2016
DOI: 10.1109/jsen.2016.2603172
|View full text |Cite
|
Sign up to set email alerts
|

Identification of NR and EPDM Samples by Means of Thermogravimetric Analysis and Multivariate Methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 9 publications
(7 citation statements)
references
References 30 publications
0
5
0
Order By: Relevance
“…The initial weight loss is mainly attributed to the decomposition and evolution of thermally volatile components such as processing oil and related ingredients. The later weight loss is a result of enhanced polymer decomposition, while the decomposition of black fillers occurs at higher temperatures 25,34 . Notably, sulfur‐cured composites C and D exhibited a higher rate of weight loss at lower temperatures compared to peroxide‐cured composites E, F, G, and H due to the early decomposition of the sulfur‐cured composites at lower temperatures.…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…The initial weight loss is mainly attributed to the decomposition and evolution of thermally volatile components such as processing oil and related ingredients. The later weight loss is a result of enhanced polymer decomposition, while the decomposition of black fillers occurs at higher temperatures 25,34 . Notably, sulfur‐cured composites C and D exhibited a higher rate of weight loss at lower temperatures compared to peroxide‐cured composites E, F, G, and H due to the early decomposition of the sulfur‐cured composites at lower temperatures.…”
Section: Resultsmentioning
confidence: 97%
“…The later weight loss is a result of enhanced polymer decomposition, while the decomposition of black fillers occurs at higher temperatures. 25,34 Notably, sulfur-cured composites C and D exhibited a higher rate of weight loss at lower temperatures compared to peroxide-cured composites E, F, G, and H due to the early decomposition of the sulfur-cured composites at lower temperatures. The degradation temperatures of different components of the EPDM composites are available in the earlier study by Sanches et al 2 Since the heat required to break thermally stable C C bonds in peroxide-cured composites is higher than that needed to break the thermally labile S S bonds in the sulfur-cured system, the peroxide-cured composites show a sharp weight loss at considerably higher temperatures, ranging from 430 to 490 C. A $55% weight loss was observed for composite E with a 50 C temperature increase, starting from 440 to 490 C. 35 Figure 3 demonstrates that the degradation curve of all four peroxide-cured composites-E, F, G, and H-is similar, except for the percentage weight remaining after 490 C. This variation in the percentage weight remaining after 490 C is primarily due to differences in carbon filler contents, with the highest in composite E (31%) and the lowest in composite H (24%).…”
Section: Thermal Property Analysismentioning
confidence: 99%
“…The resin crosslinking of the rubbers by forming the C‐C linkages between the chains might have increased the thermal stability of the compound compared to the raw rubber 41 . Ruiz reported a similar comparison property for the NR and ethylene propylene diene rubber‐based uncured and cured compounds, respectively 43 …”
Section: Resultsmentioning
confidence: 99%
“…41 Ruiz reported a similar comparison property for the NR and ethylene propylene diene rubber-based uncured and cured compounds, respectively. 43…”
Section: Thermal Stability Of the Resin-cured Compoundmentioning
confidence: 99%
“…Finally, kNN assigns the unknown incoming sample to the most voted class [52]. Although the technical literature has explored different values of the parameter k, values of k in the range 3-6 are often applied [38,53,54]. kNN generates as many outputs as classes defined in the problem, which are normalized in the 0-1 range, indicating the membership level to each class of the incoming samples.…”
Section: Multivariate Data Analysis Methodsmentioning
confidence: 99%