1986
DOI: 10.5254/1.3538224
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Dynamic Mechanical Thermal Analysis and Transmission Electron Microscopy of Elastomer Blends

Abstract: Dynamic mechanical thermal analysis and transmission electron microscopy have been used to elucidate the structure of binary and ternary blends of NR, BIIR, and IM. Dynamic measurements at 10 Hz were able to resolve loss-tangent peaks into a major peak due to NR and a broad shoulder associated with BIIR and IM. Interpretation of these data in conjunction with electron micrographs indicate that the butyl polymers (BIIR and IM) form a second phase in a matrix of NR for compositions containing at least 67% NR. Dy… Show more

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Cited by 14 publications
(10 citation statements)
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“…An example of a calculation is shown as follows: for −1 on the coded scale, Table II gives the full experimental design and real value for each point. The design provides for eight factorial compounds (mix numbers 1–8), which enable modeling of linear and second‐order interactive effects; seven star points,9–14 which allow for modeling of quadratic curvature; and replication of the center point six times,15–20 which provides an assessment of error and model adequacy. Through the use of multivariable linear regression analysis, the data are fitted to a second‐order response surface equation of the general form in which Y is a response or dependent variable to be fitted, X i and X j are independent variables, b 0 is the constant term, b i is the linear coefficient, b ii is the quadratic coefficient, b ij is the interaction coefficient ( i ≠ j ), and k is the number of variables.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…An example of a calculation is shown as follows: for −1 on the coded scale, Table II gives the full experimental design and real value for each point. The design provides for eight factorial compounds (mix numbers 1–8), which enable modeling of linear and second‐order interactive effects; seven star points,9–14 which allow for modeling of quadratic curvature; and replication of the center point six times,15–20 which provides an assessment of error and model adequacy. Through the use of multivariable linear regression analysis, the data are fitted to a second‐order response surface equation of the general form in which Y is a response or dependent variable to be fitted, X i and X j are independent variables, b 0 is the constant term, b i is the linear coefficient, b ii is the quadratic coefficient, b ij is the interaction coefficient ( i ≠ j ), and k is the number of variables.…”
Section: Methodsmentioning
confidence: 99%
“…Its faster cure rate results in cure compatibility with other diene rubbers, thus enabling the development of useful blends. For example, BIIR has been blended with NR to produce a compound with higher damping and thermal stability 12–14. However, there is no report of any statistically designed experiments that have been carried out to determine the effects of varying specific factors on the cure characteristic and physical properties of this blend compound.…”
Section: Introductionmentioning
confidence: 99%
“…In general, when immiscible polymers are mixed, multiple peaks will appear in the temperature tan δ chart, as long as the peak position of each constituent is not closely located 5. Because the tan δ chart (Figure 1) showed the single peak for each blend material, the constituent polymers were expected to be mutually compatible and to form a uniform phase.…”
Section: Resultsmentioning
confidence: 99%
“…The better the compatibilization, the closer the peaks related to the glass transition of the components. [14][15][16][17][18] When the rubbers components were blended, even upon the addition of TOR or with an increase in the mixing time, the temperatures at which the maxima of tan d occurred did not change, which indicated the strong immiscible character of the rubber forming the compounds.…”
Section: Factorial Experimental Designmentioning
confidence: 99%