Fatigue testing of implantable specimens: Effect of sample size and branching on the dynamic fatigue properties of polyisobutylene-based biomaterials

Puskás, Judit E.; Santos, Lucas M. Dos; Fischer, Franz; Götz, Christian; Fray, Mirosława El; Altstädt, Volker; Tomkins, Matt D.

doi:10.1016/j.polymer.2008.10.061

Cited by 22 publications

(18 citation statements)

References 27 publications

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“…The physical properties of arb PIB are largely decided by its molecular weight distribution and branching levels . Having a deep understanding of the reaction mechanism is important for selecting experimental conditions to obtain tailored physical properties.…”

Section: Introductionmentioning

confidence: 99%

Applying Multidimensional Method of Moments for Modeling and Estimating Parameters for Arborescent Polyisobutylene Production in Batch Reactor

Zhao

Arriola

Puskás

et al. 2016

Macro Theory & Simulations

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A mathematical model is developed for the arborescent polyisobutylene system in a batch reactor, using multidimensional method of moments, to predict the concentrations of monomer and inimer as well as number and weight average molecular weight. This model is significantly efficient in computation, making parameter estimation practical. Simulation results agree with results obtained by Monte Carlo simulations. Parameter estimation results show that using the weight average molecular weight data provide better overall fit than leaving them out in the previous model.

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Section: Introductionmentioning

confidence: 99%

Applying Multidimensional Method of Moments for Modeling and Estimating Parameters for Arborescent Polyisobutylene Production in Batch Reactor

Zhao

Arriola

Puskás

et al. 2016

Macro Theory & Simulations

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“…Based on the research of Puskas et al, the molecular weight distribution and branching level have a significant influence on the physical properties of the arb PIB . As a result, the reactor operating conditions (e.g., the initial concentrations of IM and IB and the duration of the batch) determine the properties of the arb PIB that is produced.…”

Section: Introductionmentioning

confidence: 99%

Advanced Monte Carlo Modeling Using Weight‐Based Selection of Arborescent Polyisobutylene Molecules in a Batch Reactor

Zhao

McAuley

Iedema

et al. 2016

Macro Theory & Simulations

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and copolymerization with one or more different vinyl monomers, which is called self-condensing vinyl copolymerization (SCVCP). [5][6][7][8][9][10][11][12][13] Puskas and Grasmüller have developed a "one-pot" living carbocationic copolymerization of IM and isobutylene (IB) to produce arborescent polyisobutylene ( arb PIB), [ 14,15 ] which greatly reduced the labor required compared with previous multi-step processes. [16][17][18] This one-pot living copolymerization system is illustrated in Figure 2 , where there are two types of vinyl groups, i.e., V I and V M , and three types of chloride end groups, i.e., C I , C M , and C S . V I is the vinyl group on the IM and V M is the vinyl group on the IB monomer. C I is an unreacted chloride group on the IM; C M is a chloride group formed after a reaction with V M , and C S is a chloride group formed after a reaction with V I . Each type of chloride group can be uncapped to form an active carbocation that can react with either type of vinyl group. As a result, there are six different propagation rate constants, which are named k pII , k pIM , k pMI , k pMM , k pSI and k pSM . The fi rst subscript letter after k p is the type of chloride group that is uncapped to produce the reactive carbocation and the second subscript is the type of vinyl group that is consumed. The corresponding propagation reactions are summarized in Table 1 , along with estimated values of the corresponding apparent rate constants. The apparent rate constants in An advanced Monte Carlo (MC) method is developed, using weight-based selection of polymer chains, to predict the molecular weight distribution (MWD) and branching level for arborescent polyisobutylene ( arb PIB) at the end of a batch reaction. This new weight-based MC method uses differential equations and random numbers to determine the detailed structure of arb PIB molecules. Results agree with those from an advanced number-based MC method. The proposed weight-based algorithm requires approximately twice the computation time of the numberbased method, but produces more accurate results in the high-molecular-weight portion of the MWD when the same number of polymer chains is assembled.

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“…Usually, the fatigue failure process involves four main stages: specimen integrity, crack nucleation, crack growth and complete damage. Most of the studies mainly focus on fatigue crack nucleation [13][14][15] and the influence of different factors on the crack growth process [16][17][18][19][20][21][22][23], such as sample size and branching [17], elastomer formulation [18], etc. Simultaneously, the mechanisms of fatigue crack growth under severe loading are established [24,25].…”

Section: Introductionmentioning

confidence: 99%

Impact of uniaxial tensile fatigue on the evolution of microscopic and mesoscopic structure of carbon black filled natural rubber

Sun

Nagarajan

et al. 2019

R. Soc. open sci.

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This investigation addresses the evolution of the microscopic and mesoscopic structures distribution, and micro-defects of carbon black (CB) filled natural rubber (NR) under uniaxial tensile condition during the fatigue process. NR was filled with three different grades of CB in order to understand the impact of the structural degree and specific surface areas of CB and fatigue degree on the Payne effect. It was found that the Payne effect was initially suppressed and then enhanced by increasing the degree of fatigue. The decrease of the storage modulus in the low strain area was attributed to the CB network destruction and the breakdown of the matrix cross-linking network in the early fatigue stage. However, by further increasing the degree of fatigue, the spatial rearrangement of CB aggregates with the orientation of molecular chains between adjacent CB aggregates will results in mechanical reinforcement before the appearance of micro-defects. Moreover, it has been demonstrated that the structural degree of CB has a stronger impact on the mesoscopic structures than the specific surface area of CB during the tensile fatigue process.

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Fatigue testing of implantable specimens: Effect of sample size and branching on the dynamic fatigue properties of polyisobutylene-based biomaterials

Cited by 22 publications

References 27 publications

Applying Multidimensional Method of Moments for Modeling and Estimating Parameters for Arborescent Polyisobutylene Production in Batch Reactor

Applying Multidimensional Method of Moments for Modeling and Estimating Parameters for Arborescent Polyisobutylene Production in Batch Reactor

Advanced Monte Carlo Modeling Using Weight‐Based Selection of Arborescent Polyisobutylene Molecules in a Batch Reactor

Impact of uniaxial tensile fatigue on the evolution of microscopic and mesoscopic structure of carbon black filled natural rubber

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