Author: Sarah Nicole Scott
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
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Polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. It can be advantageous to surround objects of interest, such as electronics, with foams in a hermetically sealed container to protect the electronics from hostile environments, such as a crash that produces a fire. However, in fire environments, gas pressure from thermal decomposition of foams can cause mechanical failure of the sealed system. In this work, a detailed study of thermally decomposing polymeric methylene diisocyanate (PMDI)-polyether-polyol based polyurethane foam in a sealed container is presented. Both experimental and computational work is discussed. Validation experiments, called Foam in a Can (FIC) are presented. In these experiments, 320 kg/m3 PMDI foam in a 0.2 L sealed steel container is heated to 1073 K at a rate of 150 K/min and 50 K/min. FIC is tested in two orientations, upright and inverted. The experiment ends when the can breaches due to the buildup of pressure from the decomposing foam. The temperature at key locations is monitored as well as the internal pressure of the can. When the foams decompose, organic products are produced. These products can be in the gas, liquid, or solid phase. These experiments show that the results are orientation dependent: the inverted cans pressurize, and thus breach faster than the upright. There are many reasons for this, among them: buoyancy driven flows, the movement of liquid products to the heated surface, and erosive channeling that enhance the foam decomposition. The effort to model this problem begins with Erickson's No Flow model formulation. In this model, Arrhenius type reactions, derived from Thermogravimetric Analysis (TGA), control the reaction. A three-step reaction is used to decompose the PMDI RPU (rigid polyurethane foam) into CO2, organic gases, and char. Each of these materials has unique properties. The energy equation is used to solve for temperature through the domain. Though gas is created in the reaction mechanism, it does not advect, rather, its properties are taken into account when calculating the material properties, such as the effective conductivity. The pressure is calculated using the ideal gas law. A rigorous uncertainty quantification (UQ) assessment, using the mean value method, along with an analysis of sensitivities, is presented for this model. The model is also compared to experiments. In general, the model works well for predicting temperature, however, due to the lack of gas advection and presence of a liquid phase, the model does not predict pressure well. Porous Media Model is then added to allow for the advection of gases through the foam region, using Darcy's law to calculate the velocity. Continuity, species, and enthalpy equations are solved for the condensed and gas phases. The same reaction mechanism as in the No Flow model is used, as well as material properties. A mesh resolution study, as well as a calibration of parameters is conducted, and the model is compared to experimental results. This model, due to the advection of gases, produces gravity dependent results that compare well to experiment. However, there were several properties that had to be calibrated, and replacing these calibrated parameters with physically derived values is desired. To that end, Vapor Liquid Equilibrium (VLE) equations are added to the Porous Media model. These equations predict the vapor/liquid split of the organic decomposition products based on temperature and pressure. UQ for the parameters in the model as well as a sensitivity study is presented, in addition to comparison to experiment. The addition of the VLE improved temperature and pressure prediction, both qualitatively and quantitatively.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
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Book Description
In this study, polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. It can be advantageous to surround objects of interest, such as electronics, with foams in a hermetically sealed container in order to protect them from hostile environments or from accidents such as fire. In fire environments, gas pressure from thermal decomposition of foams can cause mechanical failure of sealed systems. In this work, a detailed uncertainty quantification study of polymeric methylene diisocyanate (PMDI)-polyether-polyol based polyurethane foam is presented and compared to experimental results to assess the validity of a 3-D finite element model of the heat transfer and degradation processes. In this series of experiments, 320 kg/m3 PMDI foam in a 0.2 L sealed steel container is heated to 1,073 K at a rate of 150 K/min. The experiment ends when the can breaches due to the buildup of pressure. The temperature at key location is monitored as well as the internal pressure of the can. Both experimental uncertainty and computational uncertainty are examined and compared. The mean value method (MV) and Latin hypercube sampling (LHS) approach are used to propagate the uncertainty through the model. The results of the both the MV method and the LHS approach show that while the model generally can predict the temperature at given locations in the system, it is less successful at predicting the pressure response. Also, these two approaches for propagating uncertainty agree with each other, the importance of each input parameter on the simulation results is also investigated, showing that for the temperature response the conductivity of the steel container and the effective conductivity of the foam, are the most important parameters. For the pressure response, the activation energy, effective conductivity, and specific heat are most important. The comparison to experiments and the identification of the drivers of uncertainty allow for targeted development of the computational model and for definition of the experiments necessary to improve accuracy.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 91
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Book Description
Polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. In fire environments, gas pressure from thermal decomposition of polymers can cause mechanical failure of sealed systems. In this work, a detailed uncertainty quantification study of PMDI-based polyurethane foam is presented to assess the validity of the computational model. Both experimental measurement uncertainty and model prediction uncertainty are examined and compared. Both the mean value method and Latin hypercube sampling approach are used to propagate the uncertainty through the model. In addition to comparing computational and experimental results, the importance of each input parameter on the simulation result is also investigated. These results show that further development in the physics model of the foam and appropriate associated material testing are necessary to improve model accuracy.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
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Author: D. C. Allport
Publisher: John Wiley & Sons
ISBN: 9780471958123
Category : Science
Languages : en
Pages : 470
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Book Description
- MDI und TDI sind Diisocyanate, die industriell als Bausteine für Polymere verwendet werden, aber für die Gesundheit und die Umwelt nicht unbedenklich sind - erstmals werden hier Gesundheits- und Umweltrisiken von TDI und MDI gezielt in einem Band angesprochen - mit zahlreichen Photos, Spektren, Tabellen und Diagrammen - Beiträge von Experten aus Forschung, Industrie und Behörden
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 35
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We are developing computational models to help understand manufacturing processes, final properties and aging of structural foam, polyurethane PMDI. Th e resulting model predictions of density and cure gradients from the manufacturing process will be used as input to foam heat transfer and mechanical models. BKC 44306 PMDI-10 and BKC 44307 PMDI-18 are the most prevalent foams used in structural parts. Experiments needed to parameterize models of the reaction kinetics and the equations of motion during the foam blowing stages were described for BKC 44306 PMDI-10 in the first of this report series (Mondy et al. 2014). BKC 44307 PMDI-18 is a new foam that will be used to make relatively dense structural supports via over packing. It uses a different catalyst than those in the BKC 44306 family of foams; hence, we expect that the reaction kineti cs models must be modified. Here we detail the experiments needed to characteriz e the reaction kinetics of BKC 44307 PMDI-18 and suggest parameters for the model based on these experiments. In additi on, the second part of this report describes data taken to provide input to the preliminary nonlinear visco elastic structural response model developed for BKC 44306 PMDI-10 foam. We show that the standard cu re schedule used by KCP does not fully cure the material, and, upon temperature elevation above 150°C, oxidation or decomposition reactions occur that alter the composition of the foam. These findings suggest that achieving a fully cured foam part with this formulation may be not be possible through therma l curing. As such, visco elastic characterization procedures developed for curing thermosets can provide only approximate material properties, since the state of the material continuously evolves during tests.
Author: A A Stec
Publisher: Elsevier
ISBN: 184569807X
Category : Medical
Languages : en
Pages : 721
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Book Description
Toxic fire effluents are responsible for the majority of fire deaths, and an increasing large majority of fire injuries, driven by the widespread and increasing use of synthetic polymers. Fire safety has focused on preventing ignition and reducing flame spread through reducing the rate of heat release, while neglecting the important issue of fire toxicity. This is the first reference work on fire toxicity and the only scientific publication on the subject in the last 15 years. Assessment of toxic effects of fires is increasingly being recognised as a key factor in the assessment of fire hazards. This book raises important issues including the types of toxic effluents that different fires produce, their physiological effects, methods for generation and assessment of fire toxicity, current and proposed regulations and approaches to modelling the toxic impact of fires. The contributors to Fire toxicity represent an international team of the leading experts in each aspect of this challenging and important field. This book provides an important reference work for professionals in the fire community, including fire fighters, fire investigators, regulators, fire safety engineers, and formulators of fire-safe materials. It will also prove invaluable to researchers in academia and industry. Investigates the controversial subject of toxic effluents as the cause of the majority of fire deaths and injuries Describes the different types of toxic effluents and the specific fires that they produce, their physiological effects and methods for generation Provides an overview of national and international fire safety regulations including current and proposed regulations such as a standardized framework for prediction of fire gas toxicity
Author: Jeffrey Stanley Stewart
Publisher:
ISBN:
Category :
Languages : en
Pages : 626
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