode sorption model was derived that includes a dynamic-Langmuir model, and equilibrium Henry’s and pooling models coupled to a Fickian diffusion model 36 – 38 . The dynamic triple-mode model describes the dynamic uptake of moisture in 1D samples exceptionally well but was never tested against 3D sample data.…”

Section: Introductionmentioning

confidence: 99%

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Predicting 3D moisture sorption behavior of materials from 1D investigations

Sharma

Sun

Glascoe

2020

Sci Rep

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Moisture in materials can be a source of future outgassing and exacerbate unwanted changes in physical and chemical properties. Here, we investigate the effect of sample size and shape on the moisture transport phenomena through a combined experimental and modeling approach. Several different materials varying in size and shape were investigated over a wide range of relative humidities (0–90%) and temperatures ($$30{-}70^{\,\circ } \hbox {C}$$ 30 - 70 ∘ C ) using gravimetric type dynamic vapor sorption (DVS). A dynamic triple-mode sorption model, developed previously, was employed to describe the experimental results with good success; the model includes absorption, adsorption, pooling (clustering) of species, and molecular diffusion. Here we show that the full triple-mode sorption model is robust enough to predict the dynamic uptake and outgassing of 3-dimensional (3D) samples using parameters derived from quasi-1D samples. This successful demonstration on three different materials (filled polydimethylsiloxane (PDMS), unfilled PDMS, and ceramic inorganic composite) illustrates that the model is robust at describing the scale-independent physics and chemistry of moisture sorption and diffusion materials. This work demonstrates that while sorption mechanisms manifest in testing of all sample sizes, some of these mechanisms were so subtle that they were overlooked in our initial modeling and assessment, illustrating the importance of multi-scale experiments in the development of robust predictive capabilities. Our study also outlines the challenges and viable solutions for global optimization of a multi-parameter model. The ability to quantify moisture sorption and diffusion, independent of scale, using 1D lab-scale experiments enables prediction of long-term bulk materials behavior in real applications.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Predicting 3D moisture sorption behavior of materials from 1D investigations

Sharma

Sun

Glascoe

2020

Sci Rep

Self Cite

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“…(17). This approach has been used successfully in the past to calibrate reactive transport systems in high-dimensional parameter space (e.g., Sharma et al 2017Sharma et al , 2018.…”

Section: Global Optimizationmentioning

confidence: 99%

“…For this reason, Langmuir adsorption and pooling/clustering are often treated as equilibrium reactions, and both the adsorbed and clustered concentrations can be calculated as secondary state variables that are not directly solved in partial differential equations for transport and ordinary differential equations for reaction kinetics. The dynamic nature of mass uptake in polymeric materials stimulated the study and development of kinetic adsorption models (Harley et al 2014;Sun et al 2015;Sharma et al 2017Sharma et al , 2018.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification of Multiple Gas Transport and Sorption in Porous Polymers

2019

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A high-fidelity physics-based model of mixed-gas transport coupled with kinetic and equilibrium adsorption is derived, and experiments were performed in order to calibrate and exercise the model. In the literature, a continuum-scale model that couples Fickian diffusion with Henry's law absorption, and kinetic Langmuir adsorption was previously developed to describe the diffusion and sorption of moisture in porous materials. Here, we expand the model to gases, rather than moisture, derive, and implement a competitive adsorption mechanism into the model to enable mixed-gas sorption. This model facilitates a mechanistic-based understanding of the sorption and diffusion processes of mixed gases in polymeric materials. Diffusion and sorption experiments were conducted for a range of partial pressures; model validation and calibration were carried out by comparing modeled mass uptake and experimental data considering the uncertainties of conceptualized (or assumed) physical processes and system parameters. Uncertainty quantification and sensitivity analysis methods are described and exercised here to demonstrate the capability of this predictive model.

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Hydrothermal aging of polyimide film

Braun

Nam

Mata

et al. 2022

J of Applied Polymer Sci

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The hydrothermal aging of a commercial polyimide film, (poly[pyromellitic dianhydride‐co‐4,4′‐oxydianiline]) is investigated, providing further insight into the well‐known loss of properties that can occur for these materials in the presence of moisture. The study involved measuring ATR‐FTIR, ultimate tensile strength, and percent elongation at break, under accelerated hydrothermal aging conditions at three different temperatures (70, 80, and 90°C). ATR‐FTIR data was analyzed using chemometrics in order to identify significant trends that develop upon the accelerated aging conditions. The most dramatic changes were observed for the aging at 90°C. Changes in the ATR‐FTIR spectra for aging at all three temperatures can be attributed to hydrolysis of the imide groups. Ultimate tensile strength was also used to monitor the hydrothermal aging process. This data was used to construct an Arrhenius plot from which an activation energy of 71.8 KJ/mol was determined for the hydrothermal aging process. This value is comparable to that of textiles used in fire protective clothing, suggesting that polyimide is a viable candidate for modeling the degradation of these textiles. This paper also shows the large potential of chemometrics for polymer aging studies as it allows identifying degradation mechanisms from subtle chemical changes in the materials.

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Role of filler and its heterostructure on moisture sorption mechanisms in polyimide films

Cited by 19 publications

References 57 publications

Predicting 3D moisture sorption behavior of materials from 1D investigations

Predicting 3D moisture sorption behavior of materials from 1D investigations

Uncertainty Quantification of Multiple Gas Transport and Sorption in Porous Polymers

Hydrothermal aging of polyimide film

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