Process parameter optimization through Design of Experiments in synthesis of high cis-polybutadiene rubber

Maiti, Manoranjan; Srivastava, Vivek; Shewale, Satish D.; Jasra, Raksh V.; Chavda, Ankur; Modi, Siddharth

doi:10.1016/j.ces.2013.12.002

Cited by 19 publications

(14 citation statements)

References 27 publications

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“…The maximum of carbon source mass found by the comparison of DoE1 and DoE2 seems to indicate that too many adatoms produced by the carbon source with the interaction of H 2 leads to smaller graphene domains, due to too many nucleations and on the other hand, a few adatoms do not allow graphene domains to grow more [26,21,32].…”

Section: Results Of the Designs Of Experimentsmentioning

confidence: 96%

“…On the other hand, a higher rate of increasing leads to smaller graphene domains, the number of layers could be controlled : too high a rate of increasing produces enough adatoms to make a second layer, while too low a rate does not permit the growth of the first layer to have large‐sized crystals. Thus, there is a most favorable rate of increasing that is clearly shown here by the contour curves, around 1.4 °C min −1 .…”

Section: Resultsmentioning

confidence: 99%

“…Thus, DoE1 shows that a higher temperature (1070 8C) (þX 11 ), a lower increasing rate (1.5 8C min À1 ) [-X 12 ] and a lower mass of carbon source (5 mg) (ÀX 13 ) are better to grow bigger crystals. In DoE2, a longer annealing time (60 min) [þX 21 ], a lower increasing rate (1.2 8C min À1 ) (ÀX 22 ), a shorter growth time (90 min) (ÀX 23 ), and a higher mass of carbon source (5 mg) (þX 24 ) favor bigger crystals.…”

Section: Results Of the Designs Of Experimentsmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of CVD parameters for graphene synthesis through design of experiments

Papon

Pierlot

Sharma

et al. 2016

Physica Status Solidi (b)

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The optimization process of the desired size and quality of graphene domains is usually very difficult due to the numerous interdependent parameters in chemical vapor deposition (CVD). Here, the method so‐called “designs of experiments” is applied to estimate the relative importance and value of some of these parameters and their interactions for the CVD growth of graphene on Cu foil using waste plastic as a solid source. We found that the growth temperature, time, rate of heating, and preannealing time of the substrate influence significantly graphene growth. In particular, the growth time and rate of increasing of the carbon source temperature appear as the main factors for the growth of graphene domains, where the manipulation of only these two parameters could dramatically change the size of crystals. Thus, our experiment shows that for synthesis of larger graphene domains using waste plastic not only do the growth parameters of Cu substrate influence graphene growth but also the carbon source rate of heating.

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Section: Results Of the Designs Of Experimentsmentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

Section: Results Of the Designs Of Experimentsmentioning

confidence: 99%

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Optimization of CVD parameters for graphene synthesis through design of experiments

Papon

Pierlot

Sharma

et al. 2016

Physica Status Solidi (b)

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“…The synthetic rubber industry has been developing and investing in the manufacture of new elastomers and vulcanized compounds. For this reason, the production of high cis‐polybutadiene has been the subject of several scientific studies throughout the last decades, given the demands for improvement of the mechanical properties of rubbers used by the tire industry . Particularly, polybutadienes or butadiene rubbers (BR) are the second most produced rubber worldwide and 70% of the global production of BR are consumed by the tire industry .…”

Section: Introductionmentioning

confidence: 99%

Modeling of 1,3‐Butadiene Solution Polymerizations Catalyzed by Neodymium Versatate

Vasconcelos

Brandão

Dutra

et al. 2019

Polymer Engineering & Sci

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The control of polymerization conditions and final properties of polybutadiene produced through solution polymerizations constitute an important industrial challenge, which can be tackled with help of mathematical models. For this reason, the present work focus on the development of a phenomenological mathematical model, and estimation of the respective model parameters, in order to describe the kinetics of 1,3‐butadiene solution polymerizations catalyzed by neodymium versatate. The proposed model can be used to predict some important final properties of polybutadiene resins, including the cis‐content and average molecular weights, and the evolution of operation conditions that are used at plant site to monitor the course of the reaction, including the reaction temperature and pressure. Given the low required computation times, the proposed model can be used for purposes of monitoring and control in actual industrial sites. POLYM. ENG. SCI., 59:2290–2300, 2019. © 2019 Society of Plastics Engineers

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“…The effects of processing parameters on the properties and the production of polymer blends and vulcanizates using DoE and response surface methodology were reported . It has been also reported the use of DoE to find the appropriate parameters in the polymerization of a high cis BR by Maiti et al . In such work, the statistical tool is applied to find an efficient catalytic system and the appropriate polymerization conditions of butadiene.…”

Section: Introductionmentioning

confidence: 99%

Optimization of properties in a rubber compound containing a ternary polymer blend using response surface methodology

Salvatori

Sánchez²,

Lombardi³

et al. 2018

J of Applied Polymer Sci

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In order to find the best combination of three synthetic rubbers, that is, styrene‐butadiene rubber (SBR) grade 1712, SBR grade 1721 and high‐1,4‐cis polybutadiene, that produce a compound with specific end‐use properties, a statistical experimental design is proposed in this work. The design consists of ten mixtures containing specific amounts of total styrene and BR content. A number of properties are tested in each mixture, selecting those related to requirements for the tread of a high performance tire: glass transition temperature (Tg), the ratio between the viscous modulus and the elastic modulus (tanδ@60 °C), Mooney viscosity, and the tensile properties. The values obtained for each property are fit to statistically significant models, obtaining the respective response surfaces. These are next used to define a desirable formulation with the optimal ratio of each rubber, and finally the optimized formulation is validated by comparing the experimental and predicted values for each modeled property. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46548.

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Process parameter optimization through Design of Experiments in synthesis of high cis-polybutadiene rubber

Cited by 19 publications

References 27 publications

Optimization of CVD parameters for graphene synthesis through design of experiments

Optimization of CVD parameters for graphene synthesis through design of experiments

Modeling of 1,3‐Butadiene Solution Polymerizations Catalyzed by Neodymium Versatate

Optimization of properties in a rubber compound containing a ternary polymer blend using response surface methodology

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